Data Engineering Lead - REMOTE at Jobgether

, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Aug, 26

Salary

130000.0

Posted On

04 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, GCP, BigQuery, Dataflow, Airflow, Python, SQL, Data Modeling, TDD, CI/CD, Git, AI, LLM, Agile, Project Management, Mentorship

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineering Lead - REMOTE. In this role, you will serve as the technical center of gravity for the data platform, driving architectural direction and mentoring engineers. Your work will significantly influence how data solutions are designed and implemented, empowering teams to harness AI for smarter outcomes. You will engage with various data technologies while fostering an environment of continuous improvement, collaboration, and innovation. If you thrive in a remote environment and are passionate about data and mentorship, this is the role for you. \n Accountabilities Set the technical direction for the data platform — define architecture, standards, and roadmap. Architect the data platform end-to-end using BigQuery, Dataflow, airflow, and others. Establish standards for data modeling and serving across tools and dashboards. Mentor data engineers and analysts through technical challenges and skill development. Champion best engineering practices including TDD, modular testing, and CI/CD pipelines. Optimize costs and performance by addressing slow queries and improving data handling. Leverage AI tools to enhance research, code reviews, and engineering workflows. Create documentation and teach methodologies that contribute to long-term team success. Requirements Proven expertise in leading data engineering teams through technical authority. Fluency with the GCP data stack including BigQuery, Dataflow, and Cloud Storage. Advanced skills in BI tools and SQL for building effective data models and dashboards. Expert in Python and experience with TDD and modular testing strategies. Competence in Git and CI/CD pipeline design with automated testing. Experience integrating AI and LLM tools into engineering practices. Strong project management and Agile methodology experience. Excellent communication skills for diverse audiences, from stakeholders to engineers. Benefits Competitive salary range of $120,000-$130,000. Flexible working hours in a remote-first environment. Opportunities for professional development and skill enhancement. Regular evaluations of compensation based on performance. Access to a collaborative and innovative company culture. Inclusive environment and commitment to equal opportunity employment. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Define the architectural direction and standards for the data platform while mentoring engineers to ensure high-quality delivery. Drive the implementation of data solutions using GCP technologies and champion best engineering practices like TDD and CI/CD.