Manager, Data Engineer, Development & TechOps
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At a glance
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Credentials this posting asks for.
Job overview
Genmab US, Inc. is hiring a Manager, Data Engineer, Development & TechOps. Genmab seeks a Manager, Data Engineer, Development & TechOps in Plainsboro, NJ to lead architecture, data access, classification, standards, integration, pipelines and visualization, focusing on hyperautomation, machine learning, and cloud‑based solutions while collaborating with cross‑functional teams.
Key focus areas include Contribute to global data engineering mission and define architecture, access, classification, standards, integration, pipelines and visualization, Design and implement hyperautomation solutions using intelligent document processing, robotic process automation and event‑driven workflows, and Develop and maintain large‑scale, event‑driven data pipelines and lakehouse environments on AWS S3, Redshift and Glue.
Important skills include Amazon S3, Redshift, AWS Glue, AWS Step Functions, Large-Scale, Event-Driven Data Pipelines Design, and Lakehouse Environments Building. Preferred (not required): Hyperautomation, Intelligent Document Processing, RPA, and Event-Driven Automation Workflows.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Experience Required
3 years
Minimum Education Required
Master's degree
Compensation
$139,506.00 - $159,840.00 / Yearly
Hours Per Week
40
Number Of Positions
1
Shift
First Shift (Day)
Job Description
Genmab seeks a Manager, Data Engineer, Development & TechOps in Plainsboro, NJ.
POSITION DUTIES: 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.
POSITION REQUIREMENTS: 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.
Benefits: Within the first year, regular full-time U.S. employees are eligible for:
401(k) Plan: 100% match on the first 6% of contributions
Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance
Voluntary Plans: Critical illness, accident, and hospital indemnity insurance
Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave
Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support
Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expense
Interested applicants should send cover letter + resume to:
Karen Wolf, Senior Talent Acquisition Manager
Genmab US, Inc.
777 Scudders Mill Road
Plainsboro, NJ 08536
Phone: 609 246 0876
Email: [email protected]
Place of Work
Hybrid
Requisition ID
Job Type
Full Time
Application Email
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