Senior Data Engineer

Job Details

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This role is for a Senior Data Engineer with over 5 years of experience in data engineering, strong SQL, and Python skills.

Hybrid position in Newton, MA. Contract duration: more than 6 months.

Our client, a global technology consulting services firm, is hiring for a Senior Data Engineer. The organization builds large scale data platforms, analytics systems, and AI ready infrastructure for enterprise customers across industries such as healthcare, financial services, and digital products.

• 5+ years professional experience in data engineering or data platform development
• Strong SQL and advanced data modeling skills
• Proficiency in Python or another language commonly used for data processing
• Experience building and maintaining complex ETL or ELT pipelines
• Hands-on experience with cloud data platforms and storage systems
• Experience with data warehouses or lakehouse architectures
• Understanding of data quality, validation, and testing practices
• Ability to design efficient, production‑ready data workflows
• Experience reviewing and guiding technical design decisions
• Comfortable working with cross‑functional technical teams

• Experience with workflow orchestration tools such as Airflow or similar schedulers
• Experience with transformation frameworks such as dbt or equivalent tooling
• Familiarity with distributed processing frameworks such as Spark
• Experience with Snowflake, Big Query, Redshift, Databricks, or similar platforms
• Exposure to analytics, BI, or machine learning data preparation workflows
• Experience implementing data governance and access controls
• Performance tuning and query optimization experience
• Consulting or client‑facing project experience

• Design and implement scalable data ingestion and transformation pipelines
• Build and maintain data warehouses, lakes, and analytics data layers
• Improve reliability, observability, and performance of existing pipelines
• Partner with analytics and application teams to define data structures and contracts
• Implement data quality checks and monitoring
• Optimize storage layouts and query patterns for large datasets
• Document data flows and architectural decisions
• Support production data systems and troubleshoot issues

• Cloud data platforms and managed storage systems
• Modern data warehouses and lakehouse technologies
• Batch and near real time pipeline frameworks
• Orchestration and scheduling tools
• SQL and Python based data processing

• Majority hands‑on pipeline and platform development
• Regular collaboration with engineering and analytics teams
• Architecture and design input on new data systems

• Competitive base salary with potential bonus eligibility
• Medical, Dental, Vision Benefits
• Paid Time Off (PTO)
• 401k with company match if applicable

Applicants must be currently authorized to work in the U.S. on a full‑time basis now and in the future.

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