We are a software and IT staffing agency recruiting a Data Engineer for a client. Our client is a premier engineering and manufacturing firm at the forefront of innovation in aerospace, defense, and industrial technologies. With decades of expertise designing and supporting complex systems—ranging from next-generation aircraft and rotorcraft to high-performance ground vehicles and precision industrial components—they are a trusted supplier to both military and commercial sectors worldwide.
As part of their digital transformation and commitment to operational excellence, the company is seeking an experienced Data Engineer to build robust data pipelines, integrate enterprise systems, and enable predictive analytics and real-time insights across their engineering, manufacturing, and logistics operations.
Typical Duties and Responsibilities
- Design, implement, and optimize scalable data pipelines for both batch and real-time processing across multiple business units including manufacturing, quality, engineering, and supply chain.
- Integrate data from diverse sources such as ERP systems (e.g., SAP, Oracle, Epicor), PLM tools (e.g., Siemens Teamcenter, PTC Windchill), MES, and IoT platforms into centralized data warehouses and data lakes.
- Work closely with data architects, software engineers, and business analysts to translate requirements into technical specifications and scalable data workflows.
- Build, manage, and maintain ETL/ELT workflows using modern tools like Apache NiFi, Informatica, Talend, Airflow, or Azure Data Factory.
- Leverage SQL, Python, and Spark to clean, transform, and validate data for advanced analytics and reporting use cases.
- Implement data validation, lineage tracking, and quality assurance processes to ensure high integrity and trust in data across the enterprise.
- Collaborate with DevOps teams to deploy data infrastructure using CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and infrastructure-as-code tools (e.g., Terraform, Ansible).
- Partner with the cybersecurity and compliance teams to enforce policies related to data security, access controls, ITAR, NIST, and CMMC requirements.
- Support machine learning teams by provisioning curated data sets and enabling feature engineering workflows.
Education
- Bachelor’s Degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related STEM discipline is required.
- A Master’s Degree or advanced certification in Data Science, Big Data Technologies, or Cloud Architecture is a strong plus.
Required Skills and Experience
- 7+ years of experience in data engineering or backend data infrastructure roles within aerospace, defense, automotive, industrial manufacturing, or similarly regulated and data-rich environments.
- Expertise in data modeling, data warehousing, and performance optimization of large-scale distributed systems.
- Strong proficiency with SQL, Python, and Apache Spark for data manipulation and transformation.
- Experience working with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP), especially with tools like Azure Synapse, AWS Glue, BigQuery, or Databricks.
- Hands-on experience with both structured and unstructured data sources, including sensor/telemetry data from industrial systems (e.g., SCADA, OPC UA, MQTT).
- Knowledge of data governance, master data management (MDM), and data quality frameworks.
- Familiarity with Agile/Scrum development processes and version control systems like Git.
Preferred Qualifications
- Previous experience integrating and managing data from Product Lifecycle Management (PLM), Manufacturing Execution Systems (MES), and Enterprise Resource Planning (ERP) in a manufacturing environment.
- Exposure to Digital Twin and Digital Thread initiatives supporting end-to-end product lifecycle intelligence.
- Familiarity with data security and compliance standards such as ITAR, DFARS, NIST 800-171, or CMMC 2.0.
- Experience working in hybrid environments (on-prem + cloud) and knowledge of modern data lakehouse architecture (e.g., Delta Lake, Iceberg, Hudi).
- Relevant certifications such as:
- Microsoft Certified: Azure Data Engineer Associate
- AWS Certified Data Analytics – Specialty
- Google Cloud Professional Data Engineer
- Cloudera Certified Professional: Data Engineer
