96 redshift data engineer jobs at 69 companies in South San Francisco, CA
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Sr. Data Engineer
Palo Alto, California, United States
$145k-$220k/yrRemoteFull Time
Allocate: A fintech providing a data-rich platform for discovering, modeling, and managing private market investments.
5+ YOE5+ years data engineering experience; strong AWS (S3, EC2, EKS, Redshift, Glue, Athena) and cloud skills; SQL, Python, data modeling, ETL/ELT, and pipeline production experience; familiarity with vector DBs and ML data workflows.
Whop: Online marketplace for digital goods and memberships.
3+ YOE3+ years in data/analytics engineering; deep SQL and Python; experience with dbt and BigQuery (Snowflake/Redshift acceptable); GitHub and CI/CD practices; defining financial metrics and resolving multi-system data inconsistencies.
Seattle or Boston or Bellevue or Arlington or San Francisco
OnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
3+ YOE3+ years data engineering; AWS stack; data modeling/ETL; programming in Python/Java/Scala/NodeJS; experience with Redshift/S3/Glue/EMR/Kinesis/Lambda; non-relational data stores.
OpenAI: Develops artificial intelligence models and generative AI software services.
5+ YOE5+ years building production data pipelines; strong SQL; Python; experience with Snowflake/BigQuery/Redshift and Airflow/Dagster; ETL/ELT design; data quality, lineage, and observability experience.
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.
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.
LendingClubNYSE: LC: Digital marketplace bank providing personal loans and banking services.
8+ YOE2+ Mgmt8+ years data engineering experience with 2+ years technical lead experience; strong SQL, data modeling, ETL, orchestration, Spark, AWS, modern data platforms, and experience applying AI tools to engineering workflows.
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.
Sapiom: Financial infrastructure for autonomous AI agents.
5+ YOE5+ years building production data pipelines; hands-on SQL, Python, Spark, AWS Glue, EMR, DBT, Airflow; 3+ years with MPP databases (Snowflake/Redshift/Teradata); on-call experience and strong cross-team communication.
Front: Customer operations platform for collaborative team communication.
5+ YOE5+ years data engineering/ETL experience, Snowflake, advanced SQL and Python, experience with big data technologies and workflow tools, BS/BA or equivalent, strong stakeholder collaboration and AI fluency.
Denver or New York City or San Francisco or Los Angeles or Seattle or San Jose or Scottsdale
$155k-$220k/yrHybridFull Time
Gusto: Cloud-based payroll and HR software for small businesses.
8+ YOE8–10+ years in data engineering; SQL and Python, Scala, or Java; scalable pipelines, ETL, dbt, data modeling, cloud platforms, CI/CD, testing, observability, monitoring, and incident response.
Metriport: Provides an open-source API for healthcare data interoperability.
6+ YOE6+ years data engineering experience building and scaling pipelines; experience across ingestion, storage, processing, warehousing; production coding in TypeScript/Python; mentoring experience; located in or willing to relocate to San Francisco Bay Area.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
5+ YOEBachelor's or equivalent experience, 5+ years big data engineering, strong Python/Scala/SQL, Spark/Presto/Hive, Databricks and cloud MPP databases, Airflow, AWS S3, CI/CD, on-call and production operations experience.
DocuSignNASDAQ: DOCU: Provides electronic signature and agreement management software solutions.
8+ YOEBachelor's degree required; 8+ years experience in dimensional/relational data modeling, strong SQL and data pipeline skills in Python or Java, experience with cloud data platforms, ETL tools, and data architecture.
Runpod: Cloud platform for AI training and model deployment.
4+ YOE1+ MgmtRequires 4+ years designing enterprise data solutions, 2+ years with modern data platforms and ETL pipelines, 1+ year mentoring, excellent communication, and advanced education or relevant industry experience.
DocuSignNASDAQ: DOCU: Provider of e-signature and intelligent agreement management software.
8+ YOEBachelor's in CS or related field, 8+ years dimensional/relational modeling, experience building data pipelines (Python or Java), strong SQL and data warehouse experience (Snowflake), ETL and cloud tool experience.
Whop: A marketplace platform for selling digital products and memberships.
3+ YOERequires 3+ years in data or analytics engineering, advanced SQL and Python, modern warehouse and transformation tools, financial metrics expertise, GitHub, CI/CD, testing, documentation, and strong communication.
San Francisco or New York City or Los Angeles or Seattle
$180k-$260k/yrRemoteFull Time
Whatnot: Social marketplace for buying and selling via live streams
5+ YOE5+ years building data warehouses or distributed/event-driven systems; skilled with data modeling, modern data tooling, cloud warehouses, Python/SQL, and cross-functional partnership.
Kafka, Debezium, dbt, Spark, Flink, Dagster, Airflow, Monte Carlo, Great Expectations, Snowflake, BigQuery, Redshift, Python, SQL, CI/CD
Anthropic: Developing safe and reliable artificial intelligence systems.
Proficiency in SQL and Python; experience building ETL/ELT pipelines, cloud data platforms, modern data stack tooling, and dashboards for large-scale safety and monitoring data.
Broccoli: AI agents for home service business front-office operations.
4+ YOERequires 4–8+ years in data or analytics engineering, production pipeline ownership, strong SQL and Python, ETL and orchestration experience, and data modeling expertise. ClickHouse or comparable warehouse experience preferred.