Summary
Join the Lifetime Value Co. as a Data Engineer to build, maintain, and optimize data pipelines for genealogy data products. Collaborate with a supportive team, working across various technologies and contributing to the design and improvement of tools and workflows. You will build scalable, reusable pipelines to process large datasets, design and maintain RESTful APIs, and write production-ready code. The role requires strong communication and analytical skills, along with experience in the genealogy industry and proficiency in Python and related technologies. This is a fully remote position offering a competitive salary, benefits, and opportunities for professional development.
Requirements
- MUST HAVE prior experience working in the genealogy industry (e.g., ancestry research, family history services, or historical records platforms)
- 4-5 years of experience using Python in a production environment
- Hands-on experience or familiarity with Airflow (DAGs, operators, scheduling)
- Experience working with Docker (or other OCI-compatible container framework)
- Proficiency in Git and standard version control workflows (branches, pull requests, etc.)
- Experience building and consuming RESTful APIs
- Comfort working with data formats like CSV, JSON, and understanding how data flows across systems
- Strong communication skills and an analytical mindset
Responsibilities
- Join an established and collaborative data team as an individual contributor
- Help build and maintain scalable, reusable pipelines to process large genealogy data sets
- Analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements
- Design, build, and maintain RESTful APIs to expose data and services to other teams and systems
- Write production-ready code and follow good engineering practices (testing, peer reviews, CI/CD)
- Troubleshoot issues and provide support to internal teams that depend on our data services
- Contribute to the design and continuous improvement of our tools, workflows, and infrastructure
- Work with a variety of technologies and cloud services, with the support of a tech lead
Preferred Qualifications
- Experience with AWS services such as S3, IAM, and other core cloud infrastructure concepts
- Understanding of Kubernetes or interest in container orchestration
- Experience using GitHub Actions or similar CI/CD tools
- Familiarity with AWS OpenSearch or other search/indexing tools
- Basic knowledge of Go or willingness to learn and contribute
Benefits
- 100% remote work culture that supports flexibility and work-life balance
- Competitive base salary
- Competitive Annual Performance Bonus
- Home Utility Bonus
- Great health insurance including medical, dental, and vision
- Life insurance and personal accident insurance are fully paid by LTV
- Voluntary Life and AD&D insurance
- Pet Insurance via Fetch for those who have furry family members, offering coverage for veterinary expenses and peace of mind
- 401 (k) plan with fully vested company matching up to 6% - Eligible Day 1!
- Competitive Paid Time Off and Sick Time provided
- Day of Personal Significance
- Birthday Holiday
- Paid holidays throughout the year
- Early dismissal before a paid company holiday
- 5 additional days off for the End of the Year break!
- Meal delivery twice a week through Seamless/DoorDash
- Anniversary Appreciation Gifts and Milestones Bonuses
- Free ClassPass On-Demand workouts to Monthly ClassPass Subsidy
- Tax Preparation Bonus
- Home Office Reimbursement Perk up to $500 for your perfect work from home setup
- Student loan repayment & financial wellness resources via Peanut Butter
- Travel Expense Reimbursement for Qualifying Medical Care
- Flexible Savings Account/Health Savings Account
- Password Management with 1Password
- Professional Development Budget, training, and opportunities for professional growth - as we grow, you grow!
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