Lead data operations for AI audio models at HappyRobot. Translate research needs into data specs, manage end-to-end acquisition/annotation with internal and vendor teams, optimize tooling/workflows, and scale labeling operations to deliver high-quality datasets on time.
Build and operate production data pipelines, observability tools, and planning systems to maximize utilization, efficiency, and attribution of Anthropic's large-scale multi-cloud accelerator and CPU fleet. Requires strong Python/SQL, cloud operations, and Kubernetes experience in a high-ambiguity environment.
Senior Analytics Engineer owning OnePay's dbt models, Databricks BI, data quality, and semantic layers on a fast-moving fintech team. Requires 5+ years production analytics engineering, expert SQL/dbt, Databricks experience, and daily AI coding tool usage.
Forward Deployed Data Engineer building hybrid data pipelines and semantic layers for Hilbert's AI Growth Engine. Implements warehouse-native or managed ClickHouse integrations, partners with AI agents for accelerated onboarding, and ensures reasoning consistency across customer environments.
Senior Platform Engineer designing, building, and scaling database infrastructure for production and AI systems, including relational, analytical, and vector stores. Requires 7+ years experience with distributed systems, high-availability databases, and supporting AI workloads like vector search and RAG.
Senior Data Engineer responsible for designing and deploying scalable data infrastructure, orchestration models, and analytics tooling to enable data-driven decisions, ML products, and enterprise reporting at Vanta. Requires 4+ years data experience, software engineering mindset, modern data stack proficiency, and passion for secure, compliant data systems.
Senior Data Engineer building scalable data pipelines, services, and AI-ready data layers in Go/Scala/ClickHouse to power internal products, analytics, and agentic AI for go-to-market, engineering, and product teams. Requires 5+ years experience in production data systems, strong programming, SQL, and databases.
Senior Data Engineer responsible for building scalable ingestion pipelines, normalizing, and maintaining large-scale financial and alternative datasets from global vendors to support quantitative research and alpha generation. Requires 5+ years data engineering experience in finance/quant environments, strong Python/SQL/Linux skills, and deep knowledge of market/tick/reference data across asset classes.
Software Engineer building scalable data infrastructure, cataloging, versioning, and lineage tools to support ML research and production workflows at an AI-driven hedge fund. Requires 3+ years experience, strong software design skills, and expertise in a modern language like Python or Java.
Manage end-to-end file-based data integrations, ingestion, transformation, and maintenance for eligibility, marketing, and reporting. Own data integrity, resolve issues, automate workflows with AI, and partner cross-functionally with Customer Success, Engineering, and Revenue Operations teams.
Build and operate realtime and batch data pipelines processing billions of events daily at xAI. Design distributed data platforms, own data correctness, create shared datasets for product and business teams, and partner on data acquisition using tools like Spark, Kafka, Flink, and SQL.
Build analytical and BI infrastructure for Scale's Public Sector unit. Develop scalable data pipelines, models, warehouses, and quality tests from ambiguous processes to enable decision-making; requires 5+ years experience, SQL mastery, Python/R, DBT, and active Secret clearance.
Lead the design and implementation of a unified semantic layer and data models from complex enterprise systems (SAP, Salesforce, Workday) to create AI-ready datasets that power intelligent agents, analytics, and decision-making. Requires 10+ years data engineering experience, semantic modeling expertise, and hands-on AI-generated code deployment.
Build self-healing data ingestion pipelines and integration layers for enterprise systems (SAP, Salesforce, Workday) to deliver AI-ready data for autonomous agents and analytics. Requires 8+ years building production ETL/ELT pipelines with Python, SQL, and orchestration tools.
Senior engineer building and operating large-scale data acquisition pipelines and backend services for ingesting, transforming, and storing high-volume data using Java, Spark, Airflow, Kafka, and GCP tools. Requires 5+ years experience in data engineering and distributed systems plus a bachelor's degree.
Staff Software Engineer leading design and development of large-scale batch and real-time data pipelines and ML infrastructure to power GenAI/LLM products and features for Airbnb's Messaging, Notifications, and Connectivity organization. Requires 9+ years experience building production ML systems and cross-functional collaboration.
Build, optimize, and scale Ray Data, a Python-native data processing engine for AI/ML workloads. Improve performance, ensure fault tolerance at high scale, and support production training and multi-modal batch inference for AI-native companies.
Build and maintain the Science Platform that runs geo-based experiments, statistical estimation, and daily analysis pipelines for causal marketing measurement. Requires strong Python, data pipeline, and orchestration experience plus collaboration with applied scientists.
Field Engineer building and deploying data pipelines, integrations, and backend systems for government customers at customer sites. Requires active Secret clearance, Python, ETL, cloud technologies, and >50% onsite availability.
Data Operations Manager responsible for building and scaling data strategies, vendor partnerships, and high-quality data pipelines to advance frontier AI research in RLHF, safety, tool use, and agentic systems at Anthropic. Requires 3+ years operations/PM experience, strong project management, data analysis skills, and passion for AI safety.
Senior Data Engineer building and scaling Checkr's centralized People Data platform and large-scale batch/streaming pipelines that power identity and people records for all products. Requires 5+ years experience with Python, PySpark, SQL, Spark, Kafka and AWS data services; leads execution, mentors, and partners with cross-functional teams.
Build and own the dbt/Snowflake data infrastructure and transformation layer that powers WHOOP's financial planning, forecasting, and scenario modeling. Requires expert SQL, deep dbt experience, financial data modeling knowledge, and collaboration with FP&A.
Analytics Engineer II building and maintaining scalable dbt models in Snowflake to power company-wide analytics and reporting. Requires 2-4 years experience with strong SQL, dbt in production, Git, and data modeling skills.
Senior Data Engineer building scalable data pipelines, infrastructure, and architecture on AWS using Spark, Metaflow, and orchestration tools. Requires 5+ years data engineering experience with big data technologies; ML/healthcare background is a plus.
Integrations Associate responsible for implementing, maintaining, and optimizing eligibility and claims data feeds for Garner's healthcare platform. Requires analytical skills, familiarity with healthcare file formats (EDI 834/837), SFTP/PGP, and strong cross-functional communication. 0-5 years healthcare data experience.
Build and maintain integrations between ERP and financial systems (Workato/MuleSoft, APIs) while expanding into Claude-powered AI agents and data pipelines (Airflow, dbt, BigQuery) for a fast-growing AI company. Requires 8+ years in integration/data engineering, strong Python/JS skills, and ERP/finance domain knowledge.
Senior Software Engineer owning ClickHouse's Python connectors, SDKs, and integrations with orchestration (Airflow, Prefect), transformation (dbt), and AI/LLM tools (LangChain, LlamaIndex). Requires 7+ years experience as a Data Engineer/Scientist building production Python integrations for data and ML workflows.
Own end-to-end high-quality dataset creation pipelines for voice AI agents, from data synthesis and scraping to annotation workforce management, cleaning, analysis, and linguistic preference judgment. Requires 2+ years in computational linguistics or language data, strong scripting skills, and native English linguistic judgment.
Lead Data Engineer owning CrewAI's data foundation end-to-end: rationalize existing estate, build trusted metrics and pipelines, improve instrumentation, enable self-serve analytics, and drive product decisions in a fast-growing AI company. Requires strong data engineering, SQL, modeling, and product sense.
Build an end-to-end analytics and business intelligence Data Cloud platform at Rippling, replacing customer data lakes, warehouses, and pipelines with integrated ingestion, transformation, lineage, catalogs, and visualization. Develop large-scale data systems using Python, Trino, Iceberg and Temporal; explore ML/LLMs for automated insights.
Staff Data Engineer building and evolving Checkr's centralized people data platform and pipelines that power all AI verification products. Requires 10+ years experience with large-scale data platforms, PySpark, Python, SQL, Kafka, Spark, Iceberg and AWS services; will mentor juniors and own architecture.
Lead and develop a team of analytics engineers to design, build, and maintain scalable data models, ELT pipelines, and BI solutions using modern data stack tools. Requires 7+ years data experience including 2+ years managing teams, deep expertise in SQL, Python, Snowflake, dbt, and dimensional modeling.
Build and scale the core database infrastructure powering Claude at Anthropic, including data plane/control plane, data movement (CDC, migrations), and caching systems that support millions of users and frontier AI research across multi-cloud environments. Requires deep expertise in distributed databases and production storage systems.
Research Engineers at Distyl build data systems and pipelines that power reliable compound AI workflows in enterprise environments. They create data quality frameworks, synthetic data strategies, and evaluation tools while partnering with researchers and customers to turn raw data into production AI value.
Staff Software Engineer building and scaling Plaid's Data Infrastructure platform (warehouses, lakehouses, Spark, streaming, orchestration). Lead projects to improve ML workflows, data freshness, ETL pipelines; mentor engineers and reduce operational burden. Requires 6+ years software engineering with deep data infrastructure expertise.
Staff Software Engineer building and scaling Okta's high-volume, low-latency Data Platform for streaming analytics, ML, and telemetry using technologies like Kafka, Flink, and Snowflake. Requires 8+ years experience with distributed systems and Java; U.S. Person status required for FedRAMP.
Own end-to-end data migrations for government agencies switching to GovWell's AI platform. Clean messy legacy data (SQL/Python), lead customer calls with non-technical staff, ensure high-quality production data, and drive process improvements.
Build and operate a scalable logging and audit log platform at Cloudflare, developing high-performance data connectors, integrations, and pipelines for secure, low-latency delivery to customer destinations. Requires 3+ years in distributed systems and data pipelines, strong Go (preferred) and observability skills.
Build and optimize scalable distributed systems, high-throughput data delivery platforms, large-scale databases, and customer-facing APIs for Cloudflare's data organization. Requires 3+ years experience with distributed systems, databases, and strong programming skills (Golang preferred).
Build and scale Cloudflare's analytical database platform powered by ClickHouse. Develop platform components, add clusters, optimize performance, troubleshoot issues, and contribute to the open-source ClickHouse community. Requires 3+ years in distributed systems/databases, strong CS fundamentals, and programming skills (Golang/Python/C++ preferred).
Senior Data Science Engineer building and maintaining healthcare data infrastructure, models, and pipelines on the Spines team. Requires 4+ years Python/SQL experience, strong data architecture skills, and an entrepreneurial mindset for scalable analytics solutions.
Senior Data Engineer owning end-to-end data systems at Supabase, from ingestion and modeling in BigQuery/dbt to analysis in Hex. Requires 5+ years in production data pipelines, strong GCP/SQL skills, AI-first approach, and ability to partner directly with growth, finance, and product teams.
Staff Data Engineer building and modernizing scalable data pipelines, ETL infrastructure, and financial data warehouse for Reddit's Corporate Engineering team. Requires 7+ years experience with enterprise data integrations, AWS S3, SOX compliance, and financial systems.
Senior Data Engineer on the Risk or Compliance team building data models, pipelines, monitoring, and AI agents to support financial crimes detection, risk decisions, and ML datasets across Cash App, Square, and Afterpay. Requires 8+ years experience, strong SQL/Python/DBT skills, and full lifecycle data engineering expertise.
Software Engineer on the Datastore team building and scaling backend data infrastructure, event-driven pipelines, data models, and APIs for brain EEG data to support scientific and clinical analytics. Requires 5+ years backend experience with strong data engineering focus.
Senior Backend Engineer building and operating distributed data infrastructure for streaming, batch processing, analytical stores, and warehouse exports at scale. Requires 6+ years backend experience with data pipelines, distributed systems, and production ownership (on-call).
Lead data engineering and analytics engineering teams to design and own ETL/ELT pipelines, data modeling, quality, and governance. Requires 10+ years data engineering experience including 4+ years managing teams, deep expertise in SQL/Python/modern data stack, and partnering with DS/Product/Eng.
Build and own the modern data platform as the first dedicated data engineering hire, focusing on ingestion, Snowflake/dbT infrastructure, governance, observability, and AI/ML data foundations. Requires 5+ years building production data platforms with strong SQL, Snowflake, and dbt experience.
Staff Data Engineer owning end-to-end client data migrations at Machinify. Reverse-engineer legacy healthcare systems, architect and build Spark/Airflow pipelines, ensure data fidelity via automated reconciliation, and coordinate cross-functional teams from discovery through go-live. Requires 8+ years hands-on data engineering, strong Python/SQL/Spark/Airflow, and AI-assisted development experience.
Senior Software Engineer building scalable security data pipelines and streaming APIs at Stripe. Lead design of high-throughput event processing, security signal logic, and developer-friendly platforms; requires distributed systems and data engineering expertise.
Lead data operations for AI audio models at HappyRobot. Translate research needs into data specs, manage end-to-end acquisition/annotation with internal and vendor teams, optimize tooling/workflows, and scale labeling operations to deliver high-quality datasets on time.
Build and operate production data pipelines, observability tools, and planning systems to maximize utilization, efficiency, and attribution of Anthropic's large-scale multi-cloud accelerator and CPU fleet. Requires strong Python/SQL, cloud operations, and Kubernetes experience in a high-ambiguity environment.
Senior Analytics Engineer owning OnePay's dbt models, Databricks BI, data quality, and semantic layers on a fast-moving fintech team. Requires 5+ years production analytics engineering, expert SQL/dbt, Databricks experience, and daily AI coding tool usage.
Forward Deployed Data Engineer building hybrid data pipelines and semantic layers for Hilbert's AI Growth Engine. Implements warehouse-native or managed ClickHouse integrations, partners with AI agents for accelerated onboarding, and ensures reasoning consistency across customer environments.
Senior Platform Engineer designing, building, and scaling database infrastructure for production and AI systems, including relational, analytical, and vector stores. Requires 7+ years experience with distributed systems, high-availability databases, and supporting AI workloads like vector search and RAG.
Senior Data Engineer responsible for designing and deploying scalable data infrastructure, orchestration models, and analytics tooling to enable data-driven decisions, ML products, and enterprise reporting at Vanta. Requires 4+ years data experience, software engineering mindset, modern data stack proficiency, and passion for secure, compliant data systems.
Senior Data Engineer building scalable data pipelines, services, and AI-ready data layers in Go/Scala/ClickHouse to power internal products, analytics, and agentic AI for go-to-market, engineering, and product teams. Requires 5+ years experience in production data systems, strong programming, SQL, and databases.
Senior Data Engineer responsible for building scalable ingestion pipelines, normalizing, and maintaining large-scale financial and alternative datasets from global vendors to support quantitative research and alpha generation. Requires 5+ years data engineering experience in finance/quant environments, strong Python/SQL/Linux skills, and deep knowledge of market/tick/reference data across asset classes.
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Software Engineer building scalable data infrastructure, cataloging, versioning, and lineage tools to support ML research and production workflows at an AI-driven hedge fund. Requires 3+ years experience, strong software design skills, and expertise in a modern language like Python or Java.
Manage end-to-end file-based data integrations, ingestion, transformation, and maintenance for eligibility, marketing, and reporting. Own data integrity, resolve issues, automate workflows with AI, and partner cross-functionally with Customer Success, Engineering, and Revenue Operations teams.
Build and operate realtime and batch data pipelines processing billions of events daily at xAI. Design distributed data platforms, own data correctness, create shared datasets for product and business teams, and partner on data acquisition using tools like Spark, Kafka, Flink, and SQL.
Build analytical and BI infrastructure for Scale's Public Sector unit. Develop scalable data pipelines, models, warehouses, and quality tests from ambiguous processes to enable decision-making; requires 5+ years experience, SQL mastery, Python/R, DBT, and active Secret clearance.
Lead the design and implementation of a unified semantic layer and data models from complex enterprise systems (SAP, Salesforce, Workday) to create AI-ready datasets that power intelligent agents, analytics, and decision-making. Requires 10+ years data engineering experience, semantic modeling expertise, and hands-on AI-generated code deployment.
Build self-healing data ingestion pipelines and integration layers for enterprise systems (SAP, Salesforce, Workday) to deliver AI-ready data for autonomous agents and analytics. Requires 8+ years building production ETL/ELT pipelines with Python, SQL, and orchestration tools.
Senior engineer building and operating large-scale data acquisition pipelines and backend services for ingesting, transforming, and storing high-volume data using Java, Spark, Airflow, Kafka, and GCP tools. Requires 5+ years experience in data engineering and distributed systems plus a bachelor's degree.
Staff Software Engineer leading design and development of large-scale batch and real-time data pipelines and ML infrastructure to power GenAI/LLM products and features for Airbnb's Messaging, Notifications, and Connectivity organization. Requires 9+ years experience building production ML systems and cross-functional collaboration.
Build, optimize, and scale Ray Data, a Python-native data processing engine for AI/ML workloads. Improve performance, ensure fault tolerance at high scale, and support production training and multi-modal batch inference for AI-native companies.
Build and maintain the Science Platform that runs geo-based experiments, statistical estimation, and daily analysis pipelines for causal marketing measurement. Requires strong Python, data pipeline, and orchestration experience plus collaboration with applied scientists.
Field Engineer building and deploying data pipelines, integrations, and backend systems for government customers at customer sites. Requires active Secret clearance, Python, ETL, cloud technologies, and >50% onsite availability.
Data Operations Manager responsible for building and scaling data strategies, vendor partnerships, and high-quality data pipelines to advance frontier AI research in RLHF, safety, tool use, and agentic systems at Anthropic. Requires 3+ years operations/PM experience, strong project management, data analysis skills, and passion for AI safety.
Senior Data Engineer building and scaling Checkr's centralized People Data platform and large-scale batch/streaming pipelines that power identity and people records for all products. Requires 5+ years experience with Python, PySpark, SQL, Spark, Kafka and AWS data services; leads execution, mentors, and partners with cross-functional teams.
Build and own the dbt/Snowflake data infrastructure and transformation layer that powers WHOOP's financial planning, forecasting, and scenario modeling. Requires expert SQL, deep dbt experience, financial data modeling knowledge, and collaboration with FP&A.
Analytics Engineer II building and maintaining scalable dbt models in Snowflake to power company-wide analytics and reporting. Requires 2-4 years experience with strong SQL, dbt in production, Git, and data modeling skills.
Senior Data Engineer building scalable data pipelines, infrastructure, and architecture on AWS using Spark, Metaflow, and orchestration tools. Requires 5+ years data engineering experience with big data technologies; ML/healthcare background is a plus.
Integrations Associate responsible for implementing, maintaining, and optimizing eligibility and claims data feeds for Garner's healthcare platform. Requires analytical skills, familiarity with healthcare file formats (EDI 834/837), SFTP/PGP, and strong cross-functional communication. 0-5 years healthcare data experience.
Build and maintain integrations between ERP and financial systems (Workato/MuleSoft, APIs) while expanding into Claude-powered AI agents and data pipelines (Airflow, dbt, BigQuery) for a fast-growing AI company. Requires 8+ years in integration/data engineering, strong Python/JS skills, and ERP/finance domain knowledge.
Senior Software Engineer owning ClickHouse's Python connectors, SDKs, and integrations with orchestration (Airflow, Prefect), transformation (dbt), and AI/LLM tools (LangChain, LlamaIndex). Requires 7+ years experience as a Data Engineer/Scientist building production Python integrations for data and ML workflows.
Own end-to-end high-quality dataset creation pipelines for voice AI agents, from data synthesis and scraping to annotation workforce management, cleaning, analysis, and linguistic preference judgment. Requires 2+ years in computational linguistics or language data, strong scripting skills, and native English linguistic judgment.
Lead Data Engineer owning CrewAI's data foundation end-to-end: rationalize existing estate, build trusted metrics and pipelines, improve instrumentation, enable self-serve analytics, and drive product decisions in a fast-growing AI company. Requires strong data engineering, SQL, modeling, and product sense.
Build an end-to-end analytics and business intelligence Data Cloud platform at Rippling, replacing customer data lakes, warehouses, and pipelines with integrated ingestion, transformation, lineage, catalogs, and visualization. Develop large-scale data systems using Python, Trino, Iceberg and Temporal; explore ML/LLMs for automated insights.
Staff Data Engineer building and evolving Checkr's centralized people data platform and pipelines that power all AI verification products. Requires 10+ years experience with large-scale data platforms, PySpark, Python, SQL, Kafka, Spark, Iceberg and AWS services; will mentor juniors and own architecture.
Lead and develop a team of analytics engineers to design, build, and maintain scalable data models, ELT pipelines, and BI solutions using modern data stack tools. Requires 7+ years data experience including 2+ years managing teams, deep expertise in SQL, Python, Snowflake, dbt, and dimensional modeling.
Build and scale the core database infrastructure powering Claude at Anthropic, including data plane/control plane, data movement (CDC, migrations), and caching systems that support millions of users and frontier AI research across multi-cloud environments. Requires deep expertise in distributed databases and production storage systems.
Research Engineers at Distyl build data systems and pipelines that power reliable compound AI workflows in enterprise environments. They create data quality frameworks, synthetic data strategies, and evaluation tools while partnering with researchers and customers to turn raw data into production AI value.
Staff Software Engineer building and scaling Plaid's Data Infrastructure platform (warehouses, lakehouses, Spark, streaming, orchestration). Lead projects to improve ML workflows, data freshness, ETL pipelines; mentor engineers and reduce operational burden. Requires 6+ years software engineering with deep data infrastructure expertise.
Staff Software Engineer building and scaling Okta's high-volume, low-latency Data Platform for streaming analytics, ML, and telemetry using technologies like Kafka, Flink, and Snowflake. Requires 8+ years experience with distributed systems and Java; U.S. Person status required for FedRAMP.
Own end-to-end data migrations for government agencies switching to GovWell's AI platform. Clean messy legacy data (SQL/Python), lead customer calls with non-technical staff, ensure high-quality production data, and drive process improvements.
Build and operate a scalable logging and audit log platform at Cloudflare, developing high-performance data connectors, integrations, and pipelines for secure, low-latency delivery to customer destinations. Requires 3+ years in distributed systems and data pipelines, strong Go (preferred) and observability skills.
Build and optimize scalable distributed systems, high-throughput data delivery platforms, large-scale databases, and customer-facing APIs for Cloudflare's data organization. Requires 3+ years experience with distributed systems, databases, and strong programming skills (Golang preferred).
Build and scale Cloudflare's analytical database platform powered by ClickHouse. Develop platform components, add clusters, optimize performance, troubleshoot issues, and contribute to the open-source ClickHouse community. Requires 3+ years in distributed systems/databases, strong CS fundamentals, and programming skills (Golang/Python/C++ preferred).
Senior Data Science Engineer building and maintaining healthcare data infrastructure, models, and pipelines on the Spines team. Requires 4+ years Python/SQL experience, strong data architecture skills, and an entrepreneurial mindset for scalable analytics solutions.
Senior Data Engineer owning end-to-end data systems at Supabase, from ingestion and modeling in BigQuery/dbt to analysis in Hex. Requires 5+ years in production data pipelines, strong GCP/SQL skills, AI-first approach, and ability to partner directly with growth, finance, and product teams.
Staff Data Engineer building and modernizing scalable data pipelines, ETL infrastructure, and financial data warehouse for Reddit's Corporate Engineering team. Requires 7+ years experience with enterprise data integrations, AWS S3, SOX compliance, and financial systems.
Senior Data Engineer on the Risk or Compliance team building data models, pipelines, monitoring, and AI agents to support financial crimes detection, risk decisions, and ML datasets across Cash App, Square, and Afterpay. Requires 8+ years experience, strong SQL/Python/DBT skills, and full lifecycle data engineering expertise.
Software Engineer on the Datastore team building and scaling backend data infrastructure, event-driven pipelines, data models, and APIs for brain EEG data to support scientific and clinical analytics. Requires 5+ years backend experience with strong data engineering focus.
Senior Backend Engineer building and operating distributed data infrastructure for streaming, batch processing, analytical stores, and warehouse exports at scale. Requires 6+ years backend experience with data pipelines, distributed systems, and production ownership (on-call).
Lead data engineering and analytics engineering teams to design and own ETL/ELT pipelines, data modeling, quality, and governance. Requires 10+ years data engineering experience including 4+ years managing teams, deep expertise in SQL/Python/modern data stack, and partnering with DS/Product/Eng.
Build and own the modern data platform as the first dedicated data engineering hire, focusing on ingestion, Snowflake/dbT infrastructure, governance, observability, and AI/ML data foundations. Requires 5+ years building production data platforms with strong SQL, Snowflake, and dbt experience.
Staff Data Engineer owning end-to-end client data migrations at Machinify. Reverse-engineer legacy healthcare systems, architect and build Spark/Airflow pipelines, ensure data fidelity via automated reconciliation, and coordinate cross-functional teams from discovery through go-live. Requires 8+ years hands-on data engineering, strong Python/SQL/Spark/Airflow, and AI-assisted development experience.
Senior Software Engineer building scalable security data pipelines and streaming APIs at Stripe. Lead design of high-throughput event processing, security signal logic, and developer-friendly platforms; requires distributed systems and data engineering expertise.