Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,159 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
Houston, TX, USA
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
DXP does not sponsor H-1B visas, either now or in the future
What you’ll work on
Full postingDesign and maintain data pipelines and ETL/ELT processes in Microsoft Fabric and Azure
Build and support enterprise data warehouse and lakehouse solutions
Write and tune SQL queries, stored procedures and data transformations
Integrate data from ERP, CRM and third-party business systems
Support Power BI datasets, semantic models and reports
From the employer’s posting
Design, develop, and maintain data pipelines and ETL/ELT processes using Microsoft Fabric and Azure technologies
Build and support enterprise data warehouse and lakehouse solutions utilizing modern data architecture principles
Develop, optimize, and maintain SQL queries, stored procedures, and data transformation processes
Integrate data from multiple business systems including ERP, CRM, and third-party applications
Support Power BI datasets, semantic models, and reporting environments
Education & alternatives
Qualifications include, but are not limited to: - Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field; equivalent experience may be considered - 5+ years of experience in Data Engineering, Business Intelligence, Data Warehousing, or related field
- Working Conditions: Professional office environment with occasional after-hours support for deployments and critical business initiatives - Education: Bachelor's Degree in Computer Science, Information Systems, Data Analytics, or related field preferred - Travel: Minimal travel may be required as business needs dictate
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 7, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 8, 2026
- Employer says posted
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 6 and day 54.
From 11,557 similar postings that came down. Coming down is not always a hire.
DXP Enterprises is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Power BI
- SQL Server
Where the posting names them
- Advanced proficiency in SQL and relational database development - Experience with Python for data engineering, automation, or data transformation activities - Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes
Check out our many videos to learn more! http://www.dxpe.com/about-us/careers/ Summary Under the direction of the Director of Data & Analytics, the Data Engineer is responsible for designing, developing, and maintaining scalable data solutions that support enterprise reporting, analytics, and business intelligence initiatives. This role works closely with business and technical stakeholders to build and optimize data pipelines, data warehouses, and lakehouse environments utilizing Microsoft Fabric, Azure, SQL Server, and Power BI technologies. The Data Engineer plays a key role in advancing DXP’s data platform strategy through data integration, automation, governance, and modernization efforts. DXP does not sponsor H-1B visas, either now or in the future
- Build and support enterprise data warehouse and lakehouse solutions utilizing modern data architecture principles - Develop, optimize, and maintain SQL queries, stored procedures, and data transformation processes - Create and support data models that enable reporting, analytics, and business intelligence solutions
- Experience with Microsoft Fabric, Azure Data Factory, or other Azure data services - Advanced proficiency in SQL and relational database development - Experience with Python for data engineering, automation, or data transformation activities
Responsibilities include, but are not limited to: - Design, develop, and maintain data pipelines and ETL/ELT processes using Microsoft Fabric and Azure technologies - Build and support enterprise data warehouse and lakehouse solutions utilizing modern data architecture principles
- 5+ years of experience in Data Engineering, Business Intelligence, Data Warehousing, or related field - Experience with Microsoft Fabric, Azure Data Factory, or other Azure data services - Advanced proficiency in SQL and relational database development
- Experience with ERP systems such as Infor M3, Epicor Prophet 21, or similar platforms preferred - Microsoft Azure, Fabric, or Power BI certifications preferred Additional Information
- Develop data validation, monitoring, and quality control processes to ensure data integrity - Support Power BI datasets, semantic models, and reporting environments - Collaborate with business stakeholders to gather requirements and translate them into technical solutions
- Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes - Experience developing and supporting Power BI solutions - Knowledge of source control, deployment practices, and software development lifecycle processes
Your next step
Complete your application on css-h8e9up6aereglu3x-prd.inforcloudsuite.com. The employer’s form will show what is required.
Already applied? Track this application
About DXP Enterprises
- People
- About 3,286 in 2025, up 9% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as DXPE.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Do you want to grow with us? At DXP we are passionate about what we do and driven to be the best solution for our industrial customers. Since 1908 DXP has been dedicated to the highest quality of customer service through our expertise of the products we distribute and the technical services we perform with a sense of individual pride and company spirit. Throughout your career with DXP, we will encourage and empower you to take an active role in identifying and driving your development, so you feel total confidence in your ability to achieve ongoing success. We aspire to be the best solution for the Industrial customers' needs for MROP products and services through our Innovative Pumping Solutions, Metal Working, Supply Chain Services and Service Centers.
Check out our many videos to learn more! http://www.dxpe.com/about-us/careers/
Summary Under the direction of the Director of Data & Analytics, the Data Engineer is responsible for designing, developing, and maintaining scalable data solutions that support enterprise reporting, analytics, and business intelligence initiatives. This role works closely with business and technical stakeholders to build and optimize data pipelines, data warehouses, and lakehouse environments utilizing Microsoft Fabric, Azure, SQL Server, and Power BI technologies. The Data Engineer plays a key role in advancing DXP’s data platform strategy through data integration, automation, governance, and modernization efforts.
DXP does not sponsor H-1B visas, either now or in the future
This is an onsite position in Houston 77040
Responsibilities include, but are not limited to:
- Design, develop, and maintain data pipelines and ETL/ELT processes using Microsoft Fabric and Azure technologies
- Build and support enterprise data warehouse and lakehouse solutions utilizing modern data architecture principles
- Develop, optimize, and maintain SQL queries, stored procedures, and data transformation processes
- Create and support data models that enable reporting, analytics, and business intelligence solutions
- Integrate data from multiple business systems including ERP, CRM, and third-party applications
- Develop data validation, monitoring, and quality control processes to ensure data integrity
- Support Power BI datasets, semantic models, and reporting environments
- Collaborate with business stakeholders to gather requirements and translate them into technical solutions
- Troubleshoot data-related issues and provide ongoing production support
- Participate in testing, deployment, and documentation of data solutions
- Assist with cloud data platform modernization and migration initiatives
- Maintain security, governance, and compliance standards across data platforms
- Support continuous improvement efforts through process automation and optimization
- Perform additional duties and special projects as assigned
Qualifications include, but are not limited to:
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field; equivalent experience may be considered
- 5+ years of experience in Data Engineering, Business Intelligence, Data Warehousing, or related field
- Experience with Microsoft Fabric, Azure Data Factory, or other Azure data services
- Advanced proficiency in SQL and relational database development
- Experience with Python for data engineering, automation, or data transformation activities
- Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes
- Experience developing and supporting Power BI solutions
- Knowledge of source control, deployment practices, and software development lifecycle processes
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent verbal and written communication skills
- Ability to work independently and effectively in a collaborative team environment
- Experience with ERP systems such as Infor M3, Epicor Prophet 21, or similar platforms preferred
- Microsoft Azure, Fabric, or Power BI certifications preferred
Additional Information
- Pay: Commensurate with experience
- Physical Demands: Ability to sit, stand, and work at a computer workstation for extended periods
- Working Conditions: Professional office environment with occasional after-hours support for deployments and critical business initiatives
- Education: Bachelor's Degree in Computer Science, Information Systems, Data Analytics, or related field preferred
- Travel: Minimal travel may be required as business needs dictate
Location: USA:TX:Houston
DXP offers a comprehensive benefits package for full-time regular employees, normally working a minimum of 30 hours per week, including: medical, dental, vision, flexible spending account, paid holidays, life and disability insurance, and additional supplemental benefits. All employees are eligible to participate in the 401(k) plan.
#LI-JG1 #ZRJG
Salary is commensurate with experience. Except where prohibited by state law, all offers of employment are contingent upon successfully passing a drug test. DXP is an equal opportunity employer and participates in E-Verify. EOE/M/F/D/V.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Houston, TX, USA
#LI-JG1 #ZRJG Salary is commensurate with experience. Except where prohibited by state law, all offers of employment are contingent upon successfully passing a drug test. DXP is an equal opportunity employer and participates in E-Verify. EOE/M/F/D/V.
- Work authorization
Summary Under the direction of the Director of Data & Analytics, the Data Engineer is responsible for designing, developing, and maintaining scalable data solutions that support enterprise reporting, analytics, and business intelligence initiatives. This role works closely with business and technical stakeholders to build and optimize data pipelines, data warehouses, and lakehouse environments utilizing Microsoft Fabric, Azure, SQL Server, and Power BI technologies. The Data Engineer plays a key role in advancing DXP’s data platform strategy through data integration, automation, governance, and modernization efforts. DXP does not sponsor H-1B visas, either now or in the future This is an onsite position in Houston 77040