Senior Data Engineer

RunPod
San Francisco, United States
Workplace: RemoteFull timeUSD 175,000 - 220,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 4+ yearsEducation: mastersSkills: ["Ownership","Proactive","Cross-functional collaboration","Communication","Mentoring"]

Design and implement scalable data pipelines and a modern data warehousing foundation to power enterprise analytics. Ensure reliable ETL for high-volume real-time and batch workflows, and help meet SOC2 security and compliance needs. Partner with analytics and finance to support key business metrics, collaborate with data science/ML to enable insight generation with LLMs, and mentor engineers on the data team.

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FursaFursa
RunPod
RunPod
21 hours ago

Senior Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design and implement scalable data pipelines and a modern data warehousing foundation to power enterprise analytics. Ensure reliable ETL for high-volume real-time and batch workflows, and help meet SOC2 security and compliance needs. Partner with analytics and finance to support key business metrics, collaborate with data science/ML to enable insight generation with LLMs, and mentor engineers on the data team.
Location: San Francisco, United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead design and development of data pipelines to ingest, aggregate, and index diverse sources into the data warehouse.
  • •Develop and maintain a data warehousing platform aligned with SOC2 security and compliance requirements.
  • •Collaborate with data analytics to ensure reporting and analysis of key business metrics.
  • •Partner with data science/ML to build scalable capabilities for insight generation and leveraging LLMs.
  • •Mentor and coach engineers on the data team to build a culture of data excellence and innovation.

Pay and Benefits

Salary: USD 175,000 - 220,000 annually
Equity and Bonus:Equity
Perks:EquityRemote WorkPaid LeaveHome Office

Key Requirements

  • •4+ years building and implementing large-scale enterprise data solutions.
  • •2+ years with modern data platforms such as Databricks, Snowflake, and Redshift, including architectural principles.
  • •2+ years designing and optimizing high-volume, real-time and batch ETL pipelines.
  • •1+ years coaching and mentoring team members, using constructive feedback and support.
  • •Advanced degree in Statistics, Computer Science, Mathematics (or related) or relevant industry experience.
Experience:4+ yearsEnterprise data solutionsStartupData warehousingETLReal-time data
Education:Master's in Statistics, Computer Science, Mathematics, or related field
Skills:OwnershipProactiveCross-functional collaborationCommunicationMentoring
Tech Stack:DagsterDbtPlanetscaleTinybirdSnowflakeSOC2DatabricksRedshiftETLData warehousing

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

RunPod
Provides on-demand GPU cloud and marketplace services for machine learning workloads, offering rentable GPU instances, scalable compute for training and inference, and tools to run ML jobs cost-effectively without long-term commitments.
Industry: Cloud Computing
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