Senior Data Engineer

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.