Jobgether · US
Data Engineering Lead role designing AWS-based data pipelines using Glue, EMR, S3, Python, and PySpark for enterprise data platforms. Responsibilities include setting engineering standards, conducting code and design reviews, and mentoring data engineers. Preferred experience includes Redshift, Athena, DynamoDB, and Apache Iceberg.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineering Lead based in the United States.
We are seeking an experienced Data Engineering Lead to drive the design, development, and delivery of scalable cloud-based data solutions. In this role, you will leverage AWS native services, Python, and PySpark to build robust data pipelines and modernize enterprise data platforms. You will play a key role in shaping data architecture, improving data integration, and developing high-performance data products. Working across complex enterprise environments, you will establish engineering standards and ensure the reliability, quality, and scalability of data solutions. You will also provide technical leadership, mentor engineering teams, and collaborate with architecture, technology, and business stakeholders. This is an opportunity to make a meaningful impact in a flexible, remote-first environment while contributing to large-scale data transformation initiatives.
How Jobgether works:
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!
Why Apply Through Jobgether?
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.
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