Drimva

Hitachi

Senior Data Engineer, Professional Services

$160K–$205K

(DEAI HV) US Remote VA - Washington DC Metro · On-site · Senior · Full-time · Posted Sep 25, 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
Active TS/SCI Security Clearance required; certain positions may require U.S. citizenship or the ability to obtain and maintain a U.S. Government security clearance or other government eligibility requirements.

About the job

Leads customer-facing professional services engagements to design, build, integrate, and optimize enterprise data engineering solutions for federal customers.

What you'll do

  • Lead technical delivery, architecture workshops, and implementation of enterprise data solutions.
  • Develop Java applications, APIs, integrations, automation, and scalable data pipelines.
  • Mentor engineers and contribute to reusable implementation practices and service innovation.

What they ask for

  • Active Top Secret / Sensitive Compartmented Information (TS/SCI) Security Clearance required.
  • 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 business-to-technical translation skills.

Nice to have

  • Experience with Hitachi Content Platform (HCP) or Hitachi Content Intelligence (HCI).
  • AI and machine learning data pipelines; Docker, Kubernetes, Python, Apache Kafka, or Apache Airflow.

Pay

$160,000-$205,000 annually (USD, base salary)

Tools

Java, REST APIs, JAX-WS, XML, JSON, SQL, Linux, Apache Spark

AI focus

Preferred experience includes AI and machine learning data pipelines.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)