Architects scalable data systems and platforms using distributed technologies like Spark, Kafka, and AWS. Mentors engineers and drives innovation on large-scale data projects, requiring 8+ years experience and expertise in data infrastructure.
Builds and owns C++-based perception data infrastructure for autonomous vehicles, handling massive 3D sensor data (Lidar, Camera, Radar), validation, and ML pipelines. Requires 4+ years experience, C++ fluency, Python, and systems engineering in ambiguous robotics environments.
Builds and maintains scalable data pipelines, infrastructure, and tooling for batch/streaming processing, ML workflows, and analytics. Requires 3-7+ years in data infrastructure with expertise in Spark, Kafka, dbt, Airflow, and cloud platforms.
Lead the design and build of data warehouse architecture, ETL/ELT pipelines, and business data models for a high-growth SaaS company. Partner with cross-functional teams to enable self-serve analytics using modern data stack tools like Snowflake, dbt, and Airflow.
New grad software engineer building data infrastructure for high-volume hardware testing systems like rockets and aircraft. Requires strong fundamentals from internships/projects; full-time for Spring 2026 graduates.
Leads design of shared data models, standardizes analytics pipelines, and modernizes orchestration for Dropbox's analytics platform. Requires 12+ years in data engineering, expertise in SQL/Python/Airflow/dbt, and cross-team leadership.
Builds and maintains scalable data models and pipelines using Snowflake, dbt, and Databricks to support analytics for patient intake funnel. Leads BI solutions, self-service tools, and best practices with 5+ years experience, advanced SQL, and cross-functional collaboration.
Builds and scales data pipelines for video generation models, including ingestion, annotation via MTurk/Prolific, preprocessing, and curation using Python, AWS, Kubernetes. Requires 3+ years in ML/data engineering, PyTorch experience, and cross-functional collaboration.
Build scalable data platform backend systems using Golang/Python to support AI-driven healthcare solutions. Requires 6+ years backend experience, expertise in Kubernetes, cloud platforms, ETL, and data orchestration tools.
Senior individual contributor leading data architecture for Snowflake's internal data platform. Defines standards in dbt modeling, RBAC, and AI tooling; partners with product teams and represents capabilities externally. Requires 8+ years experience with deep Snowflake and dbt expertise.
Builds and owns canonical data models in Snowflake and dbt transformation layer to serve as company-wide source of truth for AI tools and teams across Finance, Marketing, Sales, Product, and Data Science. Requires 6+ years data engineering with strong SQL and Snowflake expertise.
Build and scale production data pipelines using Python, Spark, and Airflow to transform raw healthcare data into trusted datasets powering ML models, dashboards, and customer onboarding. Requires 6+ years experience with strong expertise in data engineering tools and cross-team collaboration.
Leads design and implementation of scalable security data pipelines and API-first services to deliver real-time security telemetry for enterprise customers. Requires 8+ years in data engineering, distributed systems, and languages like Java, C++, or Rust.
Owns end-to-end data strategy including sourcing, curating, and structuring multimodal data (text, video, images) for AI model training. Requires strong Python, SQL, large-scale processing, and ML-first mindset with LLM experience.
Designs and builds scalable batch/streaming data pipelines for identity verification products, owning end-to-end data initiatives using cloud-native tech. Requires 5+ years data engineering with Spark, AWS, Python/SQL; streaming/orchestration experience preferred.
Leads architecture and implementation of healthcare payer data integrations (EDI X12, HL7/FHIR) and scalable pipelines for AI/ML systems. Requires 5+ years data engineering experience with payer data and team leadership.
Leads development and architecture of client-facing data platform using Palantir Foundry in a low/no-code environment. Collaborates with Product and Design teams, applies software engineering best practices, and requires 7+ years experience with bachelor's in quantitative field.
Build distributed data storage and processing systems for big data workloads including Apache Spark, Delta Lake, and performance optimization. Requires 5+ years in Java/Scala/C++, strong algorithms knowledge, and distributed systems experience.
Builds and owns scalable SQL/Python data pipelines, golden datasets, and workflows using DBT, Airflow, Redshift for large-scale data (500TB+). Collaborates cross-functionally to enable data-driven decisions at Plaid. Requires 4+ years data engineering experience.
Builds and scales data infrastructure including warehouses, lakehouses, Spark pipelines, streaming, and orchestration to enable data-driven decisions and ML at Plaid. Requires 5+ years experience in data platforms, strong system design, and leadership.
Designs and maintains near real-time data streaming platforms, data pipelines, and event-driven architectures. Requires advanced Python, SQL expertise, and 3+ years in software engineering focused on data systems.
Staff Software Engineer designs and builds scalable data platforms for ads, ensuring data compliance, integrity, and self-service capabilities. Requires 8+ years experience with expertise in Spark, ETL, SQL, distributed systems, and big data infrastructure.
Owns the data platform powering AI-driven healthcare automation, designing core data models, building compliant data layers for AI agents, and ensuring scalability and reliability on AWS, Postgres, and Python stack. Requires 5+ years backend/data infra experience and deep relational DB expertise.
Builds and scales internal data platform by designing data models, pipelines, and analytics infrastructure to transform raw product/business data into reliable datasets for company-wide decision-making. Partners with stakeholders across Product, Engineering, Finance, Marketing, and Sales.
Own and evolve the core data platform powering Plenful’s AI automation engine. Design data models, contracts, and infrastructure for a regulated healthcare domain with 12+ years of backend/data experience.
Leads architecture, execution, and improvement of data collection/evaluation pipelines for AI labs, including agentic automation for quality and delivery. Requires Python/SQL proficiency, LLM internals knowledge, and hands-on agent framework experience.
Designs and operates medallion data warehouse (bronze/silver/gold) for product, usage, and billing data. Builds Airflow pipelines, dbt transformations, and analytics models using SQL, Python, and Spark while leading data governance and quality.
Build scalable data infrastructure and analytics pipelines to drive business growth, user personalization, and strategic decisions in sleep fitness technology. Requires 6+ years experience with SQL, Python, DBT, Snowflake, and data architecture expertise.
Builds and maintains data pipelines and privacy-preserving infrastructure for AI economic impact research. Collaborates with researchers and economists using Python, cloud platforms, and LLMs to support scalable economic analysis.
Builds infrastructure and tools for Ramp's Analytics and Machine Learning Platforms, supporting data science lifecycle. Partners with AI and ML engineers; requires Python, workflow orchestrators, cloud platforms, and SQL expertise.
Builds and operates petabyte-scale data platform infrastructure using Kafka, Spark, Flink, and Trino to power real-time ML pipelines and analytics. Requires expertise in distributed systems, stream processing, and systems languages like Rust, Go, or Scala.
Builds and scales reliable data pipelines and infrastructure using AWS and tools like Spark, Kafka, and dbt. Collaborates with teams to deliver data solutions, mentors engineers, and drives data architecture strategy. Requires 6+ years experience.
Build and scale data ingestion infrastructure and EHR integrations to power healthcare products, ensuring reliability for thousands of patients. Requires 5+ years in production systems, 3+ in data platforms, and expertise in Python, AWS, SQL, and big data tools like Spark and Kafka.
Designs and builds scalable ETL/ELT pipelines to harmonize data from ERP systems like SAP, Oracle, and NetSuite into unified models. Requires 5+ years in data engineering, advanced SQL/Python, and ERP data expertise for cross-system integration.
Leads geological modeling, resource development, and mine geology support for nickel and copper projects in open pit and underground operations. Provides technical inputs to mine planning and ensures compliance with reporting standards like NI 43-101 and JORC.
Leads enterprise data architecture strategy, designs multi-cloud integrations, Master Data Management, and AI-enabled data quality frameworks. Requires 7+ years in data architecture/engineering and expertise in modern data platforms.
Build and evolve the Data Intelligence Platform powering AI and agentic features. Partner with Data Science and Product teams on pipelines, autonomous agents, and scalable data infrastructure. Requires 5+ years experience in data/AI engineering.
Senior Data Engineer leads data stack evolution, building scalable pipelines and infrastructure for analytics, reporting, and self-serve tools using Snowflake, dbt, AWS. Requires 7+ years experience, BS/MS, expertise in SQL, Python, orchestration tools.
Builds and stewards scalable data infrastructure including BigQuery and dbt pipelines on GCP, enabling self-service analytics for cross-functional teams while optimizing costs and ensuring data quality.
Lead design and implementation of scalable identity resolution and data governance platforms. Build pipelines for identity data management, ensure privacy compliance, and partner with teams to deliver reliable data services. Requires 5+ years Spark/Scala experience.
Senior Data Engineer builds scalable data infrastructure using Spark, Scala, and AWS. Evolves pipelines for growth, collaborates cross-functionally, and optimizes data storage. Requires production experience, proficiency in key tools, and bachelor's degree.
Leads design and implementation of scalable data pipelines using dbt, Airflow, and SQL. Mentors data engineers, optimizes AWS infrastructure with Terraform, and builds integrations with MySQL/SQL Server/OLAP for analytics. Requires strong SQL/Python and production pipeline expertise.
Designs and evolves scalable Iceberg-based lakehouse architecture, metadata governance, and security controls for analytics, product, and AI systems. Requires 12+ years experience with Python, SQL, Airflow, and major cloud platforms.
Develops and maintains software for NCBI's biomedical databases like PubMed and GenBank, implementing bioinformatic algorithms and cloud pipelines for large-scale genetic data. Requires Python proficiency, SQL expertise, Linux scripting, and experience with big data handling.
Staff Data Engineer architects scalable data infrastructure, leads ETL/ELT pipelines and data modeling using Snowflake, dbt, Airflow, and Python. Requires 9+ years experience, mentoring skills, and marketplace background.
Lead data engineer building ETL processes, data models, and warehouses using AWS, Redshift, PostgreSQL, and Kubernetes. Requires 8+ years experience, bachelor's degree, Python proficiency, and Agile expertise for analytics and reporting.
Builds scalable data infrastructure for drone telemetry ingestion, transformation, and analysis using Databricks and Palantir Foundry. Enables AI-driven insights, predictive models, and self-serve analytics for autonomy teams. Requires 5+ years experience with data engineering and software skills.
Senior Software Engineer on the Product Data Platform team builds and optimizes high-performance data, query, and search infrastructure for scalable backend systems. Requires 7+ years experience with relational databases like Postgres, JVM languages, and distributed systems expertise.
Senior Software Engineer on Product Data Platform builds and optimizes high-performance data infrastructure, distributed systems, and AI-powered products using JVM technologies. Requires 7+ years backend experience with deep relational database expertise.
Build scalable data pipelines and integrations for an AI-powered financial operating system in healthcare. Requires 5+ years data engineering experience with Python, distributed systems, AI pipelines, and big data technologies; NYC-based hybrid role.
Architects scalable data systems and platforms using distributed technologies like Spark, Kafka, and AWS. Mentors engineers and drives innovation on large-scale data projects, requiring 8+ years experience and expertise in data infrastructure.
Builds and owns C++-based perception data infrastructure for autonomous vehicles, handling massive 3D sensor data (Lidar, Camera, Radar), validation, and ML pipelines. Requires 4+ years experience, C++ fluency, Python, and systems engineering in ambiguous robotics environments.
Builds and maintains scalable data pipelines, infrastructure, and tooling for batch/streaming processing, ML workflows, and analytics. Requires 3-7+ years in data infrastructure with expertise in Spark, Kafka, dbt, Airflow, and cloud platforms.
Lead the design and build of data warehouse architecture, ETL/ELT pipelines, and business data models for a high-growth SaaS company. Partner with cross-functional teams to enable self-serve analytics using modern data stack tools like Snowflake, dbt, and Airflow.
New grad software engineer building data infrastructure for high-volume hardware testing systems like rockets and aircraft. Requires strong fundamentals from internships/projects; full-time for Spring 2026 graduates.
Leads design of shared data models, standardizes analytics pipelines, and modernizes orchestration for Dropbox's analytics platform. Requires 12+ years in data engineering, expertise in SQL/Python/Airflow/dbt, and cross-team leadership.
Builds and maintains scalable data models and pipelines using Snowflake, dbt, and Databricks to support analytics for patient intake funnel. Leads BI solutions, self-service tools, and best practices with 5+ years experience, advanced SQL, and cross-functional collaboration.
Builds and scales data pipelines for video generation models, including ingestion, annotation via MTurk/Prolific, preprocessing, and curation using Python, AWS, Kubernetes. Requires 3+ years in ML/data engineering, PyTorch experience, and cross-functional collaboration.
Build scalable data platform backend systems using Golang/Python to support AI-driven healthcare solutions. Requires 6+ years backend experience, expertise in Kubernetes, cloud platforms, ETL, and data orchestration tools.
Senior individual contributor leading data architecture for Snowflake's internal data platform. Defines standards in dbt modeling, RBAC, and AI tooling; partners with product teams and represents capabilities externally. Requires 8+ years experience with deep Snowflake and dbt expertise.
Builds and owns canonical data models in Snowflake and dbt transformation layer to serve as company-wide source of truth for AI tools and teams across Finance, Marketing, Sales, Product, and Data Science. Requires 6+ years data engineering with strong SQL and Snowflake expertise.
Build and scale production data pipelines using Python, Spark, and Airflow to transform raw healthcare data into trusted datasets powering ML models, dashboards, and customer onboarding. Requires 6+ years experience with strong expertise in data engineering tools and cross-team collaboration.
Leads design and implementation of scalable security data pipelines and API-first services to deliver real-time security telemetry for enterprise customers. Requires 8+ years in data engineering, distributed systems, and languages like Java, C++, or Rust.
Owns end-to-end data strategy including sourcing, curating, and structuring multimodal data (text, video, images) for AI model training. Requires strong Python, SQL, large-scale processing, and ML-first mindset with LLM experience.
Designs and builds scalable batch/streaming data pipelines for identity verification products, owning end-to-end data initiatives using cloud-native tech. Requires 5+ years data engineering with Spark, AWS, Python/SQL; streaming/orchestration experience preferred.
Leads architecture and implementation of healthcare payer data integrations (EDI X12, HL7/FHIR) and scalable pipelines for AI/ML systems. Requires 5+ years data engineering experience with payer data and team leadership.
Leads development and architecture of client-facing data platform using Palantir Foundry in a low/no-code environment. Collaborates with Product and Design teams, applies software engineering best practices, and requires 7+ years experience with bachelor's in quantitative field.
Build distributed data storage and processing systems for big data workloads including Apache Spark, Delta Lake, and performance optimization. Requires 5+ years in Java/Scala/C++, strong algorithms knowledge, and distributed systems experience.
Builds and owns scalable SQL/Python data pipelines, golden datasets, and workflows using DBT, Airflow, Redshift for large-scale data (500TB+). Collaborates cross-functionally to enable data-driven decisions at Plaid. Requires 4+ years data engineering experience.
Builds and scales data infrastructure including warehouses, lakehouses, Spark pipelines, streaming, and orchestration to enable data-driven decisions and ML at Plaid. Requires 5+ years experience in data platforms, strong system design, and leadership.
Designs and maintains near real-time data streaming platforms, data pipelines, and event-driven architectures. Requires advanced Python, SQL expertise, and 3+ years in software engineering focused on data systems.
Staff Software Engineer designs and builds scalable data platforms for ads, ensuring data compliance, integrity, and self-service capabilities. Requires 8+ years experience with expertise in Spark, ETL, SQL, distributed systems, and big data infrastructure.
Owns the data platform powering AI-driven healthcare automation, designing core data models, building compliant data layers for AI agents, and ensuring scalability and reliability on AWS, Postgres, and Python stack. Requires 5+ years backend/data infra experience and deep relational DB expertise.
Builds and scales internal data platform by designing data models, pipelines, and analytics infrastructure to transform raw product/business data into reliable datasets for company-wide decision-making. Partners with stakeholders across Product, Engineering, Finance, Marketing, and Sales.
Own and evolve the core data platform powering Plenful’s AI automation engine. Design data models, contracts, and infrastructure for a regulated healthcare domain with 12+ years of backend/data experience.
Leads architecture, execution, and improvement of data collection/evaluation pipelines for AI labs, including agentic automation for quality and delivery. Requires Python/SQL proficiency, LLM internals knowledge, and hands-on agent framework experience.
Designs and operates medallion data warehouse (bronze/silver/gold) for product, usage, and billing data. Builds Airflow pipelines, dbt transformations, and analytics models using SQL, Python, and Spark while leading data governance and quality.
Build scalable data infrastructure and analytics pipelines to drive business growth, user personalization, and strategic decisions in sleep fitness technology. Requires 6+ years experience with SQL, Python, DBT, Snowflake, and data architecture expertise.
Builds and maintains data pipelines and privacy-preserving infrastructure for AI economic impact research. Collaborates with researchers and economists using Python, cloud platforms, and LLMs to support scalable economic analysis.
Builds infrastructure and tools for Ramp's Analytics and Machine Learning Platforms, supporting data science lifecycle. Partners with AI and ML engineers; requires Python, workflow orchestrators, cloud platforms, and SQL expertise.
Builds and operates petabyte-scale data platform infrastructure using Kafka, Spark, Flink, and Trino to power real-time ML pipelines and analytics. Requires expertise in distributed systems, stream processing, and systems languages like Rust, Go, or Scala.
Builds and scales reliable data pipelines and infrastructure using AWS and tools like Spark, Kafka, and dbt. Collaborates with teams to deliver data solutions, mentors engineers, and drives data architecture strategy. Requires 6+ years experience.
Build and scale data ingestion infrastructure and EHR integrations to power healthcare products, ensuring reliability for thousands of patients. Requires 5+ years in production systems, 3+ in data platforms, and expertise in Python, AWS, SQL, and big data tools like Spark and Kafka.
Designs and builds scalable ETL/ELT pipelines to harmonize data from ERP systems like SAP, Oracle, and NetSuite into unified models. Requires 5+ years in data engineering, advanced SQL/Python, and ERP data expertise for cross-system integration.
Leads geological modeling, resource development, and mine geology support for nickel and copper projects in open pit and underground operations. Provides technical inputs to mine planning and ensures compliance with reporting standards like NI 43-101 and JORC.
Leads enterprise data architecture strategy, designs multi-cloud integrations, Master Data Management, and AI-enabled data quality frameworks. Requires 7+ years in data architecture/engineering and expertise in modern data platforms.
Build and evolve the Data Intelligence Platform powering AI and agentic features. Partner with Data Science and Product teams on pipelines, autonomous agents, and scalable data infrastructure. Requires 5+ years experience in data/AI engineering.
Senior Data Engineer leads data stack evolution, building scalable pipelines and infrastructure for analytics, reporting, and self-serve tools using Snowflake, dbt, AWS. Requires 7+ years experience, BS/MS, expertise in SQL, Python, orchestration tools.
Builds and stewards scalable data infrastructure including BigQuery and dbt pipelines on GCP, enabling self-service analytics for cross-functional teams while optimizing costs and ensuring data quality.
Lead design and implementation of scalable identity resolution and data governance platforms. Build pipelines for identity data management, ensure privacy compliance, and partner with teams to deliver reliable data services. Requires 5+ years Spark/Scala experience.
Senior Data Engineer builds scalable data infrastructure using Spark, Scala, and AWS. Evolves pipelines for growth, collaborates cross-functionally, and optimizes data storage. Requires production experience, proficiency in key tools, and bachelor's degree.
Leads design and implementation of scalable data pipelines using dbt, Airflow, and SQL. Mentors data engineers, optimizes AWS infrastructure with Terraform, and builds integrations with MySQL/SQL Server/OLAP for analytics. Requires strong SQL/Python and production pipeline expertise.
Designs and evolves scalable Iceberg-based lakehouse architecture, metadata governance, and security controls for analytics, product, and AI systems. Requires 12+ years experience with Python, SQL, Airflow, and major cloud platforms.
Develops and maintains software for NCBI's biomedical databases like PubMed and GenBank, implementing bioinformatic algorithms and cloud pipelines for large-scale genetic data. Requires Python proficiency, SQL expertise, Linux scripting, and experience with big data handling.
Staff Data Engineer architects scalable data infrastructure, leads ETL/ELT pipelines and data modeling using Snowflake, dbt, Airflow, and Python. Requires 9+ years experience, mentoring skills, and marketplace background.
Lead data engineer building ETL processes, data models, and warehouses using AWS, Redshift, PostgreSQL, and Kubernetes. Requires 8+ years experience, bachelor's degree, Python proficiency, and Agile expertise for analytics and reporting.
Builds scalable data infrastructure for drone telemetry ingestion, transformation, and analysis using Databricks and Palantir Foundry. Enables AI-driven insights, predictive models, and self-serve analytics for autonomy teams. Requires 5+ years experience with data engineering and software skills.
Senior Software Engineer on the Product Data Platform team builds and optimizes high-performance data, query, and search infrastructure for scalable backend systems. Requires 7+ years experience with relational databases like Postgres, JVM languages, and distributed systems expertise.
Senior Software Engineer on Product Data Platform builds and optimizes high-performance data infrastructure, distributed systems, and AI-powered products using JVM technologies. Requires 7+ years backend experience with deep relational database expertise.
Build scalable data pipelines and integrations for an AI-powered financial operating system in healthcare. Requires 5+ years data engineering experience with Python, distributed systems, AI pipelines, and big data technologies; NYC-based hybrid role.