Data Engineer

The Lifetime Value Co.

92d

About The Position

The Lifetime Value Co. is looking for a Data Engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. At LTV, we all work closely together across teams, and there’s no red tape or bureaucracy. We get things done! This is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. You’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day.

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.

Nice To Haves

• 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.

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.

What This Job Offers

• Number of Employees: 101-250 employees