United States onlyWorldly is hiring a Senior Data Engineer to build, operate, maintain, and evolve the systems that support internal analytics and power customer-facing analytics platforms.
Requirements
- 5+ years of professional experience in data engineering, analytics engineering, or data platform engineering.
- Advanced SQL expertise and strong experience with relational databases, especially Postgres.
- Strong Python development skills applied to data pipelines, automation, and operational tooling.
- Strong Git-based development practices (branching, PRs, code review).
- Demonstrated experience developing and supporting DBT transformations and operational workflows.
- Hands-on experience building AWS ingestion/ETL workflows using services such as S3, IAM, Glue, Lambda, CloudFormation (or other IaC), and AppFlow.
- Practical DevOps experience: CI/CD pipelines, Git/GitHub workflows, and containerization fundamentals (Docker).
- Experience with analytics data modeling and metric definition practices.
- Experience implementing automated monitoring/alerting and data quality controls for pipelines and critical datasets.
- Experience operating production data systems (including data quality tests, regression checks, validation frameworks, incident triage, root-cause analysis, runbooks, reliability improvements).
- Experience working closely with analytics teams and cross-functional stakeholders; familiarity with Jira/Confluence and Agile delivery.
- Familiarity with data security practices (PII protection, encryption controls, access management).
Benefits
- Medical, Dental, and Vision Insurance
- Company-sponsored 401k with up to 4% match for US employees
- Incentive Stock Options
- 100% Parental Paid Leave
- Unlimited PTO
- 12 paid company holidays
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