Job Title: Senior Data Engineer
Location: Marlborough, MA
Duration: 12 Months
Pay Rate: $120 $122/hour on W2
Job Overview
We are currently seeking a dynamic, motivated, and highly experienced individual for the position of
Senior Data Engineer. This role is responsible for the design, development, and optimization of enterprise-scale data infrastructure and pipelines. With deep technical expertise and over a decade of experience, the ideal candidate will support engineering strategy, ensure data platform scalability, and deliver high-quality data solutions. This individual excels in technical execution, ensuring data is accessible, reliable, and secure across the organization.
This is a
12-month W2 contract position.
Job Duties and Responsibilities Data Pipeline Development - Design scalable systems and build complex, end-to-end ETL (Extract, Transform, Load) pipelines to move data from various sources to data warehouses.
Data Governance & Security - Enforce strict data quality standards and ensure all system designs meet security compliance requirements.
Leadership & Strategy - Mentor junior engineers and translate complex business requirements into technical solutions.
Performance Optimization - Continuously monitor and troubleshoot data pipelines and databases to improve processing speed, scalability, and cost-efficiency.
Collaboration & Stakeholder Support - Ensure implemented data products meet the vision and goals of data consumers.
Documentation & Best Practices - Enforce and adhere to best practices for technical documentation related to architecture, transformation logic, and coding standards.
Experience and Education Required Qualifications - 10+ years of experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, and Data Pipelines.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
- Advanced proficiency in SQL and Python.
- Experience with at least one cloud platform: AWS, GCP, or Azure.
- Experience with BigQuery or Amazon Redshift.
- Experience with Apache Airflow and dbt.
- Must be U.S.-based and work within the Eastern or Central Time Zone.
- Fluent in English.
Preferred Qualifications - 15+ years of Data Engineering experience.
- Master's degree in Computer Science, Information Systems, Engineering, or a related technical field.
- Experience optimizing enterprise-scale data pipelines.
- Experience in the pharmaceutical industry.
- Experience with BI tools such as Tableau.