Rocket Money · 13 hours ago
Senior Data Engineer, Data Platform
DC-Baltimore Area
Full-time
Hybrid
Senior Level
$160K/yr - $200K/yr
6+ years expRocket Money is dedicated to enhancing the financial well-being of millions through innovative financial services. The Senior Data Engineer for the Data Platform will own and enhance the data infrastructure, collaborating with various engineering teams to ensure optimal performance and usability of the platform.
Financial Services
Responsibilities
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'; i.e. catching and quarantining bugs/failures as close to the source as possible
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. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality
Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform
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; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering
Qualification
Required
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
Ability to articulate what 'production-ready' means in a data context
Bias toward action and not paralyzed by imperfect solutions
Comfortable being the first person to tackle a problem
Ability to take ownership seriously—not just of writing code, but of outcomes
Strong opinions, weakly held
Understanding that 'building from scratch' doesn't mean rejecting existing tools
Experience making big changes to critical data infrastructure
Preferred
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
Benefits
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)•
Company
Rocket Money
Rocket Money is a leading personal finance app with a mission to improve the financial prosperity of millions of people.
201-500 employees
H1B Sponsorship
Rocket Money has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Growth StageLeadership Team
Haroon Mokhtarzada
CEO & Chairman
Daniel McGrath
Chief Technology Officer
Recent News
Seattle TechFlash
2025-08-31
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