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# Manager, Data Engineer, Development & TechOps

- **Company:** Genmab Inc
- **Location:** Princeton, NJ, United States (Remote available)
- **Salary:** $139,506.0 - $159,840.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Clinical Data Repository, Information Engineering, Extract Transform Load (ETL), Linux, Python (Programming Language), Machine Learning, Cloud Services, SQL Databases, Data Streaming, Data Processing, Cloud Platform System, Apache Spark, State Machines, Git, Build Management, Pyspark, Information Technology, AWS Glue, Data Analytics, Data Management, Terraform, Data Pipelines, Serverless Computing
- **Published:** July 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9b18309f71d1b4df

## About the Role

Requires a Master's degree in Data Analytics Engineering, Computer Science, or a related field plus three years of experience as a Data Engineer or Data Management Specialist, and one year of experience with all of the following: (a) designing, developing, and maintaining large-scale, event-driven data pipelines and architectures to support analytics; (b) building and optimizing Lakehouse environments on AWS S3, Redshift, and Glue; (c) implementing serverless, self-healing pipelines using AWS Glue, PySpark, and Step Functions with automated data-quality checkpoints; (d) creating automated extract, transform, and load processes; (e) collaborate with cross-functional stakeholders to understand business requirements and develop applications that support digital transformation initiatives; and (f) utilizing each of the following: Python; Spark; SQL; Terraform; Airflow; Git; Linux; and Agile Software Development.

## Description

The Manager, Data Engineer, Development & TechOps will contribute to the mission of the global data engineering function and will be responsible for architecture, access, classification, standards, integration, pipelines and visualization. Handle architecture and data enhancements in the field of Development and Clinical data, particularly implementing hyperautomation with tools like intelligent document processing and robotic process automation and event-driven automation workflows. Create workflows, connect systems, enable tracking of data, implement triggers and configure programmatic accessibility to enable job automation, including event-based triggers. Utilize knowledge in machine learning, OCR, and intelligent document processing to develop and implement advanced data processing systems. Design and build efficient data pipelines and solutions that improve current business process and reduce time value, including large-scale, event-driven data pipelines and architectures. Collaborate
with cross-functional teams to understand business requirements and develop AI/ML applications that support digital transformation initiatives. Remain current with emerging technologies in the field of data engineering and identify opportunities to leverage them for enhanced efficiency and performance. Optimize data workflows and implement scalable solutions to accelerate AI adoption and streamline data processing. Document and communicate data engineering processes, best practices, and insights to stakeholders, promoting knowledge sharing and collaboration. 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), including AWS S3, Redshift, and Glue. Enhance end-to-end workflows with automation that rapidly accelerate data flow with pipeline management tools such as Step Functions and other orchestration tools. Manage relationships and project
coordination with external parties such as Contract Research Organizations (CRO) and vendor consultants/ contractors. Define and contribute to data engineering practices for the group, including establishing templates and frameworks, determining best usage of specific cloud services and tools, and working with vendors to provision cutting edge tools and technologies Position may allow working from home within commuting distance of worksite location. Annual salary between: $139,506 - $159,840.


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