Hitachi
Federal Data Engineer
$160K–$205K
(DEAI HV) US Remote DC · On-site · Full-time · Posted Sep 14, 2026
- Experience
- Minimum 8 years of enterprise software engineering, data engineering, or professional services consulting experience.
- Education
- Bachelor’s degree in computer science, Engineering, Information Systems, or related technical discipline (or equivalent experience).
- Visa sponsorship
- Certain positions may require U.S. citizenship, the ability to obtain and maintain a U.S. Government security clearance, or other government eligibility requirements.
About the job
Leads customer-facing delivery of enterprise data engineering solutions, from architecture and integration through implementation, optimization, and technical leadership.
What you'll do
- Lead complex professional services engagements, customer architecture workshops, and technical delivery.
- Design and develop enterprise data pipelines, Java applications, APIs, integrations, and automation.
- Mentor engineers, create implementation methodologies, and support service innovation and customer success.
What they ask for
- Active Top Secret / Sensitive Compartmented Information (TS/SCI) Security Clearance.
- Bachelor’s degree in computer science, Engineering, Information Systems, or related technical discipline (or equivalent experience).
- Proven experience leading technical implementation projects in enterprise environments and designing enterprise-scale data architectures and integrations.
- Strong customer-facing consulting, communication, and ability to translate business requirements into technical solutions.
Nice to have
- Experience with Hitachi Content Platform (HCP), Hitachi Content Intelligence (HCI), or AI and machine learning data pipelines.
- Docker, Kubernetes, Python, Apache Kafka, Apache Airflow, cloud platforms (AWS or Azure), Terraform, Microsoft Graph APIs, SharePoint or Exchange integrations, Microsoft Work Folder Server APIs, or Security+ Certification (or ability to obtain).
Pay
$160,000-$205,000 annually (USD, base salary)
Tools
Java, REST APIs, JAX-WS, XML, JSON, SQL, Linux, Git
AI focus
Preferred experience includes AI and machine learning data pipelines.
Model-written summary · the original posting is authoritative