Data Engineer - Remote

Overview

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.

In Short

• 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.

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.

Benefits

• Join a remote-first, fast-growing company with a collaborative culture.
• Be part of an organization that values diversity and innovation.
• Work in a supportive environment where your input matters.
• Opportunity for professional growth and development.
• Contribute to exciting data products and services.