Data engineer jobs in the United States

Find data engineer jobs across the United States. Choose a place, compare current openings and read the employer’s requirements.

Counted Oct 28, 2026

Hiring at a glance

View jobs

Open jobs: 4,305
Employers: 1,980

Advertised starting pay

Average starting payUSD / year: $127,744Across 739 listings
Average starting payUSD / hour: $60.74Across 457 listings

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

Where work happens

Remote: 13%574 listings
Hybrid: 7%303 listings
On-site: 8%341 listings

Not specified: 72% (3,087 listings)

Employers hiring include Eliassen Group (238), Insight Global (70), Booz Allen Hamilton_United States (67).

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 the United States

Save this search

Added 8 mins ago
EG
Data Engineer
Eliassen Group
Sacramento, CA
- $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 9 mins ago
RH
Data Engineer
Robert Half
Remote, United States
- $47.5 to $55 USD / hour
We are looking for a Data Engineer to support data-driven initiatives for a services environment in Southern California. This Long-term Contract position focuses on building reliable data…
Added 34 mins ago
Senior Data Engineer
D.R. Horton America's Builder
Arlington, TX
Added 56 mins ago
IG
Data Engineer
Insight Global
Smyrna, GA
- From $59 USD / hour
Strong knowledge of data modeling, schema design, and database optimization
Added 1 hour ago
Data Engineer II, AWS Analytics Engineering
Amazon Development Center U.S., Inc.
Seattle, WA
We are seeking a talented Data Engineer to join our EC2 + EBS + Networking Product BI team. You will own end-to-end analytics for one or more Compute service areas - building and monitoring…
Added 1 hour ago
EG
Data Engineer
Eliassen Group
Pierre, SD
- $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 2 hours ago
Internship/Co-Op: Data Engineer
ASML US, LLC. (US01)
San Diego, CA
As a Data Engineer Co-Op at ASML, you will help develop data pipelines and data products that transform laser-machine and enterprise data into trusted, usable information.
Added 2 hours ago
RU
Data Engineer
Randstad USA
Arlington, VA
- $48 to $52 USD / hour
Seeking an experienced Data Engineer to support enterprise data governance, integration, and analytics initiatives. This role combines hands-on pipeline engineering with metadata…
Added 2 hours ago
EG
Data Engineer
Eliassen Group
Helena, MT
- $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 2 hours ago
EG
Data Engineer
Eliassen Group
Providence, RI
- $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 2 hours ago
EG
Data Engineer
Eliassen Group
Bismarck, ND
- $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 2 hours ago
Senior Disputes Data Engineer
Velera Solutions, LLC
Remote, United States
Added 3 hours ago
Senior Data Engineer
RSM US LLP
United States
Added 3 hours ago
Data Engineer (junior career)
Lockheed Martin
Palmdale, CA · Littleton, CO · Marietta, GA · Fort Worth, TX · Palmdale · Littleton · Marietta · Fort Worth
As an AI Data Engineer, you'll architect and deliver data solutions that fuel AI/ML innovation across the program. Working in classified facilities, you'll build the pipelines, data
Added 3 hours ago
Data Engineer
Eli Lilly and Company
United States
Added 3 hours ago
Data Engineer, Apple Ads
Apple
Austin, TX
Added 3 hours ago
T
Data Engineer
TEKsystems
Sunnyvale, CA
- $75 to $80 USD / hour
DescriptionResponsibilitiesArchitect, construct, and maintain robust, scalable data pipelines and complex ETL workflows.Manage and optimize data models within modern Data Lakes and cloud…
Added 4 hours ago
GM
Data Engineer
Grand Mental Health
Remote, United States
- $100,000 to $105,000 USD / year
Under direct supervision of the Director of Clinical Informatics, the primary responsibility of the Data Engineer is to contribute to the development and maintenance of the electronic…
Added 4 hours ago
Associate Data Engineer
Capgemini
Pittsburg, AR
Added 4 hours 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 4 hours ago
Entry-Level F-15 Flight Test Data Engineer
The Boeing Company
Eglin AFB, FL
The Boeing team is seeking an Entry-Level F-15 Flight Test Data Engineer. This position involves joining a specialized Boeing Test & Evaluation engineering team performing F-15 tactical…
Added 4 hours ago
M
Sr AI Data Engineer (Cloud)
modis
Chicago, IL
- $80 to $82 USD / hour
Akkodis is seeking a Sr AI Data Engineer (Cloud) for a Contract job with a client in Chicago, IL. The ideal candidate will be responsible for designing and implementing scalable data and AI…
Added 4 hours ago
EG
Data Engineer
Eliassen Group
Frankfort, KY
- $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 hours ago
Data Engineer
VoltaGrid, LLC
Houston, TX
Position Summary: The Data Engineer is responsible for designing, developing, and maintaining the data pipelines, models, and governance controls supporting VoltaGrid’s cloud data platform.…
Added 5 hours ago
TP
Senior Data Engineer
The Planet Group
Irving, TX
- $70 to $80 USD / hour
The Planet Group has partnered with a Chicago area firm to locate a Data Engineer to build and support scalable data pipelines that power business intelligence, analytics, and downstream…

Panera Bread

Lead Cloud Data Engineer

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

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

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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.

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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

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