Remote Data Engineer

Description:

• The Lifetime Value Co. is seeking a Data Engineer to assist in building, maintaining, and optimizing data pipelines for genealogy data products.
• The role involves working closely with various teams without bureaucratic obstacles, emphasizing a collaborative environment.
• Responsibilities include joining a data team as an individual contributor, building scalable pipelines for large genealogy datasets, and analyzing source data while collaborating with stakeholders.
• The Data Engineer will design, build, and maintain RESTful APIs, write production-ready code, troubleshoot issues, and support internal teams relying on data services.
• The position requires contributing to the design and improvement of tools, workflows, and infrastructure while working with various technologies and cloud services.

Requirements:

• Candidates must have 1–2 years of experience using Python in a production environment.
• Hands-on experience or familiarity with Airflow, including DAGs, operators, and scheduling, is required.
• Experience with Docker or other OCI-compatible container frameworks is necessary.
• Proficiency in Git and standard version control workflows, including branches and pull requests, is essential.
• Candidates should have experience building and consuming RESTful APIs and be comfortable working with data formats like CSV and JSON.
• Strong communication skills and an analytical mindset are required.
• Nice-to-haves include experience with AWS services such as S3 and IAM, understanding of Kubernetes, experience with CI/CD tools like GitHub Actions, familiarity with AWS OpenSearch, and basic knowledge of Go or a willingness to learn.

Benefits:

• LTV Co. offers a remote-first work environment in a fast-growing company that balances startup culture with the stability of an established, profitable organization.
• Employees are encouraged to strive for excellence and contribute to a high-growth, results-driven environment.
• The company values diversity and seeks individuals from various backgrounds, promoting a supportive team atmosphere.
• Opportunities for personal and professional growth are available, with a focus on constant improvement and data-driven decision-making.