Senior Data Engineer – AWS (META, Affiliate)

Posted Yesterday
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Indianapolis, IN, USA
In-Office
Senior level
Artificial Intelligence • Software • Consulting • Automation
The Role
Leads data architecture and engineering for the META initiative, owning solution design, data modeling, pipeline standards, code reviews, mentoring, performance tuning, and roadmap decisions. Requires deep AWS data engineering expertise, PySpark, SQL, infrastructure as code, and CI/CD experience.
Summary Generated by Built In

Technical lead for data architecture and engineering on the META initiative.

  • Own solution design, data modeling and pipeline architecture standards
  • Lead code reviews, mentor engineers and guide performance tuning
  • Partner with architects and business leads on roadmap and technical decisions


Requirements
  • Must have: 8+ yrs data engineering, deep AWS data stack, PySpark, SQL, IaC (Terraform/CloudFormation), CI/CD.
  • ​Nice to have: AWS Data Engineer/Architect certification


Skills Required

  • 8+ years of data engineering experience
  • Deep AWS data stack expertise
  • PySpark experience
  • SQL experience
  • Infrastructure as code experience with Terraform or CloudFormation
  • CI/CD experience
  • AWS Data Engineer or Architect certification
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The Company
HQ: Indianapolis, IN
96 Employees
Year Founded: 2015

What We Do

RADcube is a technology consulting and software development firm founded in 2015 and headquartered in Carmel, Indiana. It helps organizations turn enterprise ideas into practical innovations through digital transformation, custom software, data analytics, artificial intelligence, cloud computing, cybersecurity, and intelligent automation. The company serves healthcare, finance, government, and manufacturing clients, combining human-centric delivery with responsible, accountable technology solutions designed to produce measurable business outcomes.

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