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Senior Data Engineer

Remote / Online - Candidates ideally in
New Jersey, USA
Listing for: Genmab A/S
Remote/Work from Home position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Big Data
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Senior Data Engineer page is loaded## Senior Data Engineer locations:
Princeton posted on:
Posted Todaytime left to apply:
End Date:
February 27, 2026 (3 days left to apply) job requisition :
R15549

At Genmab, we are dedicated to building extra[not]ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.

Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.

Genmab US, Inc.
** Senior Data Engineer
***
* Location:

** Plainsboro, NJ
** Job Description
** The Senior Data Engineer will collaborate with business analysts and data scientists to implement data-driven solutions for business challenges. Design, implement and manage ETL data pipelines that ingest vast amounts of commercial and scientific data from public, internal and partner sources into various repositories on a cloud platform (AWS). Enhance end-to-end workflows with automation that rapidly accelerate data flow with pipeline management tools.

Implement and maintain databases for raw and processed commercial and scientific data. Innovate and advise on the latest technologies and standard methodologies in Data Engineering and identify software solutions that can address hurdles in data enablement. Develop and maintain accurate and reliable data pipelines using Python and SQL. Define and contribute to data engineering practices for the group, establish templates and frameworks, and determine the best usage of specific cloud services and tools.

Transform data using Python on challenges varying from complex aggregations, wrangling, quality control, and calculations. Collaborate with data scientist leads to determine best-suited data enablement methods to optimize the interpretation of the data, including creating presentations and leading tutorials on data usage. Participate in code reviews and contribute to best practices in data engineering. Apply value-balanced approaches to the development of the data ecosystem and pipeline initiatives.

Proactively communicate data ecosystem and pipeline value propositions to partnering scientific collaborators. Share expertise of Python and related libraries throughout the group. This position requires only little domestic travel. Position allows working from home within commuting distance of worksite location. Annual salary between: $-$.
** Job Requirements
** Requires at least a Bachelor’s degree or foreign equivalent in Information Technology, Bioinformatics, or a closely related field. Employer will accept candidates with any suitable combination of education and experience. Must possess at least 5 years of experience with each of the following: (a) developing and managing large-scale ETL data pipelines on AWS; (b) developing and maintaining data pipelines using Python and SQL;

(c) designing and implementing ETL solutions for processing data using Kinesis; (d) utilizing all of the following: AWS Glue; AWS Step Functions; CI/CD;
Redshift;
Lambda;
Docker;
Linux Shell Scripting;
Pandas;
Pyspark;
Numpy; software development methodologies; and Batch and Elastic Load Balancing. This position requires only little domestic travel. Position allows working from home within commuting distance of worksite location.#LI-DNIFor US based candidates, the proposed salary band for this position is as follows:$0.00---$0.00

The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and…
Position Requirements
10+ Years work experience
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