Data Engineer

Employment Type: FULL_TIME

Position Overview

The Lifetime Value Co. (LTV) is seeking a Data Engineer to contribute to the development, maintenance, and optimization of data pipelines for our genealogy data products. At LTV, we foster a collaborative, low-bureaucracy environment where getting things done is paramount. This role offers an excellent opportunity for individuals who thrive on working with diverse technologies, writing clean and maintainable code, and transforming raw data into valuable insights. You will join a supportive team that values your input and encourages continuous improvement of systems and processes.

Responsibilities

• Join an established and collaborative data team as an individual contributor.
• Build and maintain scalable, reusable pipelines for processing large genealogy datasets.
• Analyze source data, clarify requirements with stakeholders, challenge assumptions, and propose enhancements.
• Design, build, and maintain RESTful APIs to expose data and services to other teams and systems.
• Write production-ready code, adhering to best engineering practices including testing, peer reviews, and CI/CD.
• Troubleshoot issues and provide support to internal teams reliant 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 guidance from a tech lead.

Requirements

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 frameworks).
• 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 data flow 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

Your Reward for Greatness

• 100% remote work culture supporting flexibility and work-life balance.
• Competitive base salary.
• Competitive Annual Performance Bonus.
• Home Utility bonus.
• Twice a week meal delivery through UberEats.
• Private medical, dental, and life insurance through Pan-American Life Insurance Group (PALIG).
• Day of personal significance.
• Birthday Holiday.
• 5 complimentary sick leave days.
• End of Year one week companywide break.
• English classes paid by the company.
• LTV Speaks! - third language classes paid by the company.
• Password management with 1Password.
• Online training paid by the company.
• Great work environment with an innovative culture and great people.
• Customized growth opportunities.
• Anniversary Appreciation Gifts and Milestone Bonuses.
• Wellbeing reimbursement.
• Home Office Reimbursement up to $500 for your perfect work-from-home setup.

Office Amenities (for those who prefer to work in-office):

• In-office snacks and a selection of beverages (sodas, juices, beers, protein shakes, spritzers, and kombucha).
• Ping pong table.
• Meditation room.
• Coffee machine with a variety of flavors.
• Maternity room.
• Game and karaoke corner.

Why LTV Co.?

LTV is the place to be if you aspire to be part of a high-growth, results-driven, industry-leading organization. We build exciting data products and market them with passion. LTV is a remote-first, fast-growing company headquartered in New York City, balancing innovation with a strong focus on execution.