Build and maintain scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow on AWS. Partner with Data Science and Engineering teams to enhance data quality, observability, and ML platform support. Requires 4+ years experience with Python, SQL, and cloud data stacks.
Leads architecture and development of large-scale data platforms for AI, including storage, streaming, caching, and indexing. Requires 8+ years experience with databases, streaming tools, Kubernetes, and distributed systems.
Develops backend systems for MongoDB data migration and code generation tools using Java, Kafka, and Debezium. Requires 2+ years experience in distributed systems, streaming platforms, and strong CS fundamentals.
Builds and scales data pipelines and infrastructure to ingest, transform, and deliver actionable insights from raw events. Requires 3+ years experience, expert SQL, programming, and ETL/ELT expertise for nationwide marketplace.
Founding Analytics Engineer builds analytics infrastructure from scratch, designs data models and metrics frameworks for healthcare financial data, and creates self-service dashboards. Requires 5+ years experience with SQL, dbt, Python, and cloud data warehouses; NYC-based hybrid role.
Builds and maintains end-to-end data pipelines from raw ingestion to analysis, using Python, SQL, and AI tools to create actionable insights for healthcare clients and internal teams. Requires 4+ years experience handling complex data systems with focus on quality and observability.
Designs and builds analytics data models, pipelines, and metrics from raw AI evaluation data. Partners with product and research teams to ensure scalable, high-quality data for insights and dashboards. Requires 3+ years experience with SQL, Python, Airflow, and modern data warehouses.
Leads technical direction and development of Unity Catalog's governance features for secure data and AI asset management at scale. Requires 15+ years in large-scale distributed systems, deep CS expertise, and strong leadership.
Develops distributed data systems like Apache Spark and Delta Lake at massive scale, ensuring high performance and reliability for exabyte-scale workloads. Requires 8+ years in Java/Scala/C++ and deep distributed systems expertise.
Senior engineer building distributed data systems like Apache Spark and Delta Lake to handle big data processing, ETL, and data science workloads. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Develop distributed data systems including Apache Spark and Delta Lake to handle big data workloads efficiently. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Builds and owns customer data integrations for hospital systems, designing production ETL pipelines and reusable connectors. Requires 4+ years experience with Python, SQL, AWS, and direct customer collaboration in ambiguous environments.
Builds and optimizes scalable data pipelines, storage, and OLAP databases for ML training, analytics, and product features. Requires 5+ years in data engineering, proficiency in Python/SQL/cloud platforms, and distributed systems experience.
Builds and maintains scalable data pipelines and infrastructure for business decisions, partnering with Analytics, Data Science, and Product teams. Requires 6+ years experience with Python, SQL, and modern data stack tools like Snowflake and Airflow.
Designs and architects scalable database systems for high-traffic gaming workloads, builds automation tooling and data pipelines, and optimizes performance for real-time chess games and social features. Requires 5+ years experience with MySQL, Redis, Python/Go, and infrastructure-as-code tools.
Build full-stack systems, tools, and infrastructure for human feedback collection, AI model alignment, and evaluation. Collaborate with researchers to scale production systems and enhance model safety in a fast-paced environment.
Builds and scales large-scale data infrastructure including batch systems with Spark and Ray Data, streaming pipelines with Kafka/Flink, and storage on S3/Iceberg. Requires deep hands-on experience with production data pipelines and performance debugging.
Owns Runway's internal EDA and evaluation platform for ML research teams, optimizing queries, scaling infrastructure, and building intuitive features for non-engineers. Requires 4+ years backend experience with platform/infra, ML knowledge, or product engineering.
Builds and scales data infrastructure including pipelines for multimodal ML datasets, ETL/CDC streams, and database management to support AI research and business intelligence. Requires 4+ years in data engineering with strong Python and SQL skills.
Build and maintain scalable data models, pipelines, and Core Data tables to transform raw data into actionable insights. Collaborate with data scientists and business teams using SQL, DBT, Snowflake, Airflow, and Python.
Designs, develops, and maintains large-scale data platforms and pipelines using Java microservices. Leads technical direction, mentors engineers, and ensures data quality, governance, and observability in cloud-native environments. Requires 10+ years experience with 4+ in data pipelines.
Develops and maintains big data applications using Java and distributed systems like Apache Hudi, Spark, and Trino. Collaborates on requirements, ensures scalable code with TDD, and works with storage systems like S3 and ADLS.
Builds analytics infrastructure, frameworks, and tools for monitoring clinical AI/ML product performance, enabling clinical case reviews, and driving cross-functional insights. Requires 5+ years experience with Python, SQL, cloud data platforms, and handling sensitive health data.
Build and scale data pipelines and infrastructure using Python, Airflow, dbt, and Snowflake to power patient outcomes in a high-growth healthcare startup. Requires strong Python/SQL expertise, orchestration mastery, and startup mindset for handling sensitive medical data.
Build and scale distributed data infrastructure handling millions of events daily for billing, analytics, and BI tools. Requires 5+ years experience with stream processing (Kafka, Kinesis), real-time analytics (ClickHouse), IaC (Terraform), and programming (Golang/Python).
Builds and maintains scalable data pipelines, models, and warehouses to enable business intelligence and decision-making. Collaborates with teams on data integration, governance, and self-serve analytics using SQL, dbt, Python, and BI tools. Requires 3+ years experience.
Architects and builds massive-scale data infrastructure for web crawling, embedding model training, and real-time search, handling hundreds of petabytes. Requires expertise in lakehouse architectures, distributed processing pipelines, and streaming systems like Kafka and Flink.
Designs and owns mission-critical data pipelines to enable decision-making across data science, growth, sales, marketing, and product teams. Requires 5+ years experience with scalable pipelines (preferably Airflow), Python, and advanced SQL.
Staff engineer builds and owns scalable data pipelines, backend services, and AI agents for MLS/property data platform, powering search, recommendations, and automation. Requires 10+ years experience with distributed systems, Python/Java, Kafka, Spark/Flink, and cloud infrastructure.
Build and scale data pipelines to process millions of user votes for AI model evaluation. Partner with researchers to deliver insights via dashboards, ensuring data quality and reliability in a fast-paced environment. Requires 5+ years in data engineering with big data tools.
Build core data infrastructure as the first Data Engineer, designing scalable warehouse/lakehouse, data pipelines, and models for KPIs and AI systems. Requires 3-5+ years experience with Python, SQL, and modern cloud data stack in startups.
Builds and scales data pipelines, models, and integrations to provide real-time insights for product, engineering, finance, and GTM teams. Requires 4+ years experience with SQL, Python/JavaScript, dbt/Airflow, and data architecture.
Lead enterprise data architecture strategy, designing scalable data warehouse and BI solutions across cloud platforms while establishing governance, quality, and AI/ML integration practices.
Build and scale data ingestion pipelines and connectors for enterprise SaaS apps, transform unstructured data for AI search and agents, ensure reliability and security at petabyte scale. Requires 3+ years backend/data infrastructure experience with distributed systems.
Builds and maintains scalable data pipelines for processing massive lead datasets and real-time intent signals. Owns data ingestion, modeling, ML dataset preparation, quality monitoring, and optimization in a fast-paced AI startup.
Owns full data stack including database architecture, ETL/ELT pipelines, integrations, and product/GTM reporting. Requires 4+ years experience, expert SQL/Python, ETL tools, data modeling, and statistics. Based in SF or NYC.
Leads design and implementation of scalable streaming data pipelines using Kafka, Flink, and Spark Streaming. Mentors engineers, ensures data quality and observability, with 10+ years experience including 4+ in real-time systems.
Build and scale data pipelines partnering with Data Science, Infrastructure, and business teams to deliver reliable data for metrics and self-serve reporting. Requires 4+ years experience, SQL/Python fluency, and familiarity with Snowflake, dbt, Dagster.
Designs and scales distributed data infrastructure for large-scale multimodal training and evaluation at OpenAI. Collaborates with researchers to build reliable, high-performance systems handling massive data volumes in a fast-paced environment.
Lead architecture of exabyte-scale distributed data systems that self-optimize via compression, metadata, and intelligent layouts to power efficient AI infrastructure. Requires deep expertise in distributed systems, low-level data representation, and leadership of large-scale production systems.
Build foundational data systems for AI at scale, including global metadata, adaptive engines, and intelligent data layouts using distributed systems, columnar formats, and languages like Java/Rust/Go/C++.
Designs and runs massive-scale data pipelines for ingestion, normalization, enrichment, and delivery across 80M+ companies and 800M+ people. Manages data operations, BPO vendors, partnerships, monitoring, and cost optimization using Python, Dagster, and DuckDB.
Build scalable data infrastructure to ingest and process millions of hardware telemetry data points per second. Requires 7+ years in data engineering, streaming systems like Flink/Kafka, databases like PostgreSQL/Druid, and languages like Go/Rust/Python.
Builds and modernizes data platform infrastructure handling billions of API calls using tools like Kinesis, S3, Athena, and Airflow. Collaborates with customers to incorporate feedback and requires experience with data stacks including Snowflake or Databricks.
Leads development of high-performance data lakes and ETL pipelines for petabyte-scale cyber operations data. Partners with engineers and analysts to build reliable data systems, drives technical initiatives, and mentors team members. Requires 8+ years experience and TS/SCI clearance.
Builds and maintains scalable data pipelines for ingestion, transformation, and reliability using SQL, Python, dbt, and Fivetran to support data science, engineering, and product teams. Requires proven data engineering experience with modern data stack tools.
Designs and implements dataset infrastructure for OpenAI's large-scale LLM training stack, including standardized APIs for multimodal data, scaling pipelines across GPU fleets, and performance debugging. Requires strong distributed systems experience and collaboration with researchers.
Develops and maintains safety data pipelines, dashboards, and AI-assisted triage processes for AV fleet data to support compliance and internal learnings. Requires 4+ years with large-scale datasets, Python/SQL expertise, and dashboard tools like Looker/Databricks.
Builds and scales data pipelines for video AI datasets, owning end-to-end projects from sourcing to delivery with ML filters and dashboards. Requires strong Python skills, clean code practices, and customer communication.
Build and maintain core data models, pipelines, and reporting infrastructure using modern data stack tools to enable decision-making across product, ops, and GTM teams. Requires 3-6 years of production data/analytics engineering experience and expert SQL.
Build and maintain scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow on AWS. Partner with Data Science and Engineering teams to enhance data quality, observability, and ML platform support. Requires 4+ years experience with Python, SQL, and cloud data stacks.
Leads architecture and development of large-scale data platforms for AI, including storage, streaming, caching, and indexing. Requires 8+ years experience with databases, streaming tools, Kubernetes, and distributed systems.
Develops backend systems for MongoDB data migration and code generation tools using Java, Kafka, and Debezium. Requires 2+ years experience in distributed systems, streaming platforms, and strong CS fundamentals.
Builds and scales data pipelines and infrastructure to ingest, transform, and deliver actionable insights from raw events. Requires 3+ years experience, expert SQL, programming, and ETL/ELT expertise for nationwide marketplace.
Founding Analytics Engineer builds analytics infrastructure from scratch, designs data models and metrics frameworks for healthcare financial data, and creates self-service dashboards. Requires 5+ years experience with SQL, dbt, Python, and cloud data warehouses; NYC-based hybrid role.
Builds and maintains end-to-end data pipelines from raw ingestion to analysis, using Python, SQL, and AI tools to create actionable insights for healthcare clients and internal teams. Requires 4+ years experience handling complex data systems with focus on quality and observability.
Designs and builds analytics data models, pipelines, and metrics from raw AI evaluation data. Partners with product and research teams to ensure scalable, high-quality data for insights and dashboards. Requires 3+ years experience with SQL, Python, Airflow, and modern data warehouses.
Leads technical direction and development of Unity Catalog's governance features for secure data and AI asset management at scale. Requires 15+ years in large-scale distributed systems, deep CS expertise, and strong leadership.
Develops distributed data systems like Apache Spark and Delta Lake at massive scale, ensuring high performance and reliability for exabyte-scale workloads. Requires 8+ years in Java/Scala/C++ and deep distributed systems expertise.
Senior engineer building distributed data systems like Apache Spark and Delta Lake to handle big data processing, ETL, and data science workloads. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Develop distributed data systems including Apache Spark and Delta Lake to handle big data workloads efficiently. Requires 5+ years in Java/Scala/C++ and expertise in distributed systems.
Builds and owns customer data integrations for hospital systems, designing production ETL pipelines and reusable connectors. Requires 4+ years experience with Python, SQL, AWS, and direct customer collaboration in ambiguous environments.
Builds and optimizes scalable data pipelines, storage, and OLAP databases for ML training, analytics, and product features. Requires 5+ years in data engineering, proficiency in Python/SQL/cloud platforms, and distributed systems experience.
Builds and maintains scalable data pipelines and infrastructure for business decisions, partnering with Analytics, Data Science, and Product teams. Requires 6+ years experience with Python, SQL, and modern data stack tools like Snowflake and Airflow.
Designs and architects scalable database systems for high-traffic gaming workloads, builds automation tooling and data pipelines, and optimizes performance for real-time chess games and social features. Requires 5+ years experience with MySQL, Redis, Python/Go, and infrastructure-as-code tools.
Build full-stack systems, tools, and infrastructure for human feedback collection, AI model alignment, and evaluation. Collaborate with researchers to scale production systems and enhance model safety in a fast-paced environment.
Builds and scales large-scale data infrastructure including batch systems with Spark and Ray Data, streaming pipelines with Kafka/Flink, and storage on S3/Iceberg. Requires deep hands-on experience with production data pipelines and performance debugging.
Owns Runway's internal EDA and evaluation platform for ML research teams, optimizing queries, scaling infrastructure, and building intuitive features for non-engineers. Requires 4+ years backend experience with platform/infra, ML knowledge, or product engineering.
Builds and scales data infrastructure including pipelines for multimodal ML datasets, ETL/CDC streams, and database management to support AI research and business intelligence. Requires 4+ years in data engineering with strong Python and SQL skills.
Build and maintain scalable data models, pipelines, and Core Data tables to transform raw data into actionable insights. Collaborate with data scientists and business teams using SQL, DBT, Snowflake, Airflow, and Python.
Designs, develops, and maintains large-scale data platforms and pipelines using Java microservices. Leads technical direction, mentors engineers, and ensures data quality, governance, and observability in cloud-native environments. Requires 10+ years experience with 4+ in data pipelines.
Develops and maintains big data applications using Java and distributed systems like Apache Hudi, Spark, and Trino. Collaborates on requirements, ensures scalable code with TDD, and works with storage systems like S3 and ADLS.
Builds analytics infrastructure, frameworks, and tools for monitoring clinical AI/ML product performance, enabling clinical case reviews, and driving cross-functional insights. Requires 5+ years experience with Python, SQL, cloud data platforms, and handling sensitive health data.
Build and scale data pipelines and infrastructure using Python, Airflow, dbt, and Snowflake to power patient outcomes in a high-growth healthcare startup. Requires strong Python/SQL expertise, orchestration mastery, and startup mindset for handling sensitive medical data.
Build and scale distributed data infrastructure handling millions of events daily for billing, analytics, and BI tools. Requires 5+ years experience with stream processing (Kafka, Kinesis), real-time analytics (ClickHouse), IaC (Terraform), and programming (Golang/Python).
Builds and maintains scalable data pipelines, models, and warehouses to enable business intelligence and decision-making. Collaborates with teams on data integration, governance, and self-serve analytics using SQL, dbt, Python, and BI tools. Requires 3+ years experience.
Architects and builds massive-scale data infrastructure for web crawling, embedding model training, and real-time search, handling hundreds of petabytes. Requires expertise in lakehouse architectures, distributed processing pipelines, and streaming systems like Kafka and Flink.
Designs and owns mission-critical data pipelines to enable decision-making across data science, growth, sales, marketing, and product teams. Requires 5+ years experience with scalable pipelines (preferably Airflow), Python, and advanced SQL.
Staff engineer builds and owns scalable data pipelines, backend services, and AI agents for MLS/property data platform, powering search, recommendations, and automation. Requires 10+ years experience with distributed systems, Python/Java, Kafka, Spark/Flink, and cloud infrastructure.
Build and scale data pipelines to process millions of user votes for AI model evaluation. Partner with researchers to deliver insights via dashboards, ensuring data quality and reliability in a fast-paced environment. Requires 5+ years in data engineering with big data tools.
Build core data infrastructure as the first Data Engineer, designing scalable warehouse/lakehouse, data pipelines, and models for KPIs and AI systems. Requires 3-5+ years experience with Python, SQL, and modern cloud data stack in startups.
Builds and scales data pipelines, models, and integrations to provide real-time insights for product, engineering, finance, and GTM teams. Requires 4+ years experience with SQL, Python/JavaScript, dbt/Airflow, and data architecture.
Lead enterprise data architecture strategy, designing scalable data warehouse and BI solutions across cloud platforms while establishing governance, quality, and AI/ML integration practices.
Build and scale data ingestion pipelines and connectors for enterprise SaaS apps, transform unstructured data for AI search and agents, ensure reliability and security at petabyte scale. Requires 3+ years backend/data infrastructure experience with distributed systems.
Builds and maintains scalable data pipelines for processing massive lead datasets and real-time intent signals. Owns data ingestion, modeling, ML dataset preparation, quality monitoring, and optimization in a fast-paced AI startup.
Owns full data stack including database architecture, ETL/ELT pipelines, integrations, and product/GTM reporting. Requires 4+ years experience, expert SQL/Python, ETL tools, data modeling, and statistics. Based in SF or NYC.
Leads design and implementation of scalable streaming data pipelines using Kafka, Flink, and Spark Streaming. Mentors engineers, ensures data quality and observability, with 10+ years experience including 4+ in real-time systems.
Build and scale data pipelines partnering with Data Science, Infrastructure, and business teams to deliver reliable data for metrics and self-serve reporting. Requires 4+ years experience, SQL/Python fluency, and familiarity with Snowflake, dbt, Dagster.
Designs and scales distributed data infrastructure for large-scale multimodal training and evaluation at OpenAI. Collaborates with researchers to build reliable, high-performance systems handling massive data volumes in a fast-paced environment.
Lead architecture of exabyte-scale distributed data systems that self-optimize via compression, metadata, and intelligent layouts to power efficient AI infrastructure. Requires deep expertise in distributed systems, low-level data representation, and leadership of large-scale production systems.
Build foundational data systems for AI at scale, including global metadata, adaptive engines, and intelligent data layouts using distributed systems, columnar formats, and languages like Java/Rust/Go/C++.
Designs and runs massive-scale data pipelines for ingestion, normalization, enrichment, and delivery across 80M+ companies and 800M+ people. Manages data operations, BPO vendors, partnerships, monitoring, and cost optimization using Python, Dagster, and DuckDB.
Build scalable data infrastructure to ingest and process millions of hardware telemetry data points per second. Requires 7+ years in data engineering, streaming systems like Flink/Kafka, databases like PostgreSQL/Druid, and languages like Go/Rust/Python.
Builds and modernizes data platform infrastructure handling billions of API calls using tools like Kinesis, S3, Athena, and Airflow. Collaborates with customers to incorporate feedback and requires experience with data stacks including Snowflake or Databricks.
Leads development of high-performance data lakes and ETL pipelines for petabyte-scale cyber operations data. Partners with engineers and analysts to build reliable data systems, drives technical initiatives, and mentors team members. Requires 8+ years experience and TS/SCI clearance.
Builds and maintains scalable data pipelines for ingestion, transformation, and reliability using SQL, Python, dbt, and Fivetran to support data science, engineering, and product teams. Requires proven data engineering experience with modern data stack tools.
Designs and implements dataset infrastructure for OpenAI's large-scale LLM training stack, including standardized APIs for multimodal data, scaling pipelines across GPU fleets, and performance debugging. Requires strong distributed systems experience and collaboration with researchers.
Develops and maintains safety data pipelines, dashboards, and AI-assisted triage processes for AV fleet data to support compliance and internal learnings. Requires 4+ years with large-scale datasets, Python/SQL expertise, and dashboard tools like Looker/Databricks.
Builds and scales data pipelines for video AI datasets, owning end-to-end projects from sourcing to delivery with ML filters and dashboards. Requires strong Python skills, clean code practices, and customer communication.
Build and maintain core data models, pipelines, and reporting infrastructure using modern data stack tools to enable decision-making across product, ops, and GTM teams. Requires 3-6 years of production data/analytics engineering experience and expert SQL.