# Clinical Data Engineer

**Company**: ICON Strategic Solutions
**Location**: Chennai, India
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://icon.wd3.myworkdayjobs.com/en-US/broadbean_external/job/India-Chennai/Clinical-Data-Engineer_JR164448?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/clinical-data-engineer-e04f3bc4-9b6/

## Description

As a Clinical Data Engineer at ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON's global expertise.

The Clinical Data Enablement Manager (FSP) is responsible for supporting the operation and continuous improvement of clinical data pipelines across cloud-based data lake and data warehouse environments.

**Responsibilities:**

- Support end-to-end clinical data pipelines across lake/warehouse environments (build, run, monitor, maintain, troubleshoot) to ensure stable, traceable operations.

- Assist with operational support activities including monitoring/alerting, incident triage, root cause analysis support, and implementing corrective/preventive actions under guidance.

- Develop and enhance cloud ETL/ELT pipelines (AWS/Azure) for ingestion, transformation, and delivery, following established patterns and standards.

- Implement automation for scheduling, repeatable ingestion, and automated quality checks to improve reliability and timeliness.

- Design, develop, and maintain operational dashboards and data visualizations using approved platforms to support pipeline health monitoring, data quality oversight, and operational reporting for stakeholders.

- Support vendor and cross-functional integrations by implementing data transfers per specifications, performing validation/reconciliation, and escalating issues as needed.

- Collaborate with downstream teams (Stat Programming, SDTM, Analytics, Clinical Data Programming) to understand data needs and deliver required datasets/exports (format, structure, cadence).

- Contribute to on-time, high-quality delivery against agreed specifications and participate in tracking and reporting operational KPIs (e.g., timeliness, success rate, defects) through dashboards and metrics.

- Follow controlled documentation and change practices for regulated clinical processes; support GxP/CSV activities by maintaining required documentation, test evidence, and traceability as assigned.

- Apply data integrity practices (e.g., ALCOA+ expectations per internal standards) and adhere to access controls and audit trail/logging requirements in collaboration with Quality/Compliance/IT.

**Required qualifications and experience:**

- Education/Experience: BS/BA (or equivalent) plus 5+ years in data engineering, pipeline development/operations, and multi-source data integration (clinical/biopharma preferred).

- Core skills: Foundational SQL skills; understanding of basic data modeling and data quality checks; familiarity with integration patterns (NoSQL exposure a plus).

- Programming/SDLC: Proficiency in Python (preferred) or R; exposure to building/supporting pipelines with basic testing, logging, and monitoring; familiarity with Agile/SDLC concepts; Jira/Confluence experience preferred (or ability to learn quickly).

- Visualization & Reporting: Hands-on experience designing and supporting operational dashboards and data visualizations using tools such as Power BI, Tableau, and/or QlikView, with an understanding of data refresh, access controls, and performance considerations.

- Data standards: Awareness of CDISC/CDASH/SDTM concepts and willingness to learn how standards impact downstream clinical deliverables.

- Data formats & Interfaces: Hands-on with CSV, JSON, XML and file/API-based integrations; able to follow transfer specifications and validate outputs.

- Cloud/platforms: Exposure to AWS and/or Azure and modern data platforms (e.g., Snowflake, Databricks, Spark); ability to implement within established frameworks and standards.

- DevOps: Working knowledge of GitHub/GitLab version control; CI/CD exposure is a plus.

- GxP & Data integrity: Experience or exposure to GxP-regulated practices (documentation, change control, audit readiness) and understanding of data integrity expectations; able to follow controlled procedures and maintain required evidence.

- Ways of working / working style: Strong collaboration and communication; organized, detail-oriented, proactive; able to prioritize tasks, follow guidance, and deliver to deadlines in a fast-paced environment.

**Rewards & Benefits:**

- Competitive base salary and performance-related incentives

- Health and wellbeing programmes including medical, dental, and vision coverage where applicable

- Retirement and pension plans

- Life assurance and disability coverage

- Employee assistance programmes and wellbeing resources

- Learning and development opportunities through structured training and career pathways

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Python
- R
- SQL
- AWS
- Azure
- Power BI
- Tableau
- QlikView
- CDISC
- CDASH
- SDTM
- GitHub
- GitLab

### Nice to have
- Advanced Python
- AWS certification
- Azure certification
- regulatory inspection/audit support experience

---

Source: [Apply at icon.wd3.myworkdayjobs.com](https://icon.wd3.myworkdayjobs.com/en-US/broadbean_external/job/India-Chennai/Clinical-Data-Engineer_JR164448?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)