Data engineer jobs in Framingham Center, MA and nearby

Data engineer jobs within 25 miles of Framingham Center, MA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 1, 2026

Hiring at a glance

View jobs

Open jobs: 94
Employers: 56

Advertised starting pay

Average starting payUSD / year: $118,069Across 11 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 6%6 listings
On-site: 3%3 listings

Not specified: 90% (85 listings)

Employers hiring include Capital One (6), Eliassen Group (6), Xometry (6).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Framingham Center, MA and nearby

Within 25 miles

Save this search

Added 9 hours ago
Data Engineer- Consultant AI& E
Deloitte US
Boston, MA
…wants to work in a collaborative environment? As an experienced Data Engineer-Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 10 hours ago
Data Engineer
Deloitte US
Boston, MA
…wants to work in a collaborative environment? As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive…
Added 2 days ago
EG
Senior Data Engineer
Eliassen Group
Boston, MA
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 3 days ago
Sr Databricks Data Engineer
Deloitte
Boston, MA
Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks…
Added 3 days ago
Databricks Data Engineer
Deloitte
Boston, MA
Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence…
Added 3 days ago
Data Engineer II
Deloitte
Boston, MA
Added 3 days ago
Data Engineer 5 (Senior Manager, IC)
Capital One
Cambridge, MA
…real problems and meet real customer needs. We are seeking a Data Engineer 5 (Senior Manager, IC) who is passionate about marrying data with emerging technologies. In this…
Added 3 days ago
Data Engineer 5
Capital One
Cambridge, MA
…real problems and meet real customer needs. We are seeking a Data Engineer 5 who is passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of…
Added 4 days ago
EG
Data Engineer
Eliassen Group
Boston, MA
- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 5 days ago
Intern - Data Engineer
The Hanover Insurance Group
Worcester, MA
Added 5 days ago
Intern - Data Engineer
The Hanover Insurance Group
Worcester, MA
Added 5 days ago
Intern - Data Engineer
The Hanover Insurance Group
Worcester, MA
Added 5 days ago
Senior Data Engineer (REMOTE OR MA BASED)
The Hanover Insurance Group
Worcester, MA
Our technology team is currently seeking a Senior Data Engineer to join our growing team in our Worcester MA office, or via a remote work arrangement.
Added 5 days ago
Staff Data Engineer
natgridProd
Waltham, MA
Added 5 days ago
PB
Lead Cloud Data Engineer
Panera Bread
Newton, MA
- $127,461 to $163,660 USD / year
Added 5 days ago
IC
Forward Deployed Data Engineer - Hybrid (Acton, MA or San Diego, CA)
Insulet Corporation
Acton, MA
- $143,700 to $215,550 USD / year
As a Forward Deployed Data Engineer, you will lead the delivery and adoption of cutting-edge data and AI products across the organization.
Added 5 days ago
Principal Data Engineer
Vesalius Therapeutics
Cambridge, MA
Added 5 days ago
Principal Data Engineer
Flagship Pioneering, Inc.
Cambridge, MA
Added 5 days ago
Sr. BI Data Engineer
Boston Beer
Boston, MA
As a Senior BI Data Engineer, you will design, build, and optimize enterprise-scale data solutions that power analytics and business decision-making across Boston Beer. You will work…
Added 6 days ago
Microsoft Fabric Data Engineer
Insight Global
Waltham, MA
Our Pharma client is seeking a hands-on Microsoft Fabric Data Engineer to support a large-scale data modernization initiative focused on Patient Services. This individual will play a key…
Added 8 days ago
Product Data Engineer
Anduril Industries
Waltham, MA
…OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and…
Added 8 days ago
Senior Data Engineer, Supply Chain & AI - Onsite Framingham, MA
Staples Canada
Framingham, MA
As a Senior Data Engineer I, you will design, build, test, deploy, and operate modern data products for Stapl
Added 9 days ago
Data Engineer and Analytics Platform Manager - Assistant Director
EY
Boston, MA
Added 9 days ago
Senior Scientific Data Engineer
Kelly Services
Cambridge, MA
A leading scientific data and AI technology organization is seeking a Senior Scientific Data Engineer to play a key role in designing and delivering advanced data solutions for customers in…
Added 9 days ago
KS
Senior Scientific Data Engineer (Remote in MA)
Kelly Services
Boston, MA
- $140,000 to $200,000 USD / year
A rapidly growing scientific data and AI technology company is seeking a Senior Scientific Data Engineer to join its fully remote team. This role offers the opportunity to work at the…

Panera Bread

Lead Cloud Data Engineer

Newton, MA, United States
Fenton, MO, United States

$127,461 to $163,660 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $127,461 to $163,660 USD / year
Experience: 5+ years of hands-on experience designing, building, and delivering large-scale enterprise data platforms and pipelines on Google Cloud Platform (GCP) or similar.
Posting language: English
Posted: Oct 27, 2026

Original job description

Panera Bread is more than just a bakery-café; it’s a digital leader reshaping the quick-service restaurant industry. With over half of our sales generated through digital channels, Panera has led innovations like Rapid Pick-Up®, drive-thru ordering, geofencing for mobile pickup, and personalized loyalty programs. We’re transforming and building best-in-class omnichannel dining at scale, merging hospitality with advanced technology to deliver seamless experiences for millions of guests each week. A visionary technology leader ready to design systems that handle billions of transactions, lead top-performing teams, and shape the future of digital dining, Panera offers the opportunity to make a significant industry impact. Join us & help revolutionize & transform the way world experiences food.

Position Summary We are seeking a highly skilled, hands-on Lead Cloud Data Engineer to lead the design, development, delivery, and operational excellence of our enterprise data platforms on Google Cloud Platform (GCP). This role serves as a critical bridge between enterprise architecture and solution delivery, translating strategic data architecture into scalable, secure, reliable, and production-ready data solutions that support both operational and analytical business needs. The successful candidate will provide hands-on development support, technical leadership across the full data lifecycle, including data ingestion, integration, streaming, transformation, orchestration, governance, retention and production operations. Combining deep technical expertise with strong leadership and mentoring capabilities, this individual will lead a team of data engineers, establish engineering best practices, drive delivery excellence, and ensure the performance, scalability, reliability, security, and cost efficiency of enterprise data solutions. As a data engineer, you will partner closely with architects, product owners, business stakeholders, and platform engineering teams to deliver high-impact data products and capabilities that enable strategic business outcomes. The role requires exceptional problem-solving skills, a passion for engineering excellence, and a proven ability to drive architectural consistency, code quality, automation, and operational maturity across the data ecosystem. The ideal candidate will also stay at the forefront of emerging AI, Generative AI, and agentic technologies, identifying opportunities to improve engineering productivity, automation, data quality, and overall platform efficiency.

Duties & Responsibilities

Design, develop, test and deploy large scale enterprise data engineering pipelines and data processing ETL/ELT routines in Google Cloud data platform
Lead, mentor, and develop a team of data engineers, fostering a culture of technical excellence, collaboration, accountability, innovation, and continuous learning.
Drive the design, development, and deployment of scalable batch, real-time, and streaming data pipelines aligned with enterprise architecture standards, cloud well-architected principles, and business objectives.
Translate enterprise data architecture patterns into practical, secure, scalable, and production-ready solutions that support operational, analytical, and data product workloads.
Establish, enforce, and continuously improve engineering best practices, including solution design reviews, code reviews, reusable frameworks and design patterns, modular development, testing standards, CI/CD practices, release management and deployment governance.
Design and implement enterprise workflow orchestration, scheduling, and automation solutions to enable reliable, efficient, and resilient data processing across the data ecosystem.
Define and promote reusable architectural patterns, frameworks, and standards that improve solution consistency, maintainability, scalability, and operational efficiency.
Ensure all solutions adhere to enterprise data governance, data quality, security, privacy-by-design, regulatory compliance, and Data-as-a-Product principles.
Drive the evaluation, adoption, and implementation of emerging technologies that create measurable business value and improve the effectiveness of the data engineering platform.
Own and lead production operations, including release management, monitoring, observability, incident response, root cause analysis (RCA), problem management, and continuous improvement.
Partner closely with support and operations teams to ensure platform stability, reliability, resiliency, and compliance with enterprise change management and operational processes.
Collaborate with enterprise architects, product owners, business analysts, BI developers, data engineers and cross-functional stakeholders to align data engineering solutions with business priorities, governance requirements, and data product delivery goals.
Optimize platform performance, scalability, reliability, and cost efficiency through effective use of cloud-native technologies, automation, and engineering best practices.
Evaluate and leverage emerging AI, Generative AI, and agentic AI capabilities to enhance data engineering productivity, automate operational processes, improve data quality and data cataloging, and accelerate data solution delivery.

Qualifications

Education:

Bachelor’s degree in computer science, Engineering, MIS, or related field (Master’s preferred).

Experience:

5+ years of experience in data engineering, data platform development, and cloud-based data solutions, including demonstrated technical leadership, & team mentoring responsibilities.
5+ years of hands-on experience designing, building, and delivering large-scale enterprise data platforms and pipelines on Google Cloud Platform (GCP) or similar.
4+ years of hands-on experience with BigQuery, including SQLroutines performance tuning, query optimization, workload management, partitioning, clustering, materialized views, and query optimization.
4+ years of hands-on experience with Dataflow (Apache Beam), Dataproc (Managed Apache Spark), Python, PySpark, SQL, and Pandas for large-scale batch, streaming and real-time data processing.
Proven experience managing cloud infrastructure consumption, capacity planning, environment provisioning, and cloud cost optimization, including reservation and usage optimization strategies.
Deep expertise with Cloud Storage, Cloud SQL, Datastore, DataStream (CDC), Pub/Sub, and event-driven architectures supporting operational, analytical, real-time, and streaming data integration.
Hands-on experience with Cloud Run, Cloud Functions, Compute Engine, App Engine and serverless computing architectures supporting batch, real-time, and streaming data processing solutions.
Advanced experience designing and implementing workflow orchestration and automation solutions using Cloud Composer (Managed Airflow DAG), Cloud Workflows, Cloud Scheduler, and serverless execution frameworks.
Experience implementing Infrastructure as Code (IaC), CI/CD pipelines, and automated deployment practices using Terraform Cloud and GitLab.
Demonstrated experience implementing Data Governance, Data Quality, Metadata Management, Master and Reference Data Management, and Data-as-a-Product principles within enterprise data ecosystems.
Experience working with enterprise data ecosystems and related technologies, including Oracle EDW, PostgreSQL, Kafka, Power BI, and Looker.
Strong analytical, problem-solving, and troubleshooting skills, with the ability to resolve complex technical challenges in large-scale, production-grade environments.
Excellent communication and stakeholder management skills, with the ability to influence technical and business teams and effectively communicate complex concepts with diverse audiences.
Working knowledge of cloud security, networking, and governance, including IAM, VPC networking, firewall management, observability, logging, Data Loss Prevention (DLP), Dataplex (Knowledge Catalog), and enterprise data catalog’ing practices.
Working knowledge of AI and agentic development capabilities, including Vertex AI, Google Gemini Enterprise, Agent Studio, Model Garden, Agent Development Kit (ADK), and MCP integrations a plus.

Working Conditions Hybrid work environment with onsite presence required in Newton MA/or St Louis, MO Physical Requirements Regularly required to sit, stand, talk, hear, and use hands and fingers to operate keyboards and devices. Direct Reports No. Train and Mentor Junior engineers, and contract workers

Additional Description :

Competitive salary $127,461 - $163,660 annually.

Apply About employer

More about this job

Skills

Google Cloud
Leadership
Coaching
Lead a team
Problem solving
Data engineering
Process data
Collaboration
Architecture regulations
CI/CD
Workflow
Scheduling
Incident response
Root cause analysis
Process improvement
Regulatory compliance
Change management
Cataloging
Computer science
MIS
BigQuery
Apache Spark
Python
PySpark
SQL
Apache Airflow
Infrastructure as code
IBM Terraform
GitLab
Data management
Oracle
PostgreSQL
Apache Kafka
Microsoft Power BI
Looker
Troubleshooting
Communication skills
Stakeholder management
Identity and access management
Loss prevention

Report this job