Data Engineer
About The Position
ALTEN Technology USA is seeking a senior Data Engineer to design, build, and support enterprise data products, analytics platforms, and integration solutions. The role involves developing scalable data pipelines, implementing modern Lakehouse architectures, integrating operational and enterprise systems, and supporting reporting, analytics, and digital transformation initiatives. Strong Databricks expertise and experience building reusable, governed data products for multiple business and operational consumers are required. The position is remote, with the Dallas/Fort Worth location preferred. Only U.S. citizens or permanent residents may apply. Candidates selected for employment must successfully complete a pre-employment drug screening. Salary offered depends on factors including location, job-related knowledge, qualifications, skills, education, training, and experience.
Requirements
- At least 7 years of experience in Data Engineering, Data Warehousing, Data Platforms, Analytics Engineering, Data Integration, or related disciplines.
- At least 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 is 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.
- Expertise in Databricks.
- Knowledge or experience with ETL/ELT development, Lakehouse architecture, Delta Lake, Bronze/Silver/Gold (Medallion) architecture, data integration, data modeling, data quality and validation, data lineage, data product development, Git, CI/CD fundamentals, Power BI, and cloud data platforms.
- Only U.S. citizens or permanent residents may apply.
- Successful completion of a pre-employment drug screening is required as a condition of hire.
Nice To Haves
- 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.
- RTLS platforms.
- MES systems.
- OPC-UA.
- MQTT.
- Kafka.
- Event Hub.
- SCADA/PLC environments.
- Ignition.
- Manufacturing analytics.
- Industry 4.0 initiatives.
- Experience with Azure DevOps, SQL Server, or Jupyter Notebooks.
Responsibilities
- Design, build, and support enterprise data products, analytics platforms, and integration solutions.
- Develop scalable data pipelines.
- Implement modern Lakehouse architectures.
- Integrate operational and enterprise data sources and systems.
- Support reporting, analytics, and digital transformation initiatives.
- Build reusable, governed data products that support multiple business and operational consumers.
- Support production data solutions and enterprise analytics environments.
- Implement data quality, validation, and monitoring processes.
Benefits
- Comprehensive benefits
- Mentorship
- Career growth opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
