Senior AWS Data Engineer

Select Minds LLC Logo
Select Minds LLC
Dallas, TX, United States (Remote)
  • Engineering
  • FlexTime
  • FullTime
  • Shift

Benefits:

Competitive salary

Opportunity for advancement

Job Title: AWS Data Engineer Location: Dallas, TX (Hybrid — 3 days onsite) Experience: 8–12 years Interview Process: In-Person Profiles: Locals & Non-Locals Can Apply

Overview

We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal candidate is hands-on with AWS, Python/PySpark, and SQL, and can design, optimize, and manage complex data pipelines. This role requires collaboration across teams to deliver secure, scalable, and high-quality data solutions that drive business intelligence and operational efficiency.

Key Responsibilities

  • Design, build, and maintain scalable ETL pipelines across AWS and SQL-based technologies.
  • Assemble large, complex datasets that meet business and technical requirements.
  • Implement process improvements by re-architecting infrastructure, optimizing data delivery, and automating workflows.
  • Ensure data quality and integrity across multiple sources and targets.
  • Orchestrate workflows with Apache Airflow (MWAA) and support large-scale cloud migration projects.
  • Conduct ETL testing, apply test-driven development (TDD), and participate in code reviews.
  • Monitor, troubleshoot, and optimize pipelines for performance, reliability, and security.
  • Collaborate with cross-functional teams and participate in Agile ceremonies (sprints, reviews, stand-ups).

Requirements

  • 8–12 years of experience in Data Engineering, with deep focus on ETL, cloud pipelines, and Python development.
  • 5 years of hands-on coding with Python (primary), PySpark, and SQL.
  • Proven experience with AWS services: Glue, EMR (Spark), S3, Lambda, ECS/EKS, MWAA (Airflow), IAM.
  • Experience with AuroraDB,DynamoDB Redshift, and AWS Data Lakes.
  • Strong knowledge of data modeling, database design, and advanced ETL processes (including Alteryx).
  • Proficiency with structured and semi-structured file types (Delimited Text, Fixed Width, XML, JSON, Parquet).
  • Experience with ServiceBus or equivalent AWS streaming/messaging tools (SNS, SQS, Kinesis, Kafka).
  • CI/CD expertise with GitLab or similar, plus hands-on Infrastructure-as-Code (Terraform, Python, Jinja, YAML).
  • Familiarity with unit testing, code quality tools, containerization, and security best practices.
  • Solid Agile development background, with experience in Agile ceremonies and practices.

Flexible work from home options available.

Apply for job