Jobs at RADcube LLC

Build and maintain observability across enterprise data pipelines by implementing data quality, freshness, volume, and schema monitoring. Configure tooling such as Monte Carlo, Great Expectations, CloudWatch, and Datadog; create alerts, maintain SLAs and runbooks, and perform incident triage and root cause analysis. The role requires AWS data services, Python, SQL, and data quality framework expertise.

Build and maintain observability across enterprise data pipelines, including data quality checks, freshness, volume, schema monitoring, alerting, incident triage, root cause analysis, SLA management, and runbooks. Configure tools such as Monte Carlo, Great Expectations, CloudWatch, and Datadog to improve pipeline reliability and data trust.

Designs and builds AWS data ingestion pipelines for structured and unstructured data supporting analytics and AI/GenAI use cases. Responsibilities include developing data lake ingestion frameworks, preparing AI-ready datasets through document parsing, chunking, and embedding pipelines, and creating reusable metadata-driven solutions. Requires AWS services, Python, and PySpark experience, with Bedrock, vector databases, and OpenSearch as preferred skills.

Design and build AWS-based ingestion pipelines for structured and unstructured data supporting analytics and AI/GenAI use cases. Prepare AI-ready datasets through document parsing, chunking, and embedding workflows, while developing reusable, metadata-driven ingestion frameworks.

Drive Agile delivery for a distributed data engineering team by facilitating Scrum ceremonies, grooming backlogs, planning releases, removing blockers, tracking velocity, reporting delivery metrics, and coordinating handoffs between onshore and offshore teams.

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.

Build and support AWS-based ETL pipelines for PRA regulatory and reporting data within the NURO program. Translate business reporting requirements into data models, maintain data lineage, ensure auditability and accuracy, and follow data governance and GxP-aware practices.

Ensure the quality and validation of data pipelines and deliverables across Affiliate projects. Design and execute data validation, reconciliation, and regression test strategies; automate tests using Python or PyTest; integrate automated testing into CI/CD pipelines; and maintain documentation aligned with GxP/CSV standards where applicable.

Build and maintain scalable consumer data pipelines on Databricks using PySpark, Spark SQL, and Delta Lake. Implement medallion architecture, Unity Catalog, and Workflows. Optimize cluster performance and costs, and monitor and troubleshoot production jobs.

Build and maintain scalable consumer-facing data pipelines on Databricks using PySpark, Spark SQL, and Delta Lake. Implement medallion architecture, Unity Catalog, and Workflows. Optimize cluster performance and costs, and monitor and troubleshoot production jobs. The role requires data engineering experience with Databricks, PySpark, SQL, Git, and CI/CD; pharma or consumer data experience and Databricks certification are preferred.

Ensure the quality and validation of data pipelines and deliverables across affiliate projects. Design and execute data validation, reconciliation, and regression test strategies; automate data tests using Python or PyTest; integrate tests into CI/CD pipelines; and maintain documentation aligned with GxP/CSV standards when applicable.

Build and support AWS-based ETL pipelines for regulatory and reporting data within the NURO program. Translate business reporting requirements into data models, emphasizing data lineage, auditability, accuracy, governance, and GxP-aware practices. Collaborate with business subject matter experts and support data processing using AWS Glue, Redshift, S3, Athena, SQL, and Python.

Develops and operates an AWS-based data platform supporting affiliate markets. Responsibilities include building ingestion and transformation pipelines, harmonizing multi-country data into common models, and providing production support, monitoring, and break-fix services through a shift rotation.

Drive Agile delivery for a distributed data engineering team across multiple time zones. Facilitate sprint ceremonies, backlog grooming, and release planning; remove blockers; track velocity; report delivery metrics; and coordinate handoffs between onshore and offshore teams.

Leads data architecture and engineering for the META initiative, owning solution design, data modeling, pipeline architecture standards, code reviews, engineer mentorship, performance tuning, and technical roadmap decisions. Partners with architects and business leaders to guide implementation and ensure scalable, high-performing data solutions.

Develops and operates a data platform supporting affiliate markets. Builds and maintains ingestion and transformation pipelines, harmonizes multi-country data into common models, and provides production support, monitoring, and break-fix assistance through a shift rotation.

Develop and maintain secure, high-performance native iOS applications using Swift, SwiftUI, UIKit, and Xcode. Integrate REST APIs and enterprise systems, implement offline functionality, synchronization, notifications, location services, authentication, and encryption. Write automated tests, manage releases, troubleshoot performance issues, participate in Agile ceremonies and code reviews, and mentor junior developers. The role requires strong iOS architecture, networking, storage, security, CI/CD, and accessibility knowledge.

Acquire and close new B2B clients for RADcube’s IT services and consulting offerings. Build a self-generated pipeline through outreach, referrals, events, and partners; engage senior decision-makers; lead discovery and solution selling; develop proposals and pricing with technical teams; manage negotiations through signed agreements; maintain CRM forecasts; and support client handoffs and expansion. The role requires meeting activity and new-business quotas, navigating complex buying cycles, and traveling up to 25% for client meetings and industry events.

Manage end-to-end US IT recruitment for direct-client W2 roles, including sourcing, screening, interviewing, candidate and client relationship management, offer negotiation, and timely job closure. The recruiter will maintain strong submission-to-hire ratios, stay current on technology and market trends, and consistently meet hiring targets in a fast-paced environment.

Designs and owns data architecture, models, governance, security, and scalable solutions on modern data platforms. Translates business needs into technical designs, guides data engineers, enables AI use cases, leads stakeholder discussions, and identifies opportunities to expand the client engagement. The role is client-facing and requires local Indianapolis availability for onsite or hybrid work.