Job Description
We're looking for a hands-on Data Engineer who genuinely enjoys the craft — someone who writes SQL and Python every day, takes pride in pipelines that just work, and wants their code to matter. The transformations you build here won't sit in a sandbox. They'll feed the analytics, reporting, and decisions that help protect our company.
This isn't a role for learning the fundamentals on the job. It's a role for someone who already has them and wants the space to do their best work.
Data transformation and engineering
Design, write, and maintain high-quality SQL and Python for data transformations across development and production environments.
Implement DDL and advanced data operations: enrichment, cleansing, parsing, normalization, and schema evolution.
Own existing transformations and continuously improve them as data volume, variety, and complexity grow.
Write code that is readable, testable, and maintainable, so other engineers can understand, extend, and support it.
Platform and pipeline execution
Work hands-on with cloud data services such as AWS (Glue, Lambda, Redshift), GCP (BigQuery, Dataflow, Cloud Functions), or equivalent platforms such as Azure Data Factory.
Build and operate reliable, automated pipelines deployed through our Terraform-based CI/CD setup.
Partner with platform, DevOps, and analytics teams to ensure smooth deployment, monitoring, and day-to-day operation of data workloads.
Databricks experience is a plus, not a requirement.
Engineering quality and collaboration
Apply core engineering disciplines: version control (Git), code review, and structured change management.
Communicate clearly about data logic, assumptions, and trade-offs with both technical and non-technical stakeholders.
Contribute to shared standards and best practices for SQL, Python, and ETL development.
Operate with the data quality, reliability, and compliance discipline expected in a regulated enterprise environment.
Primary skills: Data engineering, AWS, GCP/BigQuery, IaC, data lakes, GitHub, pipeline management Secondary skills: DevOps collaboration, general scripting
Required
Bachelor's degree in Computer science, Information Technology, or equivalent experience.
5+ years building data pipelines and data infrastructure, ideally in the context of GRC.
Strong, practical SQL and Python skills, specifically for data transformation and ETL.
A track record of building and maintaining production pipelines — not just prototypes or coursework.
Solid grasp of relational data modelling, normalization, and performance-aware SQL design (including warehouse-style SQL such as BigQuery or Redshift).
Hands-on experience with at least one cloud data platform (AWS, GCP, or Azure).
Comfort with Git-based workflows and automated deployment pipelines.
Clear thinking about data problems, expressed in clean, maintainable code.
Nice to have
Experience across multiple cloud data platforms (e.g., AWS and GCP/BigQuery).
Experience in regulated or enterprise environments (healthcare, life sciences, finance).
Exposure to Databricks, Spark, or large-scale analytical workloads.
Working familiarity with infrastructure-as-code (e.g., Terraform) as a consumer.
Experience supporting analytics, reporting, or data science teams as downstream consumers.
What we offer
Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!
Required Skills:
Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System DesignsPreferred Skills:
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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
RegularRelocation:
No relocationVISA Sponsorship:
NoTravel Requirements:
10%Flexible Work Arrangements:
HybridShift:
1st - DayValid Driving License:
NoHazardous Material(s):
n/aJob Posting End Date:
05/31/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.