Data Engineer (Databricks/AWS)

• Design, build, and maintain scalable ETL/ELT pipelines (batch and streaming) using Databricks, AWS, and related orchestration tools
• Write and optimize advanced SQL, and build data transformations in Python or Scala
• Integrate external data sources via APIs and manage pipeline orchestration (Airflow, Databricks Workflows, AWS Glue)
• Apply data quality, governance, cataloging, and lineage practices aligned with regulated-industry standards
• Work within GxP-regulated data environments and apply awareness of data privacy/compliance considerations (e.g., 21 CFR Part 11, GDPR where applicable)
• Partner with business stakeholders across the pharma value chain (R&D, Manufacturing & Quality, Commercial, Drug Development) to gather and translate requirements into technical specifications
• Present technical work and data strategy to executive-level audiences
• Prioritize high-impact data initiatives and proactively identify and avoid duplicated data efforts
• Support change management and adoption of new data solutions across business teams
• Help stand up new data domains from scratch (green-field build), not just maintain existing ones

We are seeking a Data Engineer with 3-5 years of experience working specifically within the pharma industry to join a pharma-focused data team. This is a senior-flavored engineering role that combines hands-on pipeline and platform work with significant business-facing responsibility - including translating business needs into technical specs, presenting to executive-level stakeholders, and helping stand up new data domains from the ground up. You will design, build, and govern the data infrastructure that powers analytics and reporting across the business, while also acting as a trusted technical partner to non-technical stakeholders., * ETL/ELT development (batch and streaming)

• Advanced SQL (joins, window functions, query optimization)
• Python or Scala for data transformation
• Data pipeline orchestration (Airflow, Databricks Workflows, AWS Glue)
• API integration for external data source ingestion

Platforms & Tools

• Databricks (Delta Lake, Unity Catalog, Genie)
• Cloud platforms - AWS (S3, Glue, Athena) and/or Azure/GCP equivalents
• Data warehousing concepts (dimensional modeling, star schema)
• BI/visualization tools (Tableau, Power BI, or similar) to understand downstream consumption

Data Quality & Governance

• Data profiling and cleansing techniques
• Metadata management and data cataloging
• Master data management (MDM) principles
• Data lineage tracking
• Data governance frameworks (especially regulated-industry standards)

Pharma / Life Sciences Domain Knowledge

• Familiarity with GxP-regulated data environments
• Understanding of the pharma value chain (R&D, Manufacturing & Quality, Commercial, Drug Development)
• Awareness of data privacy/compliance considerations (21 CFR Part 11, GDPR where applicable)
• Knowledge of common pharma data domains (clinical, manufacturing, quality, commercial)

Stakeholder Management

• Requirements gathering and translation (business need technical spec)
• Cross-functional communication (Business IT)
• Executive-level presentation skills (given EC visibility)
• Change management / adoption support

Analytical & Strategic Thinking

• Prioritization frameworks (identifying high-impact vs. low-value data asks)
• Cost-avoidance mindset (spotting duplication before it happens)
• Ability to work with ambiguity and evolving priorities

Project & Program Skills

• Agile/Scrum familiarity
• Documentation discipline (data dictionaries, source-to-target mappings)
• Vendor/partner coordination (if external data sources are involved)

Nice-to-Have Differentiators

• Prior consulting or client-facing delivery experience
• Experience standing up new data domains from scratch (green-field vs. maintenance)
• Familiarity with AI/GenAI-enabled analytics tools

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:

Digital Transformation and strategy consulting. Custom Software Development tailored to specific business needs. Advanced Data Analytics and AI-driven platforms. Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.

Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.