Clarivate Recruitment Drive 2025 | Clarivate Hiring Software Engineer

www.djobbuzz.com 29 Dec 2025

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By embracing aThink forward™mindset, we’re setting a progressive and transformative direction for our company every day. All we do and everything we offer is designed to keep everyone ahead of the curve in an ever-evolving world.
At Clarivate, we’re not just keeping pace with the future, we’re helping shape it. Our purpose, vision and mission tell the story of who we are and are woven into every aspect of our compan
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment.
We comply with applicable laws and regulations governing non-discrimination in all locations.

As a Data Engineer, you will develop highly scalable, cloud-native data platforms that power our DRG Fingertip and DRG (Decision Resources Group) analytics solutions—critical tools that help researchers, clinicians, scientists, and business leaders make faster, more confident decisions.
You’ll help build the data engine behind products used to accelerate drug discovery, evaluate treatment effectiveness, model patient journeys, and bring life-saving innovations to market.
This is an opportunity to build data systems that not only drive next-generation AI, but also create measurable impact in healthcare and life sciences globally.
If you’re passionate about data engineering and excited to work on platforms that enable next-generation AI, this role is for you.

Bachelor’s degree in Computer Science, Engineering, or related field.
(0-2) years of experience building scalable, production-grade data systems.
Proven ability to design massively scalable distributed data processing pipelines.
Strong background in database design, schema modeling, and performance tuning.
Hands-on expertise building and optimizing complex ETL/ELT pipelines that power ML and analytics workloads.
Experience designing resilient, fault-tolerant, cloud-native data platforms with automated disaster recovery.
Hands-on background in Agile delivery, CI/CD, and containerized workflows.
Strong understanding of data versioning, lineage, reproducibility, and metadata management — critical for AI governance.
Proficient in Python, SQL, and PySpark
Bonus: experience building data prep scripts for ML model training
Strong experience with AWS: EMR, Glue, S3, EC2, RDS, Aurora PostgreSQL, Lambda
Ability to evaluate and integrate AI-friendly tools (feature stores, vector databases, ML workflow orchestration, etc.)

Works as a data engineer and end to end ETL pipeline.
Writes quality, well-tested, documented code.
Adheres to development best practices and standards as set within the team.
Helps support existing systems, diagnosing issues and identifying bugs.
Contributes to the overall development of the platform, keeping the ‘bigger picture’ in mind.
Works closely with QA, DevOps, Product Owners, Business Analysts and Project Management.
Adheres to Agile development practices and aid the team in doing so.