The Role
Designs and supports scalable data engineering solutions, pipelines, processing systems, and data platforms. Translates business requirements into technical solutions, contributes to architecture discussions, communicates with client stakeholders, and identifies opportunities to apply data and AI technologies. The role is client-facing, onsite or hybrid in Indianapolis, and supports potential engagement expansion.
Summary Generated by Built In
Senior Data Engineer
Location: Indianapolis, IN
Work Arrangement: Onsite/Hybrid, client facing
Local candidates only
Position Overview
We are seeking a senior hands on Data Engineer to design, develop, and scale enterprise data platforms supporting data and AI initiatives for our client. The ideal candidate has deep experience building on AWS and Databricks, and can work directly with business and technical stakeholders, understand emerging requirements, and identify opportunities for additional data and AI solutions. This role supports one of our client's business units, with potential for the engagement to expand.
Key Responsibilities
- Design, build, and scale data pipelines on Databricks and AWS.
- Develop ETL/ELT solutions using Spark, PySpark, and SQL.
- Implement Delta Lake, Lakehouse, Unity Catalog, and Databricks Workflows.
- Work with AWS data services such as S3, Glue, Lambda, Redshift, and IAM.
- Build batch and streaming ingestion with data quality and governance controls.
- Apply CI/CD practices and optimize pipeline performance, cost, and reliability.
- Engage business and technical stakeholders directly and translate requirements into solutions.
- Contribute to data architecture and solution design discussions.
- Identify opportunities where data and AI can address additional business needs.
- Contribute to the growth of the overall engagement.
Requirements
Required Qualifications
- Strong hands on data engineering background.
- Python, PySpark/Spark, and SQL.
- Databricks, including Delta Lake and Lakehouse.
- Strong hands on experience with AWS data services.
- ETL/ELT pipeline development and data modeling.
- Batch and streaming ingestion, data quality and governance, CI/CD.
- Ability to engage stakeholders independently, not only work from technical tickets.
- Excellent communication and stakeholder management skills.
- Must be local to Indianapolis, IN and able to work onsite.
Preferred Experience
- Unity Catalog, MLflow, Medallion Architecture
- Databricks certification
- Azure
- NVIDIA ecosystem exposure
- GenAI and ML pipelines
- Regulated healthcare or pharma experience (pharma preferred, not mandatory)
- Experience identifying additional technology or business opportunities
Ideal Candidate
More than a pure data engineer. A senior, business aware, client facing professional with deep AWS and Databricks skills who delivers solutions and helps identify ways to expand the engagement.
Skills Required
- Strong hands-on data engineering background
- Experience with modern data platforms and data engineering ecosystems
- Ability to translate business requirements into technical solutions
- Excellent communication and stakeholder management skills
- Comfortable working in a client-facing environment
- Local to Indianapolis, Indiana and able to work onsite
- Experience with Databricks
- Experience with NVIDIA or related AI and data ecosystems
- Experience with AI and modern data technologies
- Pharmaceutical or life sciences experience
- Experience in a large enterprise client environment
- Experience identifying additional technology or business opportunities
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The Company
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.
