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 Nov 5, 2026

Hiring at a glance

View jobs

Open jobs: 4,601
Employers: 2,048

Advertised starting pay

Average starting payUSD / year: $125,962Across 808 listings
Average starting payUSD / hour: $60.54Across 465 listings

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

Where work happens

Remote: 12%567 listings
Hybrid: 6%289 listings
On-site: 8%371 listings

Not specified: 73% (3,374 listings)

Employers hiring include Eliassen Group (294), Booz Allen Hamilton_United States (74), Insight Global (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

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Added 24 days ago
Data Engineer I
Summit Utilities Inc
DENVER, CO
Added 24 days ago
SU
Data Engineer I
Summit Utilities Inc
DENVER, CO
- $89,102 to $105,808 USD / year
Added 24 days ago
Data Engineer
Sakata Seed America, INC.
Woodland, CA · Burlington, WA
The Data Engineer designs, builds, and maintains scalable data solutions that support operational reporting, analytics, and enterprise decision-making. This role is responsible for…
Added 24 days ago
Senior RAPA Data Engineer
NORTHEAST POWER COORDINATING
Remote, United States
As the RAPA Senior Data Engineer, you are responsible for designing, developing, implementing, and maintaining enterprise data solutions that support data-driven decision making across…
Added 24 days ago
Data Engineer
GD Information Technology, Inc.
United States
As a Data Engineer at GDIT, you’ll power innovation to drive mission impa
Added 24 days ago
AT
Senior Data Engineer (Azure/Dynamics 365)
AHU Technologies Inc
Washington, DC
- $60 to $67 USD / hour
Client is look for a resource to provide high-level data engineering administration expertise to support Dynamics 365/Azure data services, including Dataverse management, Azure Data Factory…
Added 24 days ago
NCIS Data Engineer | Active Secret clearance
GD Information Technology, Inc.
United States
Database Integration, Data Management, ETL Pipelines, ETL ProcessingCertifications:
Added 24 days ago
Senior Data Engineer - Secret Clearance Required
GD Information Technology, Inc.
United States
Artificial Intelligence (AI), Data Solutions, Technical SolutionsCertifications:
Added 24 days ago
Data Engineer - TS/SCI w/poly
GD Information Technology, Inc.
United States
Data Architecture Development, Data Management, Data SolutionsCertifications:
Added 24 days ago
PG
Senior Data Engineer
Publicis Groupe Holdings B.V
Chicago, IL
- $88,900 to $165,100 USD / year
We are looking for a Senior Data Engineer to help build the next generation of our cloud data platform. This role is ideal for an engineer who thrives on solving complex data challenges at…
Added 24 days ago
Data Engineer III
Bank of America, National Association
United States
Added 24 days ago
Data Engineer III
Bank of America, National Association
United States
Added 24 days ago
Data Engineer
Frank Calandra Jennmar Services
Pittsburgh, PA
The Data Engineer will design, build, and maintain ETL/ELT pipelines that support Jennmar’s reporting and analytics environment. Works within the BI team to extract, transform, and load…
Added 24 days ago
Senior Developer (Data Engineer)
Floor & Decor
Atlanta, GA
As a Senior Data Engineer, you'll help shape Floor & Decor's modern data platform while driving the company's migration from a legacy enterprise data warehouse to Databric
Added 24 days ago
Data Engineer
Intuitive Machines LLC
Houston, TX
Added 24 days ago
Senior Analytics Data Engineer
Government Employees Insurance Company
Bethesda, MD · Virginia Beach, VA · Getzville, NY · New York City, NY · Tampa, FL · Lakeland, FL · Chicago, IL · Melville, NY
Added 24 days ago
Senior Data Engineer, Python
Dev
Remote, United States
Added 24 days ago
Data Engineer
INFOSYS NOVA HOLDINGS LLC
Charlotte, NC
We are seeking a Data Engineer to join a team focused on modernizing enterprise data platforms and supporting cloud migration initiatives. This is a hands-on role where you'll design and…
Added 24 days ago
Principal Data Engineer
INFOSYS NOVA HOLDINGS LLC
Charlotte, NC · Detroit, MI
We are seeking an experienced Principal Data Engineer to design, develop, and maintain scalable data solutions supporting enterprise data engineering and analytics initiatives. This role…
Added 24 days ago
Data Engineer
INFOSYS NOVA HOLDINGS LLC
Detroit, MI
We are looking for a Senior Data Engineer to design, build, and optimize scalable data pipelines and data platforms supporting analytics, reporting, and AI/ML use cases. The ideal candidate…
Added 24 days ago
DE
Data Engineer
Double E Company, LLC
West Bridgewater, MA
- $110,000 to $140,000 USD / year
Added 24 days ago
Sr Data Engineer
Bank of America, National Association
NY
Added 24 days ago
Senior Data Engineer - AI Infrastructure Integration, High Performance Compute
Bank of America, National Association
NY
Added 24 days ago
Software Data Engineer Mid-Level
Integrity Technology Consultants, Inc.
Laurel, MD
…a Top-Secret SCI with polygraph-cleared Mid-Level Software Data…
Added 24 days ago
Azure Data Engineer
Quest Global
Indianapolis, IN

Floor & Decor

Senior Developer (Data Engineer)

Atlanta, GA, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: 5+ years of Data Engineering experience
Posting language: English
Posted: Oct 8, 2026

Original job description

PURPOSE

This isn't a traditional data engineering role focused solely on building pipelines and moving data from one system to another. This is a highly visible engineering position where you'll directly influence how business leaders make decisions across Merchandising, Supply Chain, Finance, Marketing, and Store Operations. As a Senior Data Engineer, you'll help shape Floor & Decor's modern data platform while driving the company's migration from a legacy enterprise data warehouse to Databricks on Azure. You'll partner closely with business stakeholders, analytics teams, architects, and platform engineers to design scalable data products, solve complex business challenges, and deliver trusted data that powers critical decisions across the organization. This role combines hands-on engineering, technical leadership, and business partnership. You'll own data products from design through production, build scalable cloud-native solutions, and help define best practices that support the future growth of Floor & Decor's data ecosystem.

Your Day Consists Of

Designing and building scalable data pipelines, data products, and integrations using Databricks, PySpark, Spark SQL, and Azure technologies
Partnering with business stakeholders to translate complex business requirements into reliable and efficient data solutions
Developing and maintaining Delta Lake tables, dimensional models, and cloud-native architectures that support enterprise analytics and reporting
Leveraging Python, SQL, Databricks, and Azure services to solve data quality, performance, and scalability challenges
Supporting Floor & Decor's strategic migration from SQL Server to Databricks by modernizing legacy workloads and improving data accessibility
Building automated monitoring, testing, and data quality frameworks that improve reliability and trust in enterprise data products
Collaborating with analytics engineers, architects, and platform teams to establish engineering standards and best practices
Leading technical initiatives, mentoring team members, and contributing to the evolution of Floor & Decor's modern data platform

You'll Be Successful With

Experience building and supporting enterprise-scale data platforms, data pipelines, and cloud-based data solutions
Strong expertise in Python, SQL, Databricks, Spark, Delta Lake, and modern data engineering practices
Experience designing dimensional models, lakehouse architectures, and scalable data products that support business decision-making
The ability to analyze complex technical and business challenges and translate them into practical, scalable solutions
Confidence partnering with technical teams and business stakeholders across multiple functions
Strong communication skills with the ability to explain technical concepts and trade-offs to both technical and non-technical audiences
A proactive mindset with strong ownership, accountability, and the ability to operate independently in a fast-paced environment
Passion for continuous improvement, modern cloud technologies, and delivering high-quality engineering solutions

Minimum Eligibility Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience preferred
5+ years of Data Engineering experience
Experience developing production-grade data pipelines and cloud-based data solutions
Strong proficiency with Python and SQL
Experience working with Databricks, Spark, Azure Data Services, or similar cloud data platforms
Experience with dimensional modeling, ETL/ELT design, and enterprise data architecture concepts
Strong analytical, problem-solving, and troubleshooting skills
Ability to manage multiple priorities and deliver results in a fast-paced environment
Excellent verbal, written, and interpersonal communication skills
Experience working in compliance-sensitive environments such as SOX, PCI, or regulated industries is a plus

Essential Functions

Design, develop, and maintain scalable data pipelines and data products within Floor & Decor's Databricks platform
Develop cloud-native solutions that improve data accessibility, quality, reliability, and business value
Partner with stakeholders to gather requirements, define technical solutions, and deliver enterprise data products
Build and maintain Delta Lake tables, dimensional models, and curated datasets that support analytics and reporting needs
Support migration efforts from SQL Server EDW to Databricks by modernizing legacy workloads and validating business logic
Implement data quality controls, monitoring, alerting, and operational support processes
Participate in code reviews, technical design discussions, and engineering best practice initiatives
Document technical solutions, data models, and operational processes to support long-term maintainability
Mentor junior engineers and contribute to knowledge sharing across the Data Engineering organization
Identify opportunities to improve platform performance, reduce technical debt, and increase engineering efficiency
Own data products through their full lifecycle, from requirements gathering and development through production support and continuous improvement

WORKING CONDITIONS (TRAVEL, HOURS, ENVIRONMENT)

This position is salaried, knowing it may include hours which exceed eight hours in a day or forty hours in a week.

PHYSICAL/SENSORY REQUIREMENTS

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Store Support Center Associates

Provide leadership and support training on all Safety programs, processes and procedures, insuring that every associate is properly trained for their position.

Follow established Safety procedures in all aspects of work assignments applicable to the position. This includes participating in all Safety related training and acquiring certifications. Each associate is responsible for Safety at the Store Support Center and when visiting other company work locations. All Safety concerns must be brought to the attention of the management of a location and/or the Store Support Center Safety Department immediately.

NOTE: All duties and responsibilities listed are considered to be essential job functions and requirements, and are subject to possible modification to reasonably accommodate individuals with disabilities. Marginal functions of the position (those that are incidental to the performance of fundamental job duties) have not been included. However, the omission of specific statements of duties does not exclude them from the position if the work is similar, related or logical assignment to the position.

This job description does not constitute an employment agreement between the employer and the employee and is subject to change by the employer as the needs of the business and requirement of the job change.

Benefits & Rewards Bonus opportunities & career advancement opportunities at every level Programs that help you reach your financial goals: 401k with company match, Employee Stock Purchase Plan, and Referral Bonus Program Medical, Dental, Vision, Life, and other Insurance Plans (subject to eligibility criteria)

Work-life balance, including:

Paid vacation and sick time for eligible associates
Paid holidays plus a personal holiday
Paid Volunteer Time Off that starts on Day 1

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

Apply About employer

More about this job

Skills

Data engineering
Data warehouse
Databricks
Microsoft Azure
PySpark
Apache Spark
SQL
Reporting
Python
Microsoft SQL Server
Coaching
Decision making
Communication skills
Process improvement
Cloud technologies
Computer science
Problem solving
Troubleshooting
Regulatory compliance
Data models
Requirements gathering
Leadership

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