Builds and owns dbt models, predictive frameworks (LTV, lead scoring, attribution), and self-serve analytics tools for Marketing at a fintech SaaS company. Partners with leadership on experiments, spend optimization, and AI-powered experiences. Requires 4+ years experience, advanced SQL/Python, cloud warehouses.
Build dimensional models, data marts, and transformation pipelines in dbt, Airflow, and BigQuery. Partner with analysts, scientists, and engineers to deliver analytics infrastructure and Looker dashboards.
Builds automation, tools, and frameworks for data governance, quality, and compliance using Python and Terraform. Partners with engineering teams to implement trust signals, scorecards, and AI-enhanced workflows for reliable data at scale. Requires 5+ years experience.
Senior Data Engineer building scalable pipelines to transform EHR and claims data into analytics-ready assets while conducting hands-on real-world evidence analyses. Requires 5+ years experience with 2+ years in healthcare data, strong SQL/Python, Snowflake/dbt/Dagster, and familiarity with OMOP and causal inference frameworks.
Builds and scales data pipelines, transformations, and infrastructure powering real-time AI agents. Handles ingestion from CRM, transcripts, and signals into agent-ready data, ensuring freshness, reliability, and low-latency at scale for millions of accounts. Requires 5+ years in data systems.
Builds and scales data pipelines and infrastructure powering real-time AI agents, handling ingestion from CRM, transcripts, and signals into clean representations. Requires 5+ years in data systems, proficiency in Python/SQL/DBT/warehouse tech, and real-time streaming experience.
Develops large-scale HD mapping datasets, data pipelines, and benchmarking tools for autonomous driving ML models. Collaborates with ML and cross-functional teams on data curation and performance improvements. Requires 3+ years experience with Python, TypeScript, React.
Designs and leads unified data architecture integrating vendor datasets for quantitative research, simulation, and alpha generation across asset classes. Requires 7+ years experience in data engineering, Python proficiency, and financial data modeling expertise.
Build and maintain production data pipelines for AI model training, ensuring high-quality data through cleaning, transformation, and evaluation. Requires 1+ years experience with Python, ML, and neural networks; bachelor's in STEM.
Designs, builds, and maintains scalable data models using dbt and SQL for business reporting and metrics. Collaborates with stakeholders, ensures data quality, and optimizes ETL processes. Requires 4+ years experience with expert SQL/dbt/Python skills.
Builds and scales ETL pipelines, designs data schemas, and owns data quality/governance for 10x growth. Requires 5+ years in data pipelines with SQL, Spark, Airflow, Python, and MPP databases like Snowflake/Redshift.
Develop graph-based algorithms, entity-resolution systems, and data pipelines on massive PII datasets to power KYC and compliance products. Requires Master's/PhD with 2+ years experience, Python/SQL proficiency, Spark, and ML libraries.
Leads development and scaling of ML indexing and retrieval infrastructure for Reddit's recommendation systems, integrating lexical/vector search and GenAI. Requires 10+ years in software engineering with 3+ in technical leadership, expertise in distributed systems, stream processing, and cloud-native architectures.
Builds and scales data infrastructure across the full lifecycle (collection, ingestion, storage, querying) using open-source technologies like Spark and Kafka. Supports cloud, hybrid, and on-prem deployments while collaborating across business units. Requires 3+ years experience and Bachelor's degree.
Builds large-scale data processing pipelines and ML infrastructure to automate data curation, model training, and iteration for autonomous vehicles using real-world and simulation data. Requires 3-5 years experience in data/ML infra, Python, and frameworks like Spark/Airflow/Kafka.
Lead the development and maintenance of scalable data pipelines, warehouse, and transformation layer using modern data stack. Collaborate with data scientists and analysts to ensure clean, reliable data for insights in a high-growth startup.
Builds and maintains backend services and REST APIs serving data from Snowflake and other sources to internal teams, primarily in Python. Supports data pipelines using Airflow, Airbyte, and dbt, partnering with Analytics Engineering.
Builds and optimizes big data pipelines processing billions of signals for technographic data services. Requires 5+ years experience with Spark, Hadoop, Java/Scala, and distributed systems; collaborates with data scientists on ML integration.
Builds and scales petabyte-scale data ingestion pipelines for observability platform using Go/C++ on AWS/Azure. Requires 5+ years in distributed systems, strong systems programming, and cloud experience.
Builds scalable financial data infrastructure and AI-powered automation for finance operations, integrating tools like dbt, Snowflake, and agentic workflows to replace manual processes. Requires 3+ years in finance ops/data engineering, SQL/Python proficiency, and finance domain expertise.
Build and maintain scalable data pipelines, analyze large datasets, and develop models/tools to drive product decisions for a code review platform. Requires 4+ years data engineering experience, strong SQL, cloud data services, and visualization tools.
Staff engineer leading Data Platform initiatives like scaling, stream processing, and GRC at massive scale. Requires 7+ years experience in distributed systems and data infrastructure, with strong architectural leadership and cross-functional influence.
Builds backend services and REST APIs serving data from Snowflake and other sources to internal teams, while supporting data pipelines with Airflow, Airbyte, and dbt. Requires strong Python, SQL, API design experience; preferred fintech background.
Builds and scales data infrastructure including cataloging, versioning, and lineage to support research and production workflows. Collaborates with engineers and researchers, provides technical guidance, and mentors teammates requiring 5+ years experience in software engineering and data technologies.
Builds scalable data ingestion pipelines, processing systems, and tooling to support AI/ML research and trading operations at a quantitative finance firm. Requires 5+ years experience in robust software engineering with modern languages and data infrastructure expertise.
Develops scalable data infrastructure, real-time processing systems, and observability tools for post-trade financial systems supporting AI/ML-driven trading. Requires 5+ years experience with Python, data engineering, and cross-functional leadership in high-stakes production environments.
Builds and maintains scalable data pipelines, ETL/ELT processes, and workflows using Airflow, Spark, Trino, and AWS services to support analytics and product innovation. Requires 5+ years experience in data engineering with Python proficiency.
Staff Data Engineer architects and delivers scalable data products from healthcare datasets, designs high-performance processing systems using SQL, Spark, Python, and AI workflows, and leads cross-functional initiatives for reliable data serving to customers and applications.
Designs and owns canonical data foundations, ingestion pipelines, and AI-ready schemas for financial AI systems in wealth management. Requires 5+ years data platform experience, SQL/Python expertise, custodial data knowledge, and AWS proficiency.
Builds, optimizes, and maintains scalable data pipelines using Python, SQL, and modern data stack in AWS to support BI, marketing, and data science. Requires 2+ years experience, expertise in data modeling and orchestration tools like Airflow and Snowflake.
Builds, optimizes, and maintains scalable data pipelines using Python, SQL, and AWS tools for healthcare data insights. Requires 4+ years experience, expertise in data modeling, orchestration with Airflow, and familiarity with HIPAA.
Builds scalable data pipelines and privacy-first architecture for People Analytics using HRIS data like Workday to support hiring, performance, compensation decisions, and AI workflows. Requires 6+ years experience, SQL/Python proficiency, and modern data tools expertise.
Builds semantic layers with dbt/SQL, agent tooling for autonomous data querying across Athena/Salesforce, and infrastructure for AI-driven insights on usage-based SaaS metrics. Requires 5+ years in data/AI engineering, SQL/Python mastery, and RAG/agentic systems experience.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems at component, system, mission, and campaign levels to evaluate effectiveness and survivability. Collaborates with engineering and DoD stakeholders; requires 9+ years experience and active Secret clearance.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems to evaluate performance, survivability, and mission impact in military scenarios. Requires 7+ years in defense/aerospace analysis, Bachelor's in STEM, and US security clearance.
Senior Software Engineer on the Data Platform team owns data infrastructure, builds scalable ETL/ELT pipelines, optimizes storage, and collaborates with product and data science teams. Requires 5+ years experience in data engineering with Python/Golang, Spark, AWS, and Kubernetes.
Builds and maintains data connectors, pipelines, and normalization services to acquire and validate identity attributes from various sources for the Identity Trust Graph. Requires 4+ years in OOP languages, containerized cloud systems like GCP/Kubernetes, and data integration experience.
Staff Data Engineer owns and evolves data platforms including warehouse architecture, pipelines, and modeling to enable scalable analytics and self-service insights. Requires 7+ years experience, advanced SQL/Python, and expertise with managed data warehouses like Snowflake.
Develops quantitative tools and scalable Python pipelines for credit, market, and liquidity risk analysis at a digital asset firm. Requires 8+ years in quantitative finance, advanced degree, and expertise in stress testing and real-time risk monitoring.
Builds measurement, evaluation, and feedback infrastructure for AI agent quality. Designs datasets, pipelines, dashboards, and analysis tools to improve agent reliability, partnering with research and product teams. Requires strong data acumen and software engineering skills.
Senior Data Engineer builds and scales high-throughput streaming pipelines for real estate data using Spark, Kafka, and Airflow on AWS. Requires 6+ years experience, strong Python skills, and daily AI integration in workflows.
Senior Data Engineer builds and manages data pipelines, transforms telemetry into reliable datasets, ensures data quality, and evolves the platform on GCP. Requires 4+ years experience, SQL/Python proficiency, strong data modeling, and software engineering fundamentals.
Senior Data Engineer builds and manages data pipelines, transforms telemetry into reliable datasets, ensures data quality and governance on GCP. Requires 4+ years experience, SQL/Python proficiency, strong modeling skills.
Leads architecture and strategy for data warehouse, analytics tools, and governance at massive scale. Requires 12+ years experience with data platforms like Spark/Trino and AI tools for productivity.
Builds and maintains enterprise DataOps platform using Kubernetes, cloud services, and data processing tools. Requires 7+ years experience, strong coding skills, and expertise in containerization, GCP/AWS/Azure, Kafka, and Airflow.
Staff engineer owns architecture and delivery of open lakehouse foundation, data governance, and multi-engine compute strategy at Instacart. Requires 5+ years in data infrastructure with expertise in Iceberg, Trino, Spark, Kafka, and streaming systems.
Builds and optimizes big data pipelines processing billions of signals for technographic data services, designs scalable architectures, and collaborates with data scientists on ML integration. Requires 8+ years experience with Hadoop, Spark, Java/Scala, and large-scale distributed systems.
Owns data warehouse transformation layer using dbt and Airflow, builds dimensional models for company-wide analytics, and partners with stakeholders to deliver trusted metrics on billing, usage, and operations.
Builds and scales distributed data infrastructure powering analytics, AI/ML, and BI at Figma. Requires 5+ years backend experience with batch/streaming tech like Spark, Kafka, and expertise in Snowflake, Golang/Python.
Builds and enhances data platforms for billing, revenue workflows, and OTC operations in a SaaS AI infrastructure company. Requires 5+ years in billing engineering, strong SQL/BigQuery skills, and experience with ERP, payments, and cloud marketplaces.
Builds and owns dbt models, predictive frameworks (LTV, lead scoring, attribution), and self-serve analytics tools for Marketing at a fintech SaaS company. Partners with leadership on experiments, spend optimization, and AI-powered experiences. Requires 4+ years experience, advanced SQL/Python, cloud warehouses.
Build dimensional models, data marts, and transformation pipelines in dbt, Airflow, and BigQuery. Partner with analysts, scientists, and engineers to deliver analytics infrastructure and Looker dashboards.
Builds automation, tools, and frameworks for data governance, quality, and compliance using Python and Terraform. Partners with engineering teams to implement trust signals, scorecards, and AI-enhanced workflows for reliable data at scale. Requires 5+ years experience.
Senior Data Engineer building scalable pipelines to transform EHR and claims data into analytics-ready assets while conducting hands-on real-world evidence analyses. Requires 5+ years experience with 2+ years in healthcare data, strong SQL/Python, Snowflake/dbt/Dagster, and familiarity with OMOP and causal inference frameworks.
Builds and scales data pipelines, transformations, and infrastructure powering real-time AI agents. Handles ingestion from CRM, transcripts, and signals into agent-ready data, ensuring freshness, reliability, and low-latency at scale for millions of accounts. Requires 5+ years in data systems.
Builds and scales data pipelines and infrastructure powering real-time AI agents, handling ingestion from CRM, transcripts, and signals into clean representations. Requires 5+ years in data systems, proficiency in Python/SQL/DBT/warehouse tech, and real-time streaming experience.
Develops large-scale HD mapping datasets, data pipelines, and benchmarking tools for autonomous driving ML models. Collaborates with ML and cross-functional teams on data curation and performance improvements. Requires 3+ years experience with Python, TypeScript, React.
Designs and leads unified data architecture integrating vendor datasets for quantitative research, simulation, and alpha generation across asset classes. Requires 7+ years experience in data engineering, Python proficiency, and financial data modeling expertise.
Build and maintain production data pipelines for AI model training, ensuring high-quality data through cleaning, transformation, and evaluation. Requires 1+ years experience with Python, ML, and neural networks; bachelor's in STEM.
Designs, builds, and maintains scalable data models using dbt and SQL for business reporting and metrics. Collaborates with stakeholders, ensures data quality, and optimizes ETL processes. Requires 4+ years experience with expert SQL/dbt/Python skills.
Builds and scales ETL pipelines, designs data schemas, and owns data quality/governance for 10x growth. Requires 5+ years in data pipelines with SQL, Spark, Airflow, Python, and MPP databases like Snowflake/Redshift.
Develop graph-based algorithms, entity-resolution systems, and data pipelines on massive PII datasets to power KYC and compliance products. Requires Master's/PhD with 2+ years experience, Python/SQL proficiency, Spark, and ML libraries.
Leads development and scaling of ML indexing and retrieval infrastructure for Reddit's recommendation systems, integrating lexical/vector search and GenAI. Requires 10+ years in software engineering with 3+ in technical leadership, expertise in distributed systems, stream processing, and cloud-native architectures.
Builds and scales data infrastructure across the full lifecycle (collection, ingestion, storage, querying) using open-source technologies like Spark and Kafka. Supports cloud, hybrid, and on-prem deployments while collaborating across business units. Requires 3+ years experience and Bachelor's degree.
Builds large-scale data processing pipelines and ML infrastructure to automate data curation, model training, and iteration for autonomous vehicles using real-world and simulation data. Requires 3-5 years experience in data/ML infra, Python, and frameworks like Spark/Airflow/Kafka.
Lead the development and maintenance of scalable data pipelines, warehouse, and transformation layer using modern data stack. Collaborate with data scientists and analysts to ensure clean, reliable data for insights in a high-growth startup.
Builds and maintains backend services and REST APIs serving data from Snowflake and other sources to internal teams, primarily in Python. Supports data pipelines using Airflow, Airbyte, and dbt, partnering with Analytics Engineering.
Builds and optimizes big data pipelines processing billions of signals for technographic data services. Requires 5+ years experience with Spark, Hadoop, Java/Scala, and distributed systems; collaborates with data scientists on ML integration.
Builds and scales petabyte-scale data ingestion pipelines for observability platform using Go/C++ on AWS/Azure. Requires 5+ years in distributed systems, strong systems programming, and cloud experience.
Builds scalable financial data infrastructure and AI-powered automation for finance operations, integrating tools like dbt, Snowflake, and agentic workflows to replace manual processes. Requires 3+ years in finance ops/data engineering, SQL/Python proficiency, and finance domain expertise.
Build and maintain scalable data pipelines, analyze large datasets, and develop models/tools to drive product decisions for a code review platform. Requires 4+ years data engineering experience, strong SQL, cloud data services, and visualization tools.
Staff engineer leading Data Platform initiatives like scaling, stream processing, and GRC at massive scale. Requires 7+ years experience in distributed systems and data infrastructure, with strong architectural leadership and cross-functional influence.
Builds backend services and REST APIs serving data from Snowflake and other sources to internal teams, while supporting data pipelines with Airflow, Airbyte, and dbt. Requires strong Python, SQL, API design experience; preferred fintech background.
Builds and scales data infrastructure including cataloging, versioning, and lineage to support research and production workflows. Collaborates with engineers and researchers, provides technical guidance, and mentors teammates requiring 5+ years experience in software engineering and data technologies.
Builds scalable data ingestion pipelines, processing systems, and tooling to support AI/ML research and trading operations at a quantitative finance firm. Requires 5+ years experience in robust software engineering with modern languages and data infrastructure expertise.
Develops scalable data infrastructure, real-time processing systems, and observability tools for post-trade financial systems supporting AI/ML-driven trading. Requires 5+ years experience with Python, data engineering, and cross-functional leadership in high-stakes production environments.
Builds and maintains scalable data pipelines, ETL/ELT processes, and workflows using Airflow, Spark, Trino, and AWS services to support analytics and product innovation. Requires 5+ years experience in data engineering with Python proficiency.
Staff Data Engineer architects and delivers scalable data products from healthcare datasets, designs high-performance processing systems using SQL, Spark, Python, and AI workflows, and leads cross-functional initiatives for reliable data serving to customers and applications.
Designs and owns canonical data foundations, ingestion pipelines, and AI-ready schemas for financial AI systems in wealth management. Requires 5+ years data platform experience, SQL/Python expertise, custodial data knowledge, and AWS proficiency.
Builds, optimizes, and maintains scalable data pipelines using Python, SQL, and modern data stack in AWS to support BI, marketing, and data science. Requires 2+ years experience, expertise in data modeling and orchestration tools like Airflow and Snowflake.
Builds, optimizes, and maintains scalable data pipelines using Python, SQL, and AWS tools for healthcare data insights. Requires 4+ years experience, expertise in data modeling, orchestration with Airflow, and familiarity with HIPAA.
Builds scalable data pipelines and privacy-first architecture for People Analytics using HRIS data like Workday to support hiring, performance, compensation decisions, and AI workflows. Requires 6+ years experience, SQL/Python proficiency, and modern data tools expertise.
Builds semantic layers with dbt/SQL, agent tooling for autonomous data querying across Athena/Salesforce, and infrastructure for AI-driven insights on usage-based SaaS metrics. Requires 5+ years in data/AI engineering, SQL/Python mastery, and RAG/agentic systems experience.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems at component, system, mission, and campaign levels to evaluate effectiveness and survivability. Collaborates with engineering and DoD stakeholders; requires 9+ years experience and active Secret clearance.
Performs modeling, simulation, and operational analysis of AI-powered autonomous aircraft systems to evaluate performance, survivability, and mission impact in military scenarios. Requires 7+ years in defense/aerospace analysis, Bachelor's in STEM, and US security clearance.
Senior Software Engineer on the Data Platform team owns data infrastructure, builds scalable ETL/ELT pipelines, optimizes storage, and collaborates with product and data science teams. Requires 5+ years experience in data engineering with Python/Golang, Spark, AWS, and Kubernetes.
Builds and maintains data connectors, pipelines, and normalization services to acquire and validate identity attributes from various sources for the Identity Trust Graph. Requires 4+ years in OOP languages, containerized cloud systems like GCP/Kubernetes, and data integration experience.
Staff Data Engineer owns and evolves data platforms including warehouse architecture, pipelines, and modeling to enable scalable analytics and self-service insights. Requires 7+ years experience, advanced SQL/Python, and expertise with managed data warehouses like Snowflake.
Develops quantitative tools and scalable Python pipelines for credit, market, and liquidity risk analysis at a digital asset firm. Requires 8+ years in quantitative finance, advanced degree, and expertise in stress testing and real-time risk monitoring.
Builds measurement, evaluation, and feedback infrastructure for AI agent quality. Designs datasets, pipelines, dashboards, and analysis tools to improve agent reliability, partnering with research and product teams. Requires strong data acumen and software engineering skills.
Senior Data Engineer builds and scales high-throughput streaming pipelines for real estate data using Spark, Kafka, and Airflow on AWS. Requires 6+ years experience, strong Python skills, and daily AI integration in workflows.
Senior Data Engineer builds and manages data pipelines, transforms telemetry into reliable datasets, ensures data quality, and evolves the platform on GCP. Requires 4+ years experience, SQL/Python proficiency, strong data modeling, and software engineering fundamentals.
Senior Data Engineer builds and manages data pipelines, transforms telemetry into reliable datasets, ensures data quality and governance on GCP. Requires 4+ years experience, SQL/Python proficiency, strong modeling skills.
Leads architecture and strategy for data warehouse, analytics tools, and governance at massive scale. Requires 12+ years experience with data platforms like Spark/Trino and AI tools for productivity.
Builds and maintains enterprise DataOps platform using Kubernetes, cloud services, and data processing tools. Requires 7+ years experience, strong coding skills, and expertise in containerization, GCP/AWS/Azure, Kafka, and Airflow.
Staff engineer owns architecture and delivery of open lakehouse foundation, data governance, and multi-engine compute strategy at Instacart. Requires 5+ years in data infrastructure with expertise in Iceberg, Trino, Spark, Kafka, and streaming systems.
Builds and optimizes big data pipelines processing billions of signals for technographic data services, designs scalable architectures, and collaborates with data scientists on ML integration. Requires 8+ years experience with Hadoop, Spark, Java/Scala, and large-scale distributed systems.
Owns data warehouse transformation layer using dbt and Airflow, builds dimensional models for company-wide analytics, and partners with stakeholders to deliver trusted metrics on billing, usage, and operations.
Builds and scales distributed data infrastructure powering analytics, AI/ML, and BI at Figma. Requires 5+ years backend experience with batch/streaming tech like Spark, Kafka, and expertise in Snowflake, Golang/Python.
Builds and enhances data platforms for billing, revenue workflows, and OTC operations in a SaaS AI infrastructure company. Requires 5+ years in billing engineering, strong SQL/BigQuery skills, and experience with ERP, payments, and cloud marketplaces.