Data Engineer Manager (AWS)

Overview

Remote
$170000 - $200000 per annum
Full Time

Skills

Data Engineer Manager (AWS)

Job Details



Data Engineer Manager (AWS) - Remote


My client is looking for a hands-on and passionate Data Engineer Manager to lead a talented team building scalable, cloud-native data platforms on AWS. This is a fantastic leadership opportunity for someone who loves mentoring engineers, driving innovation, and delivering meaningful data solutions.


U.S. Citizen/ Holders Only.


Details:



  • Full-Time, Permanent Position

  • Salary: $170k - $200k

  • Location: 100% Remote


About the Role:
You'll lead a talented team of data engineers in designing, building, and delivering scalable, cloud-native data solutions. You'll work closely with product, architecture, and data science teams to build efficient pipelines, data lakes, and warehouses - all while fostering a culture of technical excellence and continuous learning!


What You'll Do:



  • Lead, mentor, and develop a high-performing data engineering team.

  • Build and oversee cloud data pipelines, data lakes, and warehouses on AWS.

  • Partner with cross-functional teams to solve complex data challenges.

  • Manage the entire data solution lifecycle-from architecture and development to deployment and operation.

  • Work with Python, SQL, and AWS tools like Redshift, Glue, EMR, S3, and Kinesis.

  • Champion best practices for data engineering, security, and cost optimization.

  • Stay up to date on AWS and data technology developments; evaluate and implement new tools as needed.

  • Conduct code reviews and ensure high engineering standards.

  • Communicate project progress and manage stakeholder relationships effectively.


Requirements:



  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

  • 7+ years of experience in software/data engineering.

  • 3+ years managing and mentoring technical teams.

  • Proven expertise with AWS cloud data solutions.

  • Proficient with Python, SQL, Spark, Kafka, Redshift, and Glue.

  • Strong understanding of data warehousing, ETL, and streaming data architectures.

  • Experienced with Agile methodologies and CI/CD pipelines.

  • Excellent communication and teamwork skills.



Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.