Pay
In line with similar jobs
$130K–$150K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
Dallas, TX
Live, first seen by us 17 days ago- Pay
$130,000–150,000/yearAnnual period assumed — pay source
Location: Remote, Dallas/Forth Worth location preferred Salary Range: $130K-$150K The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience
Read the full posting- Work setting
Remote — work setting source
Jupyter Notebooks Location: Remote, Dallas/Forth Worth location preferred Salary Range: $130K-$150K
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Before you apply
- Work authorization
- US citizens or permanent residents only
Due to the nature of the work, only US Persons (citizens or permanent residents) need apply for this position
What you’ll work on
Full postingDesign and build scalable data pipelines
Implement modern Lakehouse architectures
Integrate operational and enterprise systems
Build reusable, governed data products for multiple consumers
Support reporting, analytics, and digital transformation initiatives
From the employer’s posting
design, build, and support enterprise data products, analytics platforms, and integration solutions
implement modern Lakehouse architectures
integrate operational and enterprise systems
building reusable, governed data products that support multiple business and operational consumers
support reporting, analytics, and digital transformation initiatives
What you’ll bring
All qualificationsCore experience
- 7+ years in data engineering or related fields
- Strong Databricks expertise
- Strong SQL and Python development skills
- 2+ years supporting manufacturing, IoT, OT, supply chain or similar environments
- Must-have: Delta Lake, medallion architecture, Git, CI/CD, Power BI
Qualification wording
7+ years of experience in Data Engineering, Data Warehousing, Data Platforms, Analytics Engineering, Data Integration, or related disciplines
This role requires strong Databricks expertise
Strong SQL and Python development skills
2+ years of experience supporting Manufacturing, Industrial IoT (IoT), Operational Technology (OT), Supply Chain, Logistics, Asset Management, or other operationally intensive environments
Delta Lake
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 18, 202617 days ago
- Recorded sightings
- 62
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Oct 15, 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 17
Similar jobs usually come down between day 5 and day 54.
From 10,733 similar postings that came down. Coming down is not always a hire.
ALTEN Technology USA is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See 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
- Databricks
- Delta Lake
- Kafka
- Power BI
- SQL Server
Where the posting names them
- Strong experience designing and implementing enterprise data pipelines. - Strong SQL and Python development skills. - Experience integrating multiple enterprise and operational data sources.
- SQL - Python - ETL / ELT Development
- Power BI - Python - Jupyter Notebooks
- Databricks - SQL - Python
- Git - SQL Server - Power BI
- Experience integrating multiple enterprise and operational data sources. - Experience with cloud-based data platforms (Azure preferred). - Experience supporting production data solutions and enterprise analytics environments.
- Power BI - Cloud Data Platforms (Azure preferred) Strongly Preferred
Strongly Preferred - Azure Data Factory - Azure Data Lake
- Azure Data Factory - Azure Data Lake - Databricks Workflows
- Databricks - Azure Data Factory - Azure DevOps
- Azure Data Factory - Azure DevOps - Git
ALTEN is seeking a senior Data Engineer to design, build, and support enterprise data products, analytics platforms, and integration solutions. The successful candidate will develop scalable data pipelines, implement modern Lakehouse architectures, integrate operational and enterprise systems, and support reporting, analytics, and digital transformation initiatives. This role requires strong Databricks expertise and experience building reusable, governed data products that support multiple business and operational consumers. Qualifications;
Must Have - Databricks - SQL
- Azure Data Lake - Databricks Workflows - Unity Catalog
Preferred Tools - Databricks - Azure Data Factory
- Lakehouse Architecture - Delta Lake - Bronze / Silver / Gold (Medallion) Architecture
- MQTT - Kafka - Event Hub
- CI/CD Fundamentals - Power BI - Cloud Data Platforms (Azure preferred)
- SQL Server - Power BI - Python
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
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
We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more.
As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing.
When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow.
ALTEN is seeking a senior Data Engineer to design, build, and support enterprise data products, analytics platforms, and integration solutions. The successful candidate will develop scalable data pipelines, implement modern Lakehouse architectures, integrate operational and enterprise systems, and support reporting, analytics, and digital transformation initiatives.
This role requires strong Databricks expertise and experience building reusable, governed data products that support multiple business and operational consumers.
Qualifications;
- 7+ years of experience in Data Engineering, Data Warehousing, Data Platforms, Analytics Engineering, Data Integration, or related disciplines.
- 2+ years of experience supporting Manufacturing, Industrial IoT (IoT), Operational Technology (OT), Supply Chain, Logistics, Asset Management, or other operationally intensive environments.
- Strong experience designing and implementing enterprise data pipelines.
- Strong SQL and Python development skills.
- Experience integrating multiple enterprise and operational data sources.
- Experience with cloud-based data platforms (Azure preferred).
- Experience supporting production data solutions and enterprise analytics environments.
- Experience implementing data quality, validation, and monitoring processes.
- Experience working with structured, semi-structured, and event-based data.
Technical Skills;
Must Have
- Databricks
- SQL
- Python
- ETL / ELT Development
- Lakehouse Architecture
- Delta Lake
- Bronze / Silver / Gold (Medallion) Architecture
- Data Integration
- Data Modeling
- Data Quality & Validation
- Data Lineage
- Data Product Development
- Git
- CI/CD Fundamentals
- Power BI
- Cloud Data Platforms (Azure preferred)
Strongly Preferred
- Azure Data Factory
- Azure Data Lake
- Databricks Workflows
- Unity Catalog
- Data Contracts
- Reusable Integration Frameworks
- Enterprise Data Sharing Patterns
- Semantic Models and Reporting Consumption Layers
Nice to Have
- RTLS Platforms
- MES Systems
- OPC-UA
- MQTT
- Kafka
- Event Hub
- SCADA / PLC Environments
- Ignition
- Manufacturing Analytics
- Industry 4.0 Initiatives
Preferred Tools
- Databricks
- Azure Data Factory
- Azure DevOps
- Git
- SQL Server
- Power BI
- Python
- Jupyter Notebooks
Location: Remote, Dallas/Forth Worth location preferred
Salary Range: $130K-$150K
The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience
Note: Due to the nature of the work, only US Persons (citizens or permanent residents) need apply for this position.
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process.
Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Location: Remote, Dallas/Forth Worth location preferred Salary Range: $130K-$150K The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience
- Location & working pattern
Dallas, TX
- Jupyter Notebooks Location: Remote, Dallas/Forth Worth location preferred Salary Range: $130K-$150K
- Work authorization
The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience Note: Due to the nature of the work, only US Persons (citizens or permanent residents) need apply for this position. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.