Machine Learning Data Engineer

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

About Us:

We're building software products that rely on data - for insights, automation, and powering customer-facing features. We want to make sure our data is clean, reliable, and usable from the start.

We're looking for a Data Engineer who can own the pipelines, schemas, and infrastructure that make our data trustworthy and easy to work with. You'll help us design how data flows through our systems and work closely with engineers, PMs, and data scientists to make it useful.

What You'll Do:

• Design and maintain data pipelines (batch & streaming) to move data between systems.
• Build and manage databases, schemas, and data warehouses.
• Ensure data quality, consistency, and reliability.
• Work with backend engineers to design event streams, APIs, and logging that generate useful data.
• Make it easy for product and business teams to query and analyze data.
• What We're Looking For
• Strong SQL skills and experience with relational databases (Postgres, MySQL, etc.).
• Experience with data warehouses (BigQuery, Snowflake, Redshift, etc.).
• Hands-on with ETL/ELT pipelines (Airflow, Kafka, or similar).
• Proficiency in a scripting language (Python preferred).
• Comfort with cloud services (GCP/AWS).
• Bonus: experience setting up analytics stacks (Looker, Tableau, Mode, etc.).

A Few Things You Might Work On in the First 3-6 Months

1. Build an ETL pipeline to pull data from production systems into a warehouse for analytics.
2. Design a data model that helps engineers and PMs track key product metrics.
3. Set up monitoring for data quality so we know when pipelines break or data looks suspicious.

Minimum Qualifications

• 2-5 years years of related experience in data engineering, data analysis, data warehouses, data lakes.
• Education: Bachelor's degree
• Certifications (AWS Big Data, GCP Data Engineer, Snowflake) recommended but optional

This is a foundational role - you'll define how data is captured, stored, and used across the company. If you want to shape the backbone of our data strategy while working closely with product and engineering, this role is for you.