Remote Lead Data Engineer

Jobgether•Texas, TX

1d•Remote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer - REMOTE. In this role, you will play a crucial part in designing and enhancing the data platform that guarantees quality and governance, enabling timely and reliable analysis across enterprise systems. You will collaborate closely with senior engineers, analysts, and stakeholders in a dynamic, team-oriented environment, contributing to well-structured data solutions while furthering your technical expertise and ownership over systems. Accountabilities Build and maintain data pipelines that support ingest, logging, validation, transformation, and secure data access. Contribute to the development and improvement of scalable ETL/ELT processes under guidance from senior engineers. Implement and evolve data models and storage patterns that support analytics and operational use cases. Apply data quality checks, monitoring, and documentation to ensure data is accurate, reliable, and well understood. Collaborate with internal teams and clients to understand data requirements and support analytics use cases. Contribute to the ongoing development of the VOR Data Platform, including tooling, standards, and automation. Participate in research, prototypes, and proof-of-concept work to evaluate new data and analytics technologies, including emerging AI-driven tools. Follow established engineering practices and contribute ideas to improve reliability, performance, and developer experience.

Requirements

4–7 years of combined experience and education in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related field.
Hands-on experience building and maintaining ETL/ELT data pipelines and working with data warehouses, data lakes, or analytics platforms.
Experience working with SQL and familiarity with performance tuning and optimization concepts.
Exposure to data visualization or BI tools such as Tableau, Power BI, Superset, or similar.
Strong Python development experience.
Familiarity with modern data tooling and workflows; experience using AI-assisted development tools is a plus.
Strong written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
Ability to work effectively in a collaborative, remote-first environment.

Responsibilities

Build and maintain data pipelines that support ingest, logging, validation, transformation, and secure data access.
Contribute to the development and improvement of scalable ETL/ELT processes under guidance from senior engineers.
Implement and evolve data models and storage patterns that support analytics and operational use cases.
Apply data quality checks, monitoring, and documentation to ensure data is accurate, reliable, and well understood.
Collaborate with internal teams and clients to understand data requirements and support analytics use cases.
Contribute to the ongoing development of the VOR Data Platform, including tooling, standards, and automation.
Participate in research, prototypes, and proof-of-concept work to evaluate new data and analytics technologies, including emerging AI-driven tools.
Follow established engineering practices and contribute ideas to improve reliability, performance, and developer experience.