Data Engineer

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 remote-first environment and a collaborative team culture.

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

Remote-first