194 large model data engineer jobs at 126 companies in United States
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Senior Data Engineer- Large Driving Model, Autonomy
Palo Alto, California, United States
$179k-$224k/yrOnsiteFull Time
RivianNASDAQ: RIVN: Electric adventure vehicle and technology manufacturer.
5+ YOEB.S./M.S. in CS/data/engineering, 5+ years as a data/ML/motion planning engineer in autonomous driving or robotics; advanced Python and SQL; experience with Spark or Ray, cloud infrastructure, dataset curation, large-scale sensor data, and production-grade data pipelines.
Credigy: Privately held B2B specialty finance financing consumer-related assets for financial institutions.
2+ YOE2+ years in data engineering/analytics/ModelOps, strong SQL and Snowflake experience, programming in Python/SAS/R, experience with large datasets, data governance, pipeline orchestration; Bachelor’s in a quantitative field or equivalent.
Buffalo or Baltimore or Bridgeport or New York City or Iselin or Boston or Wilmington or Washington
$124k-$206k/yrHybridFull Time
M&T BankNYSE: MTB: A diversified financial services providing banking and wealth management.
6+ YOEBachelor's degree plus 6+ years quantitative behavioral modeling experience (or 10 years combined education/work), 6+ years with SAS/Python/Stata/R and SQL Server, experience with large datasets, model development, validation and regulatory controls, plus mentoring ability.
SAS, Python, Stata, R, SQL Server Management Studio
Team Velocity Marketing: Private automotive marketing technology agency providing customer-experience software and digital advertising to auto dealerships.
7+ YOE7+ years data or software engineering experience; strong SQL, Python, Snowflake; experience building large ELT/ETL pipelines, data modeling, data quality, and stakeholder communication.
GeminiNasdaq: GEMI: Publicly traded cryptocurrency exchange and custodian serving retail and institutional users.
5+ YOE5+ years data engineering experience, strong Python and SQL, ETL/ELT and data pipeline design, experience with large-scale warehouses and streaming systems, data modeling and governance knowledge.
Analog DevicesNASDAQ: ADI: Global leader in analog and digital semiconductor technology.
5+ YOEBachelor’s degree in a technical field and 5+ years leading large-scale data engineering, governance, and MDM initiatives; experience with cloud platforms, data pipelines, AI/ML, data modeling, and cross-functional leadership.
Prodege: Private consumer marketing and insights platform serving brands, marketers, agencies, and online consumers.
5+ YOE5+ years data engineering experience building large-scale batch and streaming pipelines; strong SQL, Python, Snowflake, dbt; expertise in data modeling, governance, observability, and ML feature pipelines.
The Walt Disney CompanyNYSE: DIS: A leading global entertainment and media conglomerate.
5+ YOE5+ years data engineering experience building large data pipelines; strong SQL, Python/PySpark; experience with Snowflake/Redshift, Databricks, Spark, Airflow, AWS; data modeling and performance tuning; Bachelor's degree or equivalent.
OpenAI: AI research and deployment focused on beneficial AGI.
Deep production data platform experience; proficiency in large-scale pipeline architecture and Python, Java, or Scala; strong data modeling, architecture, distributed systems, software engineering, quality, observability, and cross-functional delivery skills.
Outmarket AI: AI software platform for insurance brokerages, MGAs, wholesalers, and carriers, automating commercial insurance workflows.
2+ YOE2+ years building production data pipelines with strong SQL and Python; experience with relational modeling (Postgres), large analytical datasets, data quality and observability, and ownership in fast-moving environments.
AmazonNASDAQ: AMZN: Multinational technology focused on e-commerce and cloud computing.
3+ YOE3+ years data engineering experience building and operating large-scale ETL/ELT and SQL-based data structures; experience with data modeling, warehousing, and collaboration with Data Science and ML teams.
Absolute Business Solutions Corp: Delivering Technology Enabled Solutions to Continuously Advance Intelligence
12+ YOEActive TS/SCI clearance, 10+ years data engineering experience, expertise with Elasticsearch/graph databases, Kubernetes, Python or Java, large-scale ETL, and data modeling for hierarchical datasets.
General MotorsNYSE: GM: Designing, building, and selling the world's best vehicles.
8+ YOEBachelor's degree or equivalent experience; 12+ years industry experience, 8+ years in data engineering, large-scale cloud platforms, batch and streaming pipelines, data modeling, ML literacy, and LangGraph, AutoGen, Semantic Kernel, or LlamaIndex.
Team Center, Python, Scala, Java, LangGraph, AutoGen, Semantic Kernel, LlamaIndex, LLMs, ML
Credit Karma: Personal finance platform helping consumers monitor credit, compare financial products, manage money and file taxes.
10+ YOEBachelor's in CS/Engineering,10+ years in software/data engineering,proficiency in Python/Java/Scala and SQL,experience building large-scale data pipelines and data models with modern data technologies.
Python, Java, Scala, SQL, Google Dataflow, BigQuery, Airflow/Composer, Spark, Flink
KLS Martin Group: Privately held German medical-device manufacturer supplying surgical implants, instruments, electrosurgery, lasers, lights, trays, and storage worldwide.
6+ YOEBachelor's degree and 6+ years in data engineering or related field; expertise in dimensional modeling, ETL/ELT, cloud data warehouses, SQL and Python/Scala; experience with governance and large-scale data pipelines.
H-E-B: Texas-based retail grocery and food supply chain.
Related degree or equivalent training, certification, or experience; data engineering, team leadership, large-scale infrastructure, large datasets, mission-critical SLA, Agile, data architecture, modeling, and machine learning knowledge.
DailyPay: Private U.S. fintech providing employer-sponsored earned wage access and financial wellness tools to American workers.
4+ YOERequires 4+ years of expert SQL experience, data architecture and cloud platform experience, large-scale data modeling, MPP warehouses, ETL and BI tools. Python, dbt, CI/CD, Airflow, and financial data experience are preferred.
OXIO: Technology providing a cloud-native Telecom-as-a-Service platform for brands, enterprises, mobile operators, and MVNOs.
7+ YOE7+ years building large-scale data platforms; strong SQL, Python, Spark; experience with dbt and cloud data warehouses (Snowflake/BigQuery/Redshift); knowledgeable in dimensional modeling, ETL/ELT, observability, and AWS.
CapgeminiEuronext Paris: CAP: Global leader in consulting, digital transformation, and engineering services.
3+ YOERequires 3–6 years in data engineering, SQL and programming proficiency, ETL experience with Informatica, database and data modeling knowledge, cloud experience, and large dataset expertise.
SQL, Python, Informatica, Java, .NET, Microsoft Azure
8+ YOE8+ years building production data systems with architecture ownership; expert SQL, strong Python; deep experience in modern lakehouse/warehouse stacks, data modeling, pipeline orchestration, large-scale processing, cloud platforms, and regulated-data practices.
SQL, Python, Snowflake, dbt, Fivetran, Databricks, Spark, Delta Lake, Unity Catalog, Airflow, Dagster, Prefect, Kafka, Kinesis, Flink, Snowflake Horizon, Monte Carlo, Great Expectations, OpenLineage, MLflow, AWS, GCP, Azure, PCI DSS