Data Engineer

The Lifetime Value Co.
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 to process large datasets, analyze source data, clarify requirements, and propose improvements. Design, build, and maintain RESTful APIs, write production-ready code, and troubleshoot issues. Contribute to the improvement of tools, workflows, and infrastructure, working with various technologies and cloud services. This role requires 1-2 years of Python experience in a production environment, familiarity with Airflow, Docker, Git, and RESTful APIs, and strong communication skills. The company offers a 100% remote work culture with competitive salary, bonus, and benefits including health insurance, paid time off, and professional development opportunities.
Requirements
- 1-2 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
- English - Proficient level
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
- Twice a week meal delivery through UberEats
- Private medical, dental, and life insurance through Pan-American Life Insurance Group (PALIG)
- Day of personal significance
- Birthday Holiday
- 5 complimentary sick leave days
- End of Year one week companywide break
- English classes paid by the company
- LTV Speaks! - third language classes paid by the company
- Password management with 1Password
- Online training paid by the company
- Customized growth opportunities
- Anniversary Appreciation Gifts and Milestone Bonuses
- Wellbeing reimbursement
- Home Office Reimbursement up to $500 for your perfect work-from-home setup