Data Engineer
Builds and maintains reliable data pipelines and infrastructure using SQL, Python, Airflow, and Redshift to support analytics for Risk, Marketing, Finance stakeholders. Leads projects, reviews code, and scales platform as business grows.
About the job
Responsibilities
First Week:
- Introduce yourself on Slack and meet your team.
- Get oriented in the warehouse, walk through most-used pipelines, read codebase to ask useful questions.
- Ship your first commit to production (bug fix, documentation update, or small improvement).
First Month:
- Get fluent in Airflow setup, Redshift conventions, and DataHub governance tooling.
- Complete first end-to-end pipeline or pipeline change in collaboration with a downstream team (Risk, Marketing, Finance, etc.).
- Start reviewing PRs from other data engineers, providing pragmatic feedback.
First Three Months:
- Be technical lead on a meaningful project from design through implementation, testing, and rollout.
- Participate in architecture discussions and contribute to platform direction.
- Build stakeholder trust so they come to you directly for data issues.
First Year:
- Own a slice of infrastructure roadmap as product scales.
- Become go-to expert on one or more platform areas.
- Help hire and onboard new data engineers.
- Enable teammates to ship projects independently on your services.
Requirements
- Experience with healthy data engineering culture, data quality, pipeline reliability, stakeholder communication.
- Led data pipeline or platform design decisions, including trade-offs.
- Comfort across SQL, Python, orchestration, and infrastructure-as-code.
- Favorite SQL patterns, modeling approaches, or data craft.
What You'll Learn
- Perpay's payroll-deduction business model and data implications.
- Building reliable data products: scoping, modeling, code review, testing, observability, lineage.
- Data team roadmap and business alignment.
- Stakeholders across Risk, Commerce, Marketing, Ops, Finance.
Compensation & Benefits
- Meaningful compensation and equity.
- Premium medical benefits (fully paid base plan).
- 4% employer 401k match.
- Unlimited PTO.
- Remote weeks around major holidays + extra holidays.
- High quality catered lunch 4 days/week.
- Gym subsidy.
- Paid cell phone + plan.
- Student loan repayment.
- Relocation assistance.
- Generous team member discounts.
Skills
SQL, Python, Airflow, Redshift, Datahub, Data Pipelines, Infrastructure As Code, Data Modeling, Observability, Data Lineage
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