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 1β2 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.