Data Engineer

Posted 5 Hours Ago
Be an Early Applicant
Dallas, TX, USA
In-Office
130K-150K Annually
Senior level
Aerospace • Information Technology • Software • Biotech • Design
An engineering services company solving complex engineering through agility and collaboration.
The Role
Designs, builds, and supports enterprise data products, analytics platforms, scalable pipelines, Lakehouse architectures, and integration solutions. The role integrates operational and enterprise systems, develops governed and reusable data products, supports reporting and analytics, and implements data quality, validation, monitoring, lineage, and modeling processes. Strong Databricks, SQL, Python, Azure, and Power BI expertise is required, with experience in operationally intensive environments such as manufacturing, IoT, supply chain, or logistics.
Summary Generated by Built In

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.

Skills Required

  • 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, operational technology, 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
  • Databricks expertise
  • Experience with ETL and ELT development, Lakehouse architecture, Delta Lake, and Medallion architecture
  • Experience with data integration, data modeling, data quality, validation, data lineage, and data product development
  • Experience with Git and CI/CD fundamentals
  • Experience with Power BI and cloud data platforms
  • Experience with Azure Data Factory, Azure Data Lake, Databricks Workflows, Unity Catalog, data contracts, reusable integration frameworks, enterprise data sharing patterns, or semantic models
  • Experience with RTLS platforms, MES systems, OPC-UA, MQTT, Kafka, Event Hub, SCADA/PLC environments, Ignition, manufacturing analytics, or Industry 4.0 initiatives
  • US citizenship or permanent residency
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The Company
HQ: Boulogne-Billancourt
Year Founded: 1988

What We Do

ALTEN Technology USA is an engineering consulting company that provides innovative solutions for engineering, IT, and product development projects across the product life cycle. For decades, ALTEN Technology USA has been helping clients develop products that are changing the world, whether by shaping the future of space exploration, saving lives with medical devices that set new standards of care or creating the fully autonomous electric taxi of tomorrow. The company provides support across industries including aerospace, defense, MedTech and life sciences, unmanned systems and robotics, automotive OEM and tier 1 suppliers, commercial vehicles, electric vehicles, energy and environment, rail, and more.

Why Work With Us

Potential clients in the industries we serve, Professionals in the Industries, and Potential employees within New Product Development, Engineering Services, Sustaining Engineering, Manufacturing Engineering, Embedded Electronics Engineering, Software Engineering and IT, Mechanical Engineering, and Systems Engineering.

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