Job Details:

Scientific Data Pipeline Development

• Build and maintain end-to-end pipelines to ingest scientific data into TetraScience, including trigger-based processing and orchestration patterns.
• Implement ETL/ELT transformations to produce standardized, analysis-ready outputs and reusable pipeline components.

2) Parsers, Schemas, and Data Modeling

• Develop/productionize parsers and data schemas for diverse scientific formats (e.g., .xlsx, .pdf, .txt, .raw, .fid and other vendor binaries
• Design and evolve data models aligned to scientific workflows and integration patterns (instrument → SDMS/ELN/LIMS).

3) AWS Cloud Engineering (TDP-aligned)- Nice to have

• Engineer cloud-native pipeline components leveraging AWS primitives commonly used with TDP deployments (e.g., containerized services + Lambda + S3 + query via Athena).
• Implement observability and operational monitoring using AWS-native monitoring patterns (dashboards/alarms/metrics).

4) Integration & APIs

• Integrate with lab and enterprise systems using REST APIs and managed gateway patterns; support secure data exchange between instrument sources and informatics targets.
• Collaborate on bidirectional integration use cases across ELN/LIMS/SDMS ecosystems.

5) Quality, Validation, and Reliability

• Build automated unit/integration tests for pipelines, ensure data integrity checks, and support audit-ready traceability practices.
• Troubleshoot pipeline failures using logs/metrics and implement resilient error handling and retries.

6) Delivery Collaboration

• Work with product owners, solution architects, scientists, and cross-functional teams to ensure pipelines fulfill scientific and operational requirements and deliver measurable value.

Required Skills & Experience (Must Have)

Programming & Data

• Python (data engineering, parsers, automation, testing)
• SQL (Amazon Athena) for querying data in S3-backed lake patterns

Cloud & AWS (hands-on)

• AWS VPC, Lambda, SQS, EventBridge, EC2, S3, CloudWatch (engineering + ops)

Monitoring / Visualization

• Grafana (dashboards/monitoring for pipelines and platform services)

DevOps

• CI/CD pipeline setup (build, test, deploy automation for data/pipeline code Integration & APIs

• Working with REST APIs and API Gateways (secure integration patterns; token-based auth; rate limiting)

Front-End / Data Apps

• React (data applications) + JavaScript (building lightweight UIs for pipeline observability, data workflows, or internal tooling)

Domain Knowledge

• Experience/knowledge of ELN / LIMS / SDMS concepts and how lab data moves across systems

Nice to Have

• Dockerization / Containerization experience (building and running pipeline components as containers)
• Familiarity with TDP deployment patterns where application code is containerized and runs in managed container services, with some workloads in Lambda.
• Prior exposure to scientific/life-sciences data workflows (R&D lab instruments, CRO/CDMO, regulated environments).

Education & Experience

• Bachelor’s/Master’s in Computer Science, Data Engineering, Biology, Chemistry, or related field (or equivalent experience in scientific data engineering).
• Typical experience range seen in similar postings and internal role framing: 3+ years in Python/SQL for scientific data engineering (more for senior roles).

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*

We're excited to meet people who share our mission and who can make an impact in a variety of ways. Don't hesitate to apply—even if you only meet the minimum requirements. Think about your transferable experiences and unique skills that make you stand out.

Salary and Other Compensation:

Applications will be accepted until April 16, 2026,

The annual salary for this position is between $ 75,000 - $ 115,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.