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Data Engineer

Data Engineer

The Lifetime Value Co.Sepang, Malaysia
3 days ago
Job description

Overview

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Data Engineer

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The Lifetime Value Co. 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 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

Employment Details

Seniority level : Entry level

Employment type : Full-time

Job function : Sales, General Business, and Education

Industries : Wireless Services, Telecommunications, and Communications Equipment Manufacturing

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.

We believe in diversity and hiring people from all backgrounds and walks of life. You must be energetic, inventive, a team player, and looking to help build and grow the company every day. You must have an inner desire to win and the idea of losing is a non-starter. If you are looking for a position that allows you to work with a group of smart and dedicated people who will support you but still provide the autonomy you need to execute your strategy, then you should probably apply as soon as you’re done reading this!

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. 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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Data Engineer • Sepang, Malaysia

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