Data Engineer

ALTEN Technology•Dallas, TX

9d•Remote

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. The successful candidate will bring strong Databricks expertise and experience creating reusable, governed data products for multiple business and operational consumers. The position is remote, with Dallas/Fort Worth preferred. Only U.S. citizens or permanent residents may apply. Candidates selected for employment must successfully complete a pre-employment drug screening.

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.
Databricks, SQL, Python, 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.
Must be a U.S. citizen or permanent resident.
Must successfully complete a pre-employment drug screening 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, and Ignition.
Manufacturing analytics and Industry 4.0 initiatives.
Experience with Azure DevOps, SQL Server, and Jupyter Notebooks.
Dallas/Fort Worth location.

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 systems and data sources.
Support reporting, analytics, and digital transformation initiatives.
Build reusable, governed data products for multiple business and operational consumers.
Support production data solutions and enterprise analytics environments.
Implement data quality, validation, and monitoring processes.