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.

Requirements

Must-haves

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.
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 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;
ETL / ELT Development
Lakehouse Architecture
Bronze / Silver / Gold (Medallion) Architecture
Data Integration
Data Modeling
Data Quality & Validation

Nice-to-haves

Experience with cloud-based data platforms (Azure preferred).
Cloud Data Platforms (Azure preferred)
Strongly Preferred
RTLS Platforms
Preferred Tools
Location: Remote, Dallas/Forth Worth location preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonazureci/cd

Platform: greenhouse
Effort: quick