Data Engineer (Contract) - Hybrid, Data Pipelines & Modeling

C4 Technical Services; East Hanover (NJ); Hybrid; USD 83,000 - 152,000; Full time

Job summary

C4 Technical Services is seeking a Data Engineer on a contract basis for 3 months in East Hanover, NJ. This hybrid role focuses on designing and operationalizing data and analytical models to drive long-term business results.

You will partner with analytics teams to gather requirements, develop data products, and implement data pipelines, models, and governance processes. A strong foundation in ETL, data warehousing, and BI tooling is essential.

Qualifications

• Bachelor's degree in a related field and relevant data engineering experience.
• Experience with ETL, data pipelines, and data modeling.
• Experience with SAP and diverse data sources in analytics projects.
• Ability to communicate complex concepts to non-technical audiences.

Responsibilities

• Partner with MDS to ensure data accessibility, retrievability, security and protection of data.
• Collaborate with Product Owners, BI Developers and Business Leads to gather requirements and drive improvements.
• Develop UAT and SIT test cases based on data product requirements.
• Support scoping, building, testing, and maintaining data pipelines and datasets.
• Build and maintain data models and reconcile multiple source models into a single logical model.
• Analyze data sources for integrity, completeness and accuracy.
• Participate in data governance and document for reusability by the business.
• Understand data and metadata to support retrieval, analysis, and interpretation.

Skills

Data engineering concepts

Communication

Requirements analysis

Cloud knowledge

Education

Bachelor's degree in Computer Science

Tools

SAP

Alteryx

Power BI

Tableau

Azure

GCP

CI/CD

Job description

C4 Technical Services is seeking a Data Engineer on a contract basis for 3 months in East Hanover, NJ. This hybrid role focuses on designing and operationalizing data and analytical models to drive long-term business results.

You will partner with analytics teams to gather requirements, develop data products, and implement data pipelines, models, and governance processes. A strong foundation in ETL, data warehousing, and BI tooling is essential.