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Über
Hybrid (2-3 days onsite in Dallas, TX or Houston, TX) Compensation:
$130K-$170K + Bonus + Equity Work Authorization:
No sponsorship available Relocation:
Potential light relocation support About the Role Join us in a significant cloud modernization initiative as we establish a robust U.S.-based data engineering capability. As a Lead Data Engineer (AWS), you will be instrumental in designing and building cutting-edge data pipelines while mentoring engineers and setting the technical framework for a state-of-the-art AWS-native data platform. This role allows you to blend hands-on engineering with technical leadership—60% of your time will be dedicated to engineering tasks, and 40% will focus on mentoring and guiding your team. What You'll Do Technical Leadership (no formal people management) Establish engineering best practices, design patterns, and coding standards Mentor a team of ETL/data engineers, fostering growth and skill development Enhance pipeline quality, speed, and reliability Translate functional requirements into efficient technical solutions Collaborate closely with product and data stakeholders for alignment Hands-On Engineering Develop AWS-native data pipelines and ingestion frameworks Implement cutting-edge lakehouse architecture using modern open table formats Utilize AWS Glue, EMR, S3, Athena, Lambda, and additional services extensively Create scalable data solutions leveraging Python and PySpark Support analytics, business intelligence, and emerging GenAI use cases Manage data pipelines from ingestion through to production deployment Ideal Candidate Profile Must-Have Experience Solid, recent hands-on experience with AWS (non-negotiable) Expertise in Apache Iceberg, Delta Lake, or Hudi Ability to articulate data storage internals, including snapshots, schema evolution, metadata layers, and performance optimization Proficient in Python and PySpark Demonstrated experience in lakehouse architecture A passion for hands-on engineering and building production-ready data pipelines Typically 6-10+ years of experience (open to candidates with 5+ years and extensive AWS expertise)
Sprachkenntnisse
- English
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