Data Engineer

Innova SolutionsPA, PA
Onsite

About The Position

We're looking for a Data Engineer to join our rapidly growing AI & Digital Innovation team and help shape the future of manufacturing through cutting-edge technology, scalable data platforms, and intelligent applications. In this role, you'll be at the heart of our data ecosystem, designing robust data pipelines, building high-performance APIs, and enabling AI-powered insights that drive critical business decisions. You'll collaborate with data scientists, analysts, and software engineers to transform complex data into powerful solutions that fuel innovation and operational excellence.

Requirements

  • 3+ years of hands-on Python development experience
  • 3+ years of experience working with PySpark and Pandas for large-scale data processing and analytics
  • Proven experience designing, developing, and maintaining scalable data pipelines
  • Strong expertise in designing and developing RESTful APIs and data services
  • 3+ years of advanced SQL experience, preferably with Oracle (experience with any major relational database is welcome)

Nice To Haves

  • Experience working with cloud platforms such as OCI, Azure, AWS, GCP , or similar environments
  • Familiarity with Linux-based systems and environments
  • Knowledge of the Hadoop ecosystem and distributed data-processing frameworks
  • Experience with Databricks and modern data engineering tools

Responsibilities

  • Architect and develop scalable, reliable, and high-performing data pipelines that support analytics, AI, and operational workloads.
  • Create and maintain RESTful APIs and data services that empower teams with seamless access to trusted data.
  • Process and transform large-scale datasets using PySpark, Pandas, and Databricks.
  • Partner closely with Data Scientists, AI Engineers, Analysts, and Product Teams to deliver impactful data solutions.
  • Ensure data quality, integrity, governance, and security across all systems and applications.
  • Document architectures, workflows, and best practices to promote collaboration and knowledge sharing.

Benefits

  • Medical & pharmacy coverage
  • Dental/vision insurance
  • 401(k)
  • Health saving account (HSA) and Flexible spending account (FSA)
  • Life Insurance
  • Pet Insurance
  • Short term and Long term Disability
  • Accident & Critical illness coverage
  • Pre-paid legal & ID theft protection
  • Sick time
  • other types of paid leaves (as required by law)
  • Employee Assistance Program (EAP)
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