Senior Data Engineer

Job Description

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.

This role is hybrid in Newton, MA.

Required Skills and Experience

5 plus years of 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

Desired Skills and Experience

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, BigQuery, 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

What You Will Be Doing

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

Tech Breakdown

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

Daily Responsibilities

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

The Offer

Competitive base salary with potential bonus eligibility

Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off PTO
401k with company match if applicable

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