AWS Data Engineer (SME) ____ Boston, MA (Hybrid) ___ Contract
AWS Data Engineer (SME) ____ Boston, MA (Hybrid) ___ Contract
Posted 11 days ago
SENIORITY
Senior
About the role
- Design, develop, and optimize scalable ETL/ELT pipelines using AWS services (Glue, EMR, Lambda, Step Functions, etc.)Build and maintain data lakes and data warehouses using AWS tools such as S3, Redshift, Athena, and Lake Formation.
- Collaborate with data architects and business stakeholders to understand data requirements and implement solutions that support analytics and reporting needs.
- Automate ingestion, transformation, and validation of large-scale datasets from diverse sources.
- Ensure data quality, security, and compliance with governance policies.
- Monitor data pipelines and infrastructure performance, troubleshoot issues, and optimize for speed and efficiency.
- Write clean, reusable, and well-documented code for data engineering tasks using Python, SQL, or Scala.
- Implement CI/CD practices and infrastructure as code using tools like Cloud
- Formation or Terraform.
- Participate in Agile/Scrum ceremonies and contribute to technical planning and decision-making.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
