Senior Data Engineer building scalable batch and real-time data pipelines, feature stores, and low-latency serving systems to power Fetch's recommendation and audience targeting ML models. Requires 6+ years experience with Spark, Kafka, Flink, cloud infrastructure, and close collaboration with ML and backend teams.
Senior Data Engineer owning architecture and technical vision for ClickUp's data platform. Build scalable pipelines on AWS serverless, Snowflake, and dbt; design AI/ML infrastructure; drive cost optimization, standards, and mentor engineers. Requires deep expertise in cloud data systems and large-scale distributed architectures.
Senior Data Platform Engineer owning end-to-end data infrastructure, pipelines from Aleo blockchain indexers, and APIs serving mobile wallets and explorer on GCP. 60/40 split between data engineering and backend API development; requires 6+ years experience with Node.js/TypeScript, Python, SQL, Postgres, BigQuery, Terraform, and Kubernetes.
Senior individual contributor building and leading Jellyfish's Databricks Lakehouse platform to power enterprise analytics, BI, agentic AI workflows, and data science. Requires deep data platform engineering experience, strong Databricks expertise, Python/SQL skills, and ability to deliver governed, production-grade data foundations for AI.
Software Engineer on the Storage team owning the data layer (databases, caches, scaling strategies) that underpins all Cursor products. Design multi-database architectures, build query guardrails, define storage best practices, and own cache infrastructure for reliability and growth.
Founding Data Engineer to architect Payabli's data platform from scratch: design lakehouse/warehouse, build pipelines, model financial data, and establish governance for a regulated fintech environment.
Create advanced SQL/Spark SQL queries and prompt-engineered LLM workflows to transform healthcare claims data into clinical insights and automated policy tools. Requires 3-5 years SQL plus 2-3 years healthcare experience.
Senior engineer building performant user-facing data products from internal datasets using Python, Databricks, and Postgres while collaborating with platform teams.
Design and build scalable big data systems and ETL pipelines using Spark, Kafka, Hive and related technologies. Requires strong data modeling, SQL, and experience with AI coding assistants.
Build and maintain data models, pipelines, and dashboards that power customer experience and compliance operations. Partner with CX and compliance teams to deliver trusted, self-serve analytics.
Senior Research Data Engineer owns the gold data layer between Lakehouse silver data and AI model development. Reverse-engineers complex clinical/operational data semantics, builds reusable curated datasets/pipelines in Databricks for ML/generative AI needs, automates quality/synthesis, and ensures versioned, documented assets accelerate R&D. Requires 5+ years production data systems experience supporting AI workloads, advanced Python/SQL/PySpark, and AI domain knowledge.
Build and maintain scalable data pipelines and platforms that enable AI applications to securely access trusted data. Partner with analytics, marketing, and product teams to deliver production-grade data systems.
Principal-level engineer to define and lead Snowflake's core data engineering and streaming primitives (Streams, Tasks, Dynamic Tables) at cloud scale. Requires 15+ years building large-scale distributed data systems and deep expertise in stream processing or data transformation.
Build and maintain ingestion pipelines that convert large-scale geospatial sensor data (LiDAR, imagery) into standardized formats for ML training and product use. Requires strong Python skills, comfort with undocumented formats, and distributed systems experience.
Build and maintain production data models and pipelines for Coinbase's Compliance Data Mart, ensuring regulatory-grade data quality and supporting audits and exams.
Design and maintain scalable data pipelines and lake architecture on GCP/AWS to power analytics, trading tools, and ML initiatives. Requires 5+ years experience, strong SQL/Python, dbt, orchestration tools, and cloud infrastructure experience.
Design, build, and maintain data pipelines for biomedical and clinical research datasets. Work with scientists and researchers to deliver accessible, well-governed data products using Python, SQL, and ETL/ELT processes.
Build and maintain production data pipelines that prepare conversational, voice, and multimodal data for ML model training and evaluation. Partner closely with ML engineers to deliver high-quality, versioned datasets and infrastructure.
Senior engineer building and operating Brex’s data platform and infrastructure, partnering with product and analytics teams to deliver data-backed products. Requires 5+ years in data infra/platform roles and experience with modern data stack tools.
Senior engineer building and operating Brex’s data platform and infrastructure, partnering with product and analytics teams to deliver data-backed products. Requires 5+ years in data infra/platform roles and experience with Snowflake, Flink, Airflow, dbt, Kafka, and Kotlin/Python.
Design and execute SQL-based ETL processes to migrate legacy public safety data into the Mark43 platform. Own projects from discovery through delivery while collaborating with contractors, customers, and internal teams.
Lead data strategy and build ETL infrastructure, integrations, and reusable components for internal enterprise systems. Requires 5+ years experience, strong Java/Python, SQL, and API integration skills.
Build Rippling's Data Cloud analytics and BI platform, creating ingestion, transformation, lineage, catalog, and visualization systems plus ML/LLM-powered insights. Requires 6+ years backend engineering experience with Python, distributed systems, and big data tools.
Staff Data Engineer building and scaling data pipelines, integrations, and workflow orchestration systems. Owns architecture, IaC strategy, and technical leadership across large-scale data infrastructure.
Own data and analytics end-to-end: architect internal systems, build metrics/dashboards, and translate customer and product signals into structured inputs for AI agents.
Principal Data Engineer leading platform modernization, infrastructure, and data product development for a high-impact analytics engineering team. Owns architecture, migrations, and cross-functional initiatives using Snowflake, dbt, Dagster, and AWS.
Build and maintain Confido's centralized data warehouse and analytics infrastructure. Design scalable data models, establish data standards, and enable self-service analytics across the organization.
Develop and optimize Nextflow-based bioinformatics pipelines for high-throughput sequencing analysis on Google Cloud Platform. Requires 3+ years of production pipeline experience, Nextflow proficiency, and strong genomics analysis skills.
Architect and build foundational data infrastructure for massive simulation outputs. Design novel data models and high-throughput pipelines to feed LLMs with structured context from complex, state-based environments.
Build and own Bilt's full data stack including BigQuery warehouse, dbt models, CDC/streaming pipelines, and observability. Drive analytics, data modeling, and self-service tooling for business stakeholders.
Entry-level Data Engineer building and maintaining data pipelines on a medallion lakehouse architecture using Python and SQL. Works under guidance on ingestion, transformation, orchestration, and monitoring tasks.
Lead the data engineering team to build and evolve a modern cloud-native data platform, drive data culture, and deliver high-impact data products for risk, customer acquisition, and financial services.
Hands-on Data Engineer building the core data layer for a fast-growing AI observability startup. Own data models, pipelines, and trusted metrics across product usage, revenue, and GTM systems while partnering with Sales, RevOps, Marketing, and Finance.
Design and implement scientific data models and AI/ML solutions for biopharma customers. Engage onsite with scientists in Indianapolis area to translate complex data workflows into scalable cloud-based applications.
Senior data engineer defining long-term data strategy, designing scalable pipelines, and leading cross-functional initiatives. Requires 8+ years experience, strong PySpark/SQL/Python skills, and expertise in Snowflake, Spark, Airflow, and dbt.
Build and maintain data infrastructure processing petabytes of data. Own end-to-end projects for data ingestion, transformation, and serving systems. Requires 3+ years of software engineering experience.
Lead technical outcomes and mentor engineers on the Data Engineering Solutions team. Build and operate large-scale data pipelines, warehouses, and infrastructure using Airflow, Spark, Kafka, Flink, and related tools.
Build and scale data pipelines, models, and reporting systems that power OpenAI's infrastructure operations, capacity planning, and supply chain decisions.
Own and extend customer data ingestion platform and large-scale pipelines powering AI workers. Build data lake, retrieval layer, and infrastructure for syncing, enriching, and querying customer data across CRMs and third-party systems.
Data Engineer building and owning Sardine's internal data platform and warehouse. Integrates GTM, product, finance, and operational data sources via ETL pipelines; owns billing infrastructure, security, and KPIs to drive executive and revenue decisions. Requires 5+ years in data engineering/analytics with Python, SQL, modern data stack (BigQuery/dbt), and tools like Salesforce/HubSpot.
Define and improve data architecture for GTM systems and enterprise CRM. Lead Salesforce data modeling, integrations, governance, and quality initiatives across the customer lifecycle.
Build and operate real-time data pipelines for market events with high reliability and low latency. Requires 5+ years building production data infrastructure, Python proficiency, and experience with Kafka/Flink/Kinesis on AWS or GCP.
Senior Data Engineer to own foundational data model, set standards for testing/documentation/alerting, build ingestion pipelines with dbt/Fivetran/Python, and architect governance for a regulated wealth management platform.
Principal Data Engineer to architect and lead a scalable data platform serving analytics, reporting, and AI workloads from unified foundations. Requires 8+ years building production data pipelines with Snowflake, Kafka, Flink, and strong Python/Java/SQL skills.
Analyze, validate, and build tooling around robotics data from teleoperation, egocentric capture, and grippers. Build automated validation pipelines, data schemas, and visualization tools to ensure high-quality training data.
Software engineer building and maintaining scalable data movement infrastructure using Spark, Flink, and Airflow to support ML and analytics workloads processing 100B+ daily events.
Staff-level technical lead and architect for Haus's data ingestion and normalization platform. Owns schema evolution, data contracts, DQ, lineage, and observability in a GCP/BigQuery/dbt stack. Partners with DS and Product; mentors senior engineers.
Staff-level Data Infrastructure Engineer to architect and evolve the data platform (Snowflake, ingestion, orchestration, CI/CD, AWS infra) serving analytics, product, and ML teams. Requires 10+ years building scalable data platforms and proven technical leadership.
Lead and scale Headway's data engineering team, owning architecture for data warehouse, pipelines, dbt transformations, and orchestration to power analytics, ML, and operations. Requires 8+ years data engineering experience and 3+ years managing teams.
Senior Data Engineer owning end-to-end data domains for industrial plant operations. Designs pipelines, schemas, and contracts from messy sensor/lab sources to support ML and operational decisions.
Senior Data Engineer building scalable batch and real-time data pipelines, feature stores, and low-latency serving systems to power Fetch's recommendation and audience targeting ML models. Requires 6+ years experience with Spark, Kafka, Flink, cloud infrastructure, and close collaboration with ML and backend teams.
Senior Data Engineer owning architecture and technical vision for ClickUp's data platform. Build scalable pipelines on AWS serverless, Snowflake, and dbt; design AI/ML infrastructure; drive cost optimization, standards, and mentor engineers. Requires deep expertise in cloud data systems and large-scale distributed architectures.
Senior Data Platform Engineer owning end-to-end data infrastructure, pipelines from Aleo blockchain indexers, and APIs serving mobile wallets and explorer on GCP. 60/40 split between data engineering and backend API development; requires 6+ years experience with Node.js/TypeScript, Python, SQL, Postgres, BigQuery, Terraform, and Kubernetes.
Senior individual contributor building and leading Jellyfish's Databricks Lakehouse platform to power enterprise analytics, BI, agentic AI workflows, and data science. Requires deep data platform engineering experience, strong Databricks expertise, Python/SQL skills, and ability to deliver governed, production-grade data foundations for AI.
Software Engineer on the Storage team owning the data layer (databases, caches, scaling strategies) that underpins all Cursor products. Design multi-database architectures, build query guardrails, define storage best practices, and own cache infrastructure for reliability and growth.
Founding Data Engineer to architect Payabli's data platform from scratch: design lakehouse/warehouse, build pipelines, model financial data, and establish governance for a regulated fintech environment.
Create advanced SQL/Spark SQL queries and prompt-engineered LLM workflows to transform healthcare claims data into clinical insights and automated policy tools. Requires 3-5 years SQL plus 2-3 years healthcare experience.
Senior engineer building performant user-facing data products from internal datasets using Python, Databricks, and Postgres while collaborating with platform teams.
Design and build scalable big data systems and ETL pipelines using Spark, Kafka, Hive and related technologies. Requires strong data modeling, SQL, and experience with AI coding assistants.
Build and maintain data models, pipelines, and dashboards that power customer experience and compliance operations. Partner with CX and compliance teams to deliver trusted, self-serve analytics.
Senior Research Data Engineer owns the gold data layer between Lakehouse silver data and AI model development. Reverse-engineers complex clinical/operational data semantics, builds reusable curated datasets/pipelines in Databricks for ML/generative AI needs, automates quality/synthesis, and ensures versioned, documented assets accelerate R&D. Requires 5+ years production data systems experience supporting AI workloads, advanced Python/SQL/PySpark, and AI domain knowledge.
Build and maintain scalable data pipelines and platforms that enable AI applications to securely access trusted data. Partner with analytics, marketing, and product teams to deliver production-grade data systems.
Principal-level engineer to define and lead Snowflake's core data engineering and streaming primitives (Streams, Tasks, Dynamic Tables) at cloud scale. Requires 15+ years building large-scale distributed data systems and deep expertise in stream processing or data transformation.
Build and maintain ingestion pipelines that convert large-scale geospatial sensor data (LiDAR, imagery) into standardized formats for ML training and product use. Requires strong Python skills, comfort with undocumented formats, and distributed systems experience.
Build and maintain production data models and pipelines for Coinbase's Compliance Data Mart, ensuring regulatory-grade data quality and supporting audits and exams.
Design and maintain scalable data pipelines and lake architecture on GCP/AWS to power analytics, trading tools, and ML initiatives. Requires 5+ years experience, strong SQL/Python, dbt, orchestration tools, and cloud infrastructure experience.
Design, build, and maintain data pipelines for biomedical and clinical research datasets. Work with scientists and researchers to deliver accessible, well-governed data products using Python, SQL, and ETL/ELT processes.
Build and maintain production data pipelines that prepare conversational, voice, and multimodal data for ML model training and evaluation. Partner closely with ML engineers to deliver high-quality, versioned datasets and infrastructure.
Senior engineer building and operating Brex’s data platform and infrastructure, partnering with product and analytics teams to deliver data-backed products. Requires 5+ years in data infra/platform roles and experience with modern data stack tools.
Senior engineer building and operating Brex’s data platform and infrastructure, partnering with product and analytics teams to deliver data-backed products. Requires 5+ years in data infra/platform roles and experience with Snowflake, Flink, Airflow, dbt, Kafka, and Kotlin/Python.
Design and execute SQL-based ETL processes to migrate legacy public safety data into the Mark43 platform. Own projects from discovery through delivery while collaborating with contractors, customers, and internal teams.
Lead data strategy and build ETL infrastructure, integrations, and reusable components for internal enterprise systems. Requires 5+ years experience, strong Java/Python, SQL, and API integration skills.
Build Rippling's Data Cloud analytics and BI platform, creating ingestion, transformation, lineage, catalog, and visualization systems plus ML/LLM-powered insights. Requires 6+ years backend engineering experience with Python, distributed systems, and big data tools.
Staff Data Engineer building and scaling data pipelines, integrations, and workflow orchestration systems. Owns architecture, IaC strategy, and technical leadership across large-scale data infrastructure.
Own data and analytics end-to-end: architect internal systems, build metrics/dashboards, and translate customer and product signals into structured inputs for AI agents.
Principal Data Engineer leading platform modernization, infrastructure, and data product development for a high-impact analytics engineering team. Owns architecture, migrations, and cross-functional initiatives using Snowflake, dbt, Dagster, and AWS.
Build and maintain Confido's centralized data warehouse and analytics infrastructure. Design scalable data models, establish data standards, and enable self-service analytics across the organization.
Develop and optimize Nextflow-based bioinformatics pipelines for high-throughput sequencing analysis on Google Cloud Platform. Requires 3+ years of production pipeline experience, Nextflow proficiency, and strong genomics analysis skills.
Architect and build foundational data infrastructure for massive simulation outputs. Design novel data models and high-throughput pipelines to feed LLMs with structured context from complex, state-based environments.
Build and own Bilt's full data stack including BigQuery warehouse, dbt models, CDC/streaming pipelines, and observability. Drive analytics, data modeling, and self-service tooling for business stakeholders.
Entry-level Data Engineer building and maintaining data pipelines on a medallion lakehouse architecture using Python and SQL. Works under guidance on ingestion, transformation, orchestration, and monitoring tasks.
Lead the data engineering team to build and evolve a modern cloud-native data platform, drive data culture, and deliver high-impact data products for risk, customer acquisition, and financial services.
Hands-on Data Engineer building the core data layer for a fast-growing AI observability startup. Own data models, pipelines, and trusted metrics across product usage, revenue, and GTM systems while partnering with Sales, RevOps, Marketing, and Finance.
Design and implement scientific data models and AI/ML solutions for biopharma customers. Engage onsite with scientists in Indianapolis area to translate complex data workflows into scalable cloud-based applications.
Senior data engineer defining long-term data strategy, designing scalable pipelines, and leading cross-functional initiatives. Requires 8+ years experience, strong PySpark/SQL/Python skills, and expertise in Snowflake, Spark, Airflow, and dbt.
Build and maintain data infrastructure processing petabytes of data. Own end-to-end projects for data ingestion, transformation, and serving systems. Requires 3+ years of software engineering experience.
Lead technical outcomes and mentor engineers on the Data Engineering Solutions team. Build and operate large-scale data pipelines, warehouses, and infrastructure using Airflow, Spark, Kafka, Flink, and related tools.
Build and scale data pipelines, models, and reporting systems that power OpenAI's infrastructure operations, capacity planning, and supply chain decisions.
Own and extend customer data ingestion platform and large-scale pipelines powering AI workers. Build data lake, retrieval layer, and infrastructure for syncing, enriching, and querying customer data across CRMs and third-party systems.
Data Engineer building and owning Sardine's internal data platform and warehouse. Integrates GTM, product, finance, and operational data sources via ETL pipelines; owns billing infrastructure, security, and KPIs to drive executive and revenue decisions. Requires 5+ years in data engineering/analytics with Python, SQL, modern data stack (BigQuery/dbt), and tools like Salesforce/HubSpot.
Define and improve data architecture for GTM systems and enterprise CRM. Lead Salesforce data modeling, integrations, governance, and quality initiatives across the customer lifecycle.
Build and operate real-time data pipelines for market events with high reliability and low latency. Requires 5+ years building production data infrastructure, Python proficiency, and experience with Kafka/Flink/Kinesis on AWS or GCP.
Senior Data Engineer to own foundational data model, set standards for testing/documentation/alerting, build ingestion pipelines with dbt/Fivetran/Python, and architect governance for a regulated wealth management platform.
Principal Data Engineer to architect and lead a scalable data platform serving analytics, reporting, and AI workloads from unified foundations. Requires 8+ years building production data pipelines with Snowflake, Kafka, Flink, and strong Python/Java/SQL skills.
Analyze, validate, and build tooling around robotics data from teleoperation, egocentric capture, and grippers. Build automated validation pipelines, data schemas, and visualization tools to ensure high-quality training data.
Software engineer building and maintaining scalable data movement infrastructure using Spark, Flink, and Airflow to support ML and analytics workloads processing 100B+ daily events.
Staff-level technical lead and architect for Haus's data ingestion and normalization platform. Owns schema evolution, data contracts, DQ, lineage, and observability in a GCP/BigQuery/dbt stack. Partners with DS and Product; mentors senior engineers.
Staff-level Data Infrastructure Engineer to architect and evolve the data platform (Snowflake, ingestion, orchestration, CI/CD, AWS infra) serving analytics, product, and ML teams. Requires 10+ years building scalable data platforms and proven technical leadership.
Lead and scale Headway's data engineering team, owning architecture for data warehouse, pipelines, dbt transformations, and orchestration to power analytics, ML, and operations. Requires 8+ years data engineering experience and 3+ years managing teams.
Senior Data Engineer owning end-to-end data domains for industrial plant operations. Designs pipelines, schemas, and contracts from messy sensor/lab sources to support ML and operational decisions.