Jr. Data Engineer

**About the Job**

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.

**What You Will Get to Do**
- 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 You Bring to the Table**

**Must-Haves**:

- 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.

**Languages**:

- English - Proficient level

**Why LTV Co.?**

If you have ambitions to be a part of a high-growth, results-driven, industry-leading organization, LTV is the place to be. LTV builds exciting data products and then we market them with passion. We’re a remote-first, fast-growing company with headquarters in New York City that balances the culture of a startup with the stability of being an established, profitable company. We want to work with people who strive to be in the top.01% of their field. We understand that getting to the top takes hard work, constant improvement, and by making data-driven decisions. It’s a thrilling time to join the team, as we’re expanding our product offerings in exciting new ways, driving innovation through data, marketing, and web & app development.

**About Us**

LTV was founded in New York by Josh Levy and Ross Cohen in 2007. At the time their mission was to provide easy and affordable access to public records. Something that in 2007, was only really accessible to corporations. Since then their mission has expanded to developing products and services that grant access to information and data across a number of verticals. In service of this mission, LTV has 10 consumer brands including BeenVerified, NumberGuru, PeopleLooker, NeighborWho, Ownerly, PeopleSmart, Bumper, ReversePhone, MoneyBot5000, and Wingmate.

Our mission is to develop a diverse portfolio of technologies, products, and services, that give all people equal access to unbiased data and information. We believe that through this access people can empower and protect themselves in today’s ever-changing world, filled with fake news, deception, and a lack of transparency.

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