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Senior Data Platform Engineer

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Truebill

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Location:
United States , San Francisco ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

160000.00 - 200000.00 USD / Year
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Job Description:

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

Job Responsibility:

  • Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance
  • Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs
  • Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates
  • Continuously improve failure rates for data sources by moving alerting “to the left”
  • Analyze patterns in how source data is generated, modeled, and consumed
  • Work with stakeholders to implement the best solution when new data sources are added
  • Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures
  • Document everything you build knowing that you're creating the foundation others will build upon
  • Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support
  • Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule
  • Automate aggressively and deliberately

Requirements:

  • 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment
  • Highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform)
  • Comfortable working with bash/shell scripting
  • 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation)
  • 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures
  • Successfully 'professionalized' data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms
  • Have a bias toward action and aren't paralyzed by imperfect solutions
  • Comfortable being the first person to tackle a problem
  • Take ownership seriously—not just of writing code, but of outcomes
  • Have strong opinions, weakly held
  • Understand that 'building from scratch' doesn't mean rejecting existing tools
  • Have experience making big changes to critical data infrastructure

Nice to have:

  • Led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation
  • Created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts)
  • Established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed
  • Expertise in cloud platforms and technologies analogous to our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms
What we offer:
  • Health, Dental & Vision Plans
  • Life Insurance
  • Long/Short Term Disability
  • Competitive Pay
  • 401k Matching
  • Team Member Stock Purchasing Program (TMSPP)
  • Learning & Development Opportunities
  • Tuition Reimbursement
  • Unlimited PTO
  • Daily Lunch, Snacks & Coffee (in-office only)
  • Commuter benefits (in-office only)
  • Bonus

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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