Senior Software Engineer owning JVM-based data integrations and connectors for ClickHouse. Requires 6+ years experience building scalable data systems with deep Java/JVM expertise and experience extending frameworks like Spark, Flink, or Kafka Connect.
Own the technical vision and architecture for a data & ML platform serving analytics, product, and machine learning workloads. Drive cross-org initiatives, set platform standards, and build infrastructure at the intersection of data engineering and ML systems.
Staff Data Engineer leading architecture and reliability for a unified data platform that powers real-time experiences, analytics, and ML systems. Owns data contracts, schema evolution, observability, and standards across Kafka, Flink, PySpark, Delta Lake, and Databricks in a HIPAA-compliant environment.
Build and maintain curated analytical datasets, data models, and executive dashboards that power metrics and self-serve analytics for data scientists, PMs, and stakeholders.
Design, build, and maintain scalable Snowflake data pipelines for Product and Data Science teams, with ownership of cost optimization, performance tuning, and Streamlit dashboards.
Lead and manage a team of 5+ data engineers to build and operate Skillable's enterprise data platform. Drive Medallion architecture implementation using Databricks, dbt, Boomi, and Delta Lake while establishing DataOps practices and improving pipeline reliability.
Software Engineer building data models, pipelines, and systems for measuring, monetizing, and optimizing customer lifecycle at an AI marketing platform.
Administer and optimize AWS PostgreSQL databases, tune queries, and improve data schemas while using AI tools for daily workflows.
Lead data infrastructure for a national security tech company building a high-performance data lake and ETL pipelines for petabyte-scale cyber operations datasets. Requires 8+ years experience, strong data lake expertise, and proven technical leadership.
Senior Software Engineer focused on architecting and scaling high-throughput data platforms for analytics, AI/ML, and centralized storage using Java, Spark, Flink, Kafka, and modern data lake technologies.
Architect and build Voleon’s batch and realtime streaming platform that powers ML research and production trading systems. Requires 10+ years experience building scalable data infrastructure with Python, Go, and distributed systems.
Builds and maintains petabyte-scale data storage infrastructure for AI training workloads. Requires 4+ years in data infrastructure, Python, Kubernetes, and distributed processing frameworks like Spark or Beam.
Build and manage data pipelines and canonical datasets for experimentation platform, tracking product metrics like user growth and revenue. Collaborate with cross-functional teams at OpenAI; requires 3+ years data engineering experience with Spark, ETL tools, and distributed systems.
Leads technical strategy for analytics data infrastructure, owns metric definitions, builds curated datasets and data models using SQL/Python, implements quality monitoring, and collaborates cross-functionally. Requires 7+ years in analytics/data engineering.
Builds and maintains reliable data pipelines and infrastructure using SQL, Python, Airflow, and Redshift to support analytics for Risk, Marketing, Finance stakeholders. Leads projects, reviews code, and scales platform as business grows.
Owns the data warehouse, semantic layer, and ingestion pipelines using Snowflake, dbt, and Looker. Architects reliable data models, integrates new sources, enables AI workflows, and sets company-wide metrics standards. Requires 5+ years in analytics/data engineering with strong SQL, dbt, and Python.
Designs and implements large-scale data warehouses and transformation pipelines using Snowflake, dbt, SQL, and Python. Partners cross-functionally to ensure data quality, accessibility, and impact; requires 5+ years experience.
Designs and owns data architecture, builds/optimizes pipelines and models using Python, SQL, Snowflake, dbt, and AWS. Manages SLAs, data governance, and mentors team; requires 5+ years experience and bachelor's in CS or related.
Build and manage data pipelines for people analytics and internal products like OpenHouse at OpenAI's People Innovation Labs. Collaborate with analytics and engineering teams using Databricks, Spark, and ETL tools; requires 3+ years data engineering experience.
Designs and implements scalable data models, pipelines, and lakehouse infrastructure using Snowflake and Clickhouse to support analytics, ML, and products. Requires 5+ years data engineering experience, SQL/Python expertise, and leadership in data governance.
Builds and optimizes large-scale data pipelines using Airflow, dbt, and Python on a ClickHouse-powered data warehouse. Designs reusable components, data models, and DataOps tooling while mentoring the team and ensuring platform reliability.
Develops and optimizes large-scale simulation and ML training pipelines using Ray.io and Kubernetes to validate autonomous vehicle behaviors. Requires 6+ years experience optimizing distributed systems, Python proficiency, and AWS knowledge.
Develops and curates large-scale test sets from driving logs to validate autonomous driving system performance. Requires Master's/PhD in data-related field, 3+ years experience, Python proficiency, and expertise in building test sets for statistical analysis.
Lead Analytics Engineering and BI strategy at a fintech company. Build and scale data warehouse, dimensional models, and Looker reporting layers while managing a high-performing team of analytics engineers.
Designs and owns Common Data Models and semantic layers for scientific data interoperability in life sciences. Translates business goals into ontologies, ensures FAIR data for AI/ML, and empowers forward-deployed engineers with standardized contracts. Requires 7+ years in data architecture and CDM expertise like HL7 FHIR, OMOP.
Builds and manages data pipelines using dbt, SQL, and Python to create scalable analytics infrastructure. Develops dashboards and self-serve tools for company-wide metrics, partnering with Engineering, Product, and GTM teams. Requires 5+ years experience.
Designs and leads production data pipelines integrating EHR clinical data from Epic Cerner Athenahealth via FHIR HL7 CCDA enforcing healthcare standards for low-latency insights. Builds AWS cloud infrastructure ETL workflows with Python Docker Kubernetes for ML enablement and HIPAA compliance requiring 5+ years healthcare data engineering experience.
Designs, implements, and optimizes high-performance batch processing infrastructure handling hundreds of petabytes using Spark, Presto/Trino, and Iceberg. Requires 6+ years in scalable big data systems and proficiency in Java, Scala, or Python.
Builds and operates scalable data platform infrastructure including lakehouse, Snowflake, and AWS services. Partners with data and ML teams to enable analytics and innovation, leveraging Python, SQL, orchestration tools, and AI-assisted development.
Builds and maintains ETL pipelines for clinical studies with biometric sensor data, validates hardware algorithms through statistical analysis, and develops tools for data visualization and cross-team collaboration at a sleep tech company.
Technical leader on the Data Engineering team driving design and implementation of foundational data products and analytics platform capabilities. Owns complex data systems end-to-end and leads platform modernization, migrations, and cross-functional initiatives.
Leads Scientific Data Engineering team to build data pipelines, schemas, and parsers for pre-clinical lab data using Python/SQL/AI. Architects solutions, mentors juniors, and delivers customer-focused data products with dashboards in React/Streamlit. Requires 8+ years experience.
Builds scalable data infrastructure for ML training and evaluation in autonomous driving, including pipelines for logs, annotation tools, dashboards, and monitoring systems. Requires Python proficiency, 1+ years experience with large-scale data systems, and CS/EE bachelor's degree.
Builds scalable data infrastructure for autonomous driving ML systems, processing large-scale batch/streaming data from logs and simulations. Requires Python/C++ proficiency, data pipeline experience, and bachelor's in CS/EE; 1+ years experience.
Build scalable data infrastructure for ML training and evaluation in autonomous driving, including batch/streaming pipelines, storage systems, dashboards, monitoring, data mining, and annotation tools. Requires 4+ years experience, Python proficiency, and engineering leadership.
Build scalable data platforms for autonomous driving ML systems, including batch/streaming pipelines, storage, dashboards, and monitoring. Requires 4+ years experience in large-scale data systems, Python/C++, and engineering leadership.
Leads design, build, and operation of core data infrastructure including event streaming, relational databases, and batch processing systems. Ensures scalability, reliability, and compliance while mentoring engineers and optimizing pipelines for analytics and ML.
Builds and scales data infrastructure for distributed training pipelines, multimodal data catalogs, and petabyte-scale processing systems. Collaborates with researchers using distributed systems like Spark, Ray, Kafka, and cloud data architectures. Requires backend proficiency in Python/Rust and bachelor's in CS/engineering.
Owns end-to-end analytics engineering including dbt models, orchestration, metrics, documentation, and data quality in Snowflake. Requires 5+ years experience, strong SQL/data modeling, and orchestration tooling expertise.
Lead RWD strategy and data engineering at a tech-driven pharma company. Own sourcing, harmonization (OMOP), infrastructure, and vendor management to deliver analysis-ready datasets supporting drug development and portfolio decisions.
Leads design and evolution of analytics infrastructure for research reporting, owning pipelines, datasets, and platform standardization. Collaborates with data scientists using Python, SQL, distributed engines like Presto/Spark. Requires 6+ years in data infrastructure.
Leads architectural evolution of data platform for FEDRamp compliance and builds secure data pipelines for analytics and security in federal environments. Requires 8+ years experience with cloud data infrastructure, Python/SQL, and modern data stack tools like Snowflake and dbt.
Builds and scales data infrastructure including ingestion pipelines, orchestration with Dagster, and optimization on AWS and Snowflake. Requires 5+ years experience with data pipelines, Python, and cross-functional collaboration in a high-growth AI music platform.
Build scalable data platforms for AI model training pipelines, including acquisition, preparation, quality evaluation, and delivery. Collaborate with ML and data engineers; requires 1+ years software experience and strong coding in Python/Rust/etc.
Builds and maintains a high-quality data platform for delivering Forge data to clients, implementing features, and improving UIs. Requires 3-5+ years in TypeScript/C#/Java/Python, React, modern data architectures, CI/CD, and cloud platforms like AWS.
Builds and maintains a high-quality data platform delivering Forge data to clients, implementing features with agile methodologies. Requires 3-5+ years in TypeScript/C#/Java/Python, React, modern data architectures, CI/CD, AWS, and SQL databases; hybrid in Soho, NY.
Builds and maintains a high-quality data platform for delivering Forge's financial data to clients, implementing features with agile methods. Requires 3-5+ years in TypeScript/C#/Java/Python, React, modern data architectures, CI/CD, AWS, and SQL/PostgreSQL.
Leads design, maintenance, and governance of healthcare advertising data ontology, knowledge graphs, and documentation to enable AI agents and cross-functional data reasoning. Requires 7+ years in data modeling with healthcare background and strong SQL skills.
Designs, implements, and scales foundational data pipelines processing massive healthcare datasets using Spark, Python, Rust, and SQL. Leads cross-functional initiatives, ensures data quality, and enables AI/ML workflows for production-grade data products.
Builds and scales OLAP/OLTP data platforms for prediction market analytics, handling event ingestion, data modeling, streaming pipelines, and low-latency serving at crypto scale. Requires 5+ years experience with columnar warehouses like ClickHouse, Kafka, PostgreSQL, and data lakes.
Senior Software Engineer owning JVM-based data integrations and connectors for ClickHouse. Requires 6+ years experience building scalable data systems with deep Java/JVM expertise and experience extending frameworks like Spark, Flink, or Kafka Connect.
Own the technical vision and architecture for a data & ML platform serving analytics, product, and machine learning workloads. Drive cross-org initiatives, set platform standards, and build infrastructure at the intersection of data engineering and ML systems.
Staff Data Engineer leading architecture and reliability for a unified data platform that powers real-time experiences, analytics, and ML systems. Owns data contracts, schema evolution, observability, and standards across Kafka, Flink, PySpark, Delta Lake, and Databricks in a HIPAA-compliant environment.
Build and maintain curated analytical datasets, data models, and executive dashboards that power metrics and self-serve analytics for data scientists, PMs, and stakeholders.
Design, build, and maintain scalable Snowflake data pipelines for Product and Data Science teams, with ownership of cost optimization, performance tuning, and Streamlit dashboards.
Lead and manage a team of 5+ data engineers to build and operate Skillable's enterprise data platform. Drive Medallion architecture implementation using Databricks, dbt, Boomi, and Delta Lake while establishing DataOps practices and improving pipeline reliability.
Software Engineer building data models, pipelines, and systems for measuring, monetizing, and optimizing customer lifecycle at an AI marketing platform.
Administer and optimize AWS PostgreSQL databases, tune queries, and improve data schemas while using AI tools for daily workflows.
Lead data infrastructure for a national security tech company building a high-performance data lake and ETL pipelines for petabyte-scale cyber operations datasets. Requires 8+ years experience, strong data lake expertise, and proven technical leadership.
Senior Software Engineer focused on architecting and scaling high-throughput data platforms for analytics, AI/ML, and centralized storage using Java, Spark, Flink, Kafka, and modern data lake technologies.
Architect and build Voleon’s batch and realtime streaming platform that powers ML research and production trading systems. Requires 10+ years experience building scalable data infrastructure with Python, Go, and distributed systems.
Builds and maintains petabyte-scale data storage infrastructure for AI training workloads. Requires 4+ years in data infrastructure, Python, Kubernetes, and distributed processing frameworks like Spark or Beam.
Build and manage data pipelines and canonical datasets for experimentation platform, tracking product metrics like user growth and revenue. Collaborate with cross-functional teams at OpenAI; requires 3+ years data engineering experience with Spark, ETL tools, and distributed systems.
Leads technical strategy for analytics data infrastructure, owns metric definitions, builds curated datasets and data models using SQL/Python, implements quality monitoring, and collaborates cross-functionally. Requires 7+ years in analytics/data engineering.
Builds and maintains reliable data pipelines and infrastructure using SQL, Python, Airflow, and Redshift to support analytics for Risk, Marketing, Finance stakeholders. Leads projects, reviews code, and scales platform as business grows.
Owns the data warehouse, semantic layer, and ingestion pipelines using Snowflake, dbt, and Looker. Architects reliable data models, integrates new sources, enables AI workflows, and sets company-wide metrics standards. Requires 5+ years in analytics/data engineering with strong SQL, dbt, and Python.
Designs and implements large-scale data warehouses and transformation pipelines using Snowflake, dbt, SQL, and Python. Partners cross-functionally to ensure data quality, accessibility, and impact; requires 5+ years experience.
Designs and owns data architecture, builds/optimizes pipelines and models using Python, SQL, Snowflake, dbt, and AWS. Manages SLAs, data governance, and mentors team; requires 5+ years experience and bachelor's in CS or related.
Build and manage data pipelines for people analytics and internal products like OpenHouse at OpenAI's People Innovation Labs. Collaborate with analytics and engineering teams using Databricks, Spark, and ETL tools; requires 3+ years data engineering experience.
Designs and implements scalable data models, pipelines, and lakehouse infrastructure using Snowflake and Clickhouse to support analytics, ML, and products. Requires 5+ years data engineering experience, SQL/Python expertise, and leadership in data governance.
Builds and optimizes large-scale data pipelines using Airflow, dbt, and Python on a ClickHouse-powered data warehouse. Designs reusable components, data models, and DataOps tooling while mentoring the team and ensuring platform reliability.
Develops and optimizes large-scale simulation and ML training pipelines using Ray.io and Kubernetes to validate autonomous vehicle behaviors. Requires 6+ years experience optimizing distributed systems, Python proficiency, and AWS knowledge.
Develops and curates large-scale test sets from driving logs to validate autonomous driving system performance. Requires Master's/PhD in data-related field, 3+ years experience, Python proficiency, and expertise in building test sets for statistical analysis.
Lead Analytics Engineering and BI strategy at a fintech company. Build and scale data warehouse, dimensional models, and Looker reporting layers while managing a high-performing team of analytics engineers.
Designs and owns Common Data Models and semantic layers for scientific data interoperability in life sciences. Translates business goals into ontologies, ensures FAIR data for AI/ML, and empowers forward-deployed engineers with standardized contracts. Requires 7+ years in data architecture and CDM expertise like HL7 FHIR, OMOP.
Builds and manages data pipelines using dbt, SQL, and Python to create scalable analytics infrastructure. Develops dashboards and self-serve tools for company-wide metrics, partnering with Engineering, Product, and GTM teams. Requires 5+ years experience.
Designs and leads production data pipelines integrating EHR clinical data from Epic Cerner Athenahealth via FHIR HL7 CCDA enforcing healthcare standards for low-latency insights. Builds AWS cloud infrastructure ETL workflows with Python Docker Kubernetes for ML enablement and HIPAA compliance requiring 5+ years healthcare data engineering experience.
Designs, implements, and optimizes high-performance batch processing infrastructure handling hundreds of petabytes using Spark, Presto/Trino, and Iceberg. Requires 6+ years in scalable big data systems and proficiency in Java, Scala, or Python.
Builds and operates scalable data platform infrastructure including lakehouse, Snowflake, and AWS services. Partners with data and ML teams to enable analytics and innovation, leveraging Python, SQL, orchestration tools, and AI-assisted development.
Builds and maintains ETL pipelines for clinical studies with biometric sensor data, validates hardware algorithms through statistical analysis, and develops tools for data visualization and cross-team collaboration at a sleep tech company.
Technical leader on the Data Engineering team driving design and implementation of foundational data products and analytics platform capabilities. Owns complex data systems end-to-end and leads platform modernization, migrations, and cross-functional initiatives.
Leads Scientific Data Engineering team to build data pipelines, schemas, and parsers for pre-clinical lab data using Python/SQL/AI. Architects solutions, mentors juniors, and delivers customer-focused data products with dashboards in React/Streamlit. Requires 8+ years experience.
Builds scalable data infrastructure for ML training and evaluation in autonomous driving, including pipelines for logs, annotation tools, dashboards, and monitoring systems. Requires Python proficiency, 1+ years experience with large-scale data systems, and CS/EE bachelor's degree.
Builds scalable data infrastructure for autonomous driving ML systems, processing large-scale batch/streaming data from logs and simulations. Requires Python/C++ proficiency, data pipeline experience, and bachelor's in CS/EE; 1+ years experience.
Build scalable data infrastructure for ML training and evaluation in autonomous driving, including batch/streaming pipelines, storage systems, dashboards, monitoring, data mining, and annotation tools. Requires 4+ years experience, Python proficiency, and engineering leadership.
Build scalable data platforms for autonomous driving ML systems, including batch/streaming pipelines, storage, dashboards, and monitoring. Requires 4+ years experience in large-scale data systems, Python/C++, and engineering leadership.
Leads design, build, and operation of core data infrastructure including event streaming, relational databases, and batch processing systems. Ensures scalability, reliability, and compliance while mentoring engineers and optimizing pipelines for analytics and ML.
Builds and scales data infrastructure for distributed training pipelines, multimodal data catalogs, and petabyte-scale processing systems. Collaborates with researchers using distributed systems like Spark, Ray, Kafka, and cloud data architectures. Requires backend proficiency in Python/Rust and bachelor's in CS/engineering.
Owns end-to-end analytics engineering including dbt models, orchestration, metrics, documentation, and data quality in Snowflake. Requires 5+ years experience, strong SQL/data modeling, and orchestration tooling expertise.
Lead RWD strategy and data engineering at a tech-driven pharma company. Own sourcing, harmonization (OMOP), infrastructure, and vendor management to deliver analysis-ready datasets supporting drug development and portfolio decisions.
Leads design and evolution of analytics infrastructure for research reporting, owning pipelines, datasets, and platform standardization. Collaborates with data scientists using Python, SQL, distributed engines like Presto/Spark. Requires 6+ years in data infrastructure.
Leads architectural evolution of data platform for FEDRamp compliance and builds secure data pipelines for analytics and security in federal environments. Requires 8+ years experience with cloud data infrastructure, Python/SQL, and modern data stack tools like Snowflake and dbt.
Builds and scales data infrastructure including ingestion pipelines, orchestration with Dagster, and optimization on AWS and Snowflake. Requires 5+ years experience with data pipelines, Python, and cross-functional collaboration in a high-growth AI music platform.
Build scalable data platforms for AI model training pipelines, including acquisition, preparation, quality evaluation, and delivery. Collaborate with ML and data engineers; requires 1+ years software experience and strong coding in Python/Rust/etc.
Builds and maintains a high-quality data platform for delivering Forge data to clients, implementing features, and improving UIs. Requires 3-5+ years in TypeScript/C#/Java/Python, React, modern data architectures, CI/CD, and cloud platforms like AWS.
Builds and maintains a high-quality data platform delivering Forge data to clients, implementing features with agile methodologies. Requires 3-5+ years in TypeScript/C#/Java/Python, React, modern data architectures, CI/CD, AWS, and SQL databases; hybrid in Soho, NY.
Builds and maintains a high-quality data platform for delivering Forge's financial data to clients, implementing features with agile methods. Requires 3-5+ years in TypeScript/C#/Java/Python, React, modern data architectures, CI/CD, AWS, and SQL/PostgreSQL.
Leads design, maintenance, and governance of healthcare advertising data ontology, knowledge graphs, and documentation to enable AI agents and cross-functional data reasoning. Requires 7+ years in data modeling with healthcare background and strong SQL skills.
Designs, implements, and scales foundational data pipelines processing massive healthcare datasets using Spark, Python, Rust, and SQL. Leads cross-functional initiatives, ensures data quality, and enables AI/ML workflows for production-grade data products.
Builds and scales OLAP/OLTP data platforms for prediction market analytics, handling event ingestion, data modeling, streaming pipelines, and low-latency serving at crypto scale. Requires 5+ years experience with columnar warehouses like ClickHouse, Kafka, PostgreSQL, and data lakes.