Data Engineer

San Jose, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Genealogy, Data ServicesIndustries

Requirements

Candidates must have at least 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, experience building and consuming RESTful APIs, and comfort working with data formats like CSV, JSON, and understanding how data flows across systems. Strong communication skills and an analytical mindset are also required.

Responsibilities

The Data Engineer will join an established and collaborative data team as an individual contributor, helping to build and maintain scalable, reusable pipelines to process large genealogy data sets. They will analyze source data, collaborate with stakeholders, design, build, and maintain RESTful APIs, write production-ready code, troubleshoot issues, and provide support to internal teams. Additionally, they will contribute to the design and continuous improvement of tools, workflows, and infrastructure, and work with a variety of technologies and cloud services.

Skills

Python

Airflow

Docker

Git

RESTful APIs

CSV

JSON

Data Pipelines

Data Processing

CI/CD

Version Control

Problem-Solving

Communication

The Lifetime Value Co

Develops data-centric applications and tools

About The Lifetime Value Co

The Lifetime Value Company (LTV Co.) focuses on helping individuals and businesses access and utilize data effectively. It offers a range of apps and web-based products that make public data easily accessible, allowing users to make informed decisions. LTV Co. differentiates itself from competitors by providing a diverse portfolio of data-centric tools that cater to various clients, from individual consumers to large enterprises, and by emphasizing customer satisfaction and loyalty. The company's goal is to unlock long-term value for its customers, investors, and employees while fostering a culture of innovation and social responsibility.

New York City, New YorkHeadquarters

2017Year Founded

$145.9MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

201-500Employees