AWS Lead Data Engineer
Skills
About the role
Required Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 7+ years of experience in data engineering, with at least 3 years in technical leadership or lead engineer role. Extensive hands-on experience with AWS data services (Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, Athena, RDS, API Gateway, etc.). Proficient in programming languages such as Python and SQL; experience with Shell scripting and Scala is a plus. Strong experience designing, implementing, and managing data lakes, data warehouses, and data ingestion pipelines on AWS. Proven experience with ETL/ELT processes, data modeling, and big data frameworks. Demonstrated ability to lead, mentor, and coach engineers in a collaborative team environment. Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code tools (e.g., CloudFormation, Terraform). Excellent problem-solving, communication, and organizational skills. Preferred Qualifications:
AWS Solutions Architect or AWS Data Engineer certification. Experience with real-time streaming technologies. Knowledge of data governance, compliance, and security best practices. Familiarity with Lakehouse architecture and modern data platforms.
Pay: $65.00 - $70.00 per hour
Work Location: In person
Compensation
This Data Engineer role pays $65k-$70k/yr. Within typical range for data engineer roles in United States.
Questions about this role
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