Senior Data Engineer

Newton, MA, US • Posted 30+ days ago • Updated 5 hours ago

Full Time

On-site

$140000 - $170000/yr

Fitment

Dice Job Match Score™

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Job Details

Skills

IT Consulting
Recruiting
Artificial Intelligence
Health Care
Financial Services
Mergers and Acquisitions
Data Engineering
Data Modeling
Extract
Transform
Load
ELT
Testing
Technical Drafting
Apache Spark
Snow Flake Schema
Amazon Redshift
Databricks
Business Intelligence
Machine Learning (ML)
Workflow
Data Governance
Access Control
Performance Tuning
Query Optimization
Customer Facing
Data Structure
Data Quality
Storage
Data Flow
Cloud Computing
Data Storage
Data Warehouse
Real-time
Orchestration
Scheduling
SQL
Python
Data Processing
Collaboration
Analytics
Health Insurance
SAP BASIS

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105282
Position Id: 864504
Posted 30+ days ago

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