505 data pipeline engineer jobs at 310 companies in Mountain View, CA
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Data Pipeline Engineer
Redmond or Las Colinas or Fargo or Charlotte or San Francisco or New York City
$86k-$170k/yrHybridFull Time
MicrosoftNASDAQ: MSFT: Develops software, services, devices, and cloud computing solutions.
3+ YOEBachelor's degree in a technical field and 3+ years of relevant experience, or 5+ years of relevant experience. Requires SQL, Python or Scala, ETL/ELT, data modeling, cloud platforms, Microsoft Fabric, Spark, Kafka, and security screening.
SQL, Python, Scala, ETL, ELT, Airflow, Azure Data Factory, Microsoft Fabric, Spark, Kafka, Synapse, OneLake, Lakehouse, CI/CD, Azure Event Hubs, Azure SQL Managed Instances, Power BI Gateways, DataFlows
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
10+ YOE10+ years in data engineering/ML infrastructure, distributed systems expertise, Python and a systems language, experience with Ray or Spark, GPU inference optimization, large-scale databases and data curation for model training.
AVEVA: Industrial software for engineering and operational performance management.
3+ YOEBachelor's in a STEM field,minimum 3 years data engineering experience,proficiency with data pipelines,ETL/ELT,SQL,and cloud data platforms (Azure preferred).
Microsoft Azure, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Python, Spark, SQL
Sigma Computing: Cloud-native analytics platform featuring a spreadsheet-style interface.
3+ YOEDesign and manage Snowflake/Databricks data architecture, build and optimize ETL pipelines, deploy data governance, collaborate cross-functionally; 3+ years data engineering experience.
Bedrock Robotics: Automates heavy construction machinery with AI retrofit kits.
5+ YOE5+ years data engineering experience in large-scale data lake/warehouse environments; strong SQL and distributed query engine experience; pipeline orchestration (Airflow/Prefect) and Spark/Databricks experience; data quality and observability expertise.
Sakata Seed AmericaTokyo Stock Exchange: 1377: Breeding and distributing high-quality vegetable and flower seeds.
5+ YOEDesign and maintain scalable ETL/ELT pipelines, data models, and Microsoft Fabric solutions; strong SQL and Python skills; 5+ years data engineering experience; knowledge of data governance and monitoring.
Microsoft Fabric, Data Factory, Lakehouse, Warehouse, Dataflow Gen2, notebooks, semantic models, SQL Server, PostgreSQL, MySQL, SQL, Python, REST APIs, Spark
Premier Nutrition CompanyNYSE: BRBR: Produces and distributes protein-based nutritional beverages and supplements.
5+ YOEDesign and maintain cloud-native ELT/ETL pipelines and Snowflake data platforms; 5+ years data engineering experience; strong SQL and Python; experience with dbt, Fivetran, data integration and observability.
Fivetran, dbt, Python, Snowflake, Oracle, SQL Server, GitHub, GitLab, Airflow, Azure Data Factory, Dell Boomi, NetSuite, Oracle EPM, O9, Salesforce, Snowflake Cortex, MCP, Tableau, SAP BO, Oracle BI, Microsoft Power BI, Azure, AWS, GCP, SFTP
Gridmatic: AI-powered platform for optimizing energy trading and battery storage.
Experience building large-scale production data pipelines, designing storage and schema for timeseries and warehouse data, proficiency with DBT and data processing tools, strong software engineering skills, and startup experience.
Fluidstack: Provides high-performance cloud GPU infrastructure for AI development.
Experience building and operating production data pipelines, modeling messy domains into stable schemas, data quality engineering, extracting structure from unstructured sources, and shipping datasets with SLAs.
Mill: Provides smart kitchen bins that recycle food waste.
5+ YOE5+ years operating production data engineering systems; Python, dbt/Airflow/Fivetran experience; strong SQL and cloud data warehouse skills; recommendation systems and CI/CD for data pipelines; collaborative communication.
RADAR: Real-time inventory tracking using RFID and computer vision technology.
8+ YOE8+ years data/analytics engineering experience, strong SQL and Python, experience with batch and streaming pipelines, data modeling, data quality, testing, monitoring, and mentoring engineers.
11x: Builds autonomous AI agents for sales and revenue teams.
4+ YOE4+ years software or data engineering experience; building production data systems and pipelines; proficiency with Python and TypeScript; strong backend and systems-thinking skills; comfortable with ambiguity and AI tooling.
Python, TypeScript, ClickHouse, Airbyte, Claude Code, Codex, Cursor, CRM, Customer Data Platform (CDP)
CrewAI: Platform for orchestrating collaborative multi-agent AI systems.
Experienced data engineer to own data platform, build pipelines, define trusted metrics, improve instrumentation, and make data self-serve for product and go-to-market teams.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOE8+ years experience building data platforms and pipelines, strong SQL and Python, data modeling, data quality, cloud data platforms and analytics for engineering data.
Braintrust: Platform for evaluating and monitoring AI model performance.
10+ YOE10+ years in data engineering or related roles; deep SQL, data modeling, pipelines, orchestration, and production-grade code; experience across telemetry, CRM, billing, and operational systems; strong communication and AI experience.
PlusAI: AI-based virtual driver software for factory-built autonomous trucks.
1+ YOEMS in CS/Electrical or related, 1+ years software engineering, expertise in Python and SQL, experience with large-scale data processing (Spark, MapReduce, Kafka), AWS (S3, EC2, RDS), and building/maintaining data pipelines.
Waystation: AI-native procurement platform for consumer packaged goods.
8+ YOE8+ years building production data systems with hands-on early-stage startup experience; deep Python and SQL skills; experience with extraction, ML/NLP pipelines, and owning data models and pipelines.
SS&C TechnologiesNasdaq: SSNC: Provides software and technology for financial and healthcare sectors.
Experienced in data modeling, large-scale data pipelines, ETL/ELT, Python and PySpark, machine learning/NLP, data warehousing, and collaboration across engineering and product teams.