Hitachi Federal is hiring a Senior Data Engineer to design and deliver enterprise data engineering solutions for customers, with a focus on customer-facing professional services engagements. In this onsite role in Washington, VA, you will serve as a technical lead across delivery workstreams, partnering with project and customer stakeholders to build scalable architectures, integrate systems, and optimize performance.

This position emphasizes technical leadership throughout design through implementation, including architecture planning, escalation support, and mentorship. You will also contribute to reusable delivery methodologies and help shape service offerings through evaluations, proof-of-concepts, and ongoing innovation.

Responsibilities

Lead technical delivery of complex professional services engagements from design through implementation.
Design enterprise-scale data engineering solutions aligned to customer business and technical requirements.
Facilitate customer architecture workshops, technical planning sessions, and solution reviews.
Translate customer business objectives into scalable technical solutions.
Act as the primary technical escalation point throughout project delivery.
Drive customer success through high-quality solution implementation and technical leadership.
Deliver enterprise data engineering, data integration, and object storage solutions.
Partner with Project Managers to keep work aligned with schedule, scope, and customer expectations.
Review Statements of Work (SOWs), technical design documents, delivery checklists, and implementation plans.
Produce customer-facing architecture documentation, implementation guides, and technical deliverables.
Communicate project status and technical risks to customers and internal stakeholders.
Consistently exceed customer expectations for quality, professionalism, and technical excellence.
Design and develop Java-based applications, APIs, integrations, and automation solutions.
Develop reusable software components, plugins, and integration frameworks.
Design scalable enterprise data pipelines and data orchestration workflows.
Implement RESTful API integrations between enterprise systems.
Optimize application performance, scalability, and reliability.
Troubleshoot complex enterprise software and infrastructure issues.
Learn and deliver new Hitachi Federal service offerings, including proof-of-concept initiatives and technology evaluations.
Develop repeatable implementation methodologies and best practices.
Contribute to internal lab development and service innovation.
Recommend improvements that increase delivery quality and operational efficiency.
Mentor junior engineers and provide technical guidance across the Professional Services organization.
Collaborate with Sales Engineers during customer pursuits and technical presentations.
Partner with Product, Support, and Engineering teams to resolve complex customer issues.
Support knowledge sharing through documentation, training sessions, and peer mentoring.
Foster strong customer relationships built on trust and technical credibility.

Requirements

Active Top Secret / Sensitive Compartmented Information (TS/SCI) Security Clearance required.
Bachelor’s degree in computer science, Engineering, Information Systems, or a related technical discipline (or equivalent experience).
Minimum 8 years of enterprise software engineering, data engineering, or professional services consulting experience.
Proven experience leading technical implementation projects within enterprise environments.
Experience designing enterprise-scale data architectures and integrations.
Strong customer-facing consulting and communication skills.
Ability to translate business requirements into technical solutions.
Excellent written, verbal, and presentation skills.

Technologies

Java, Multi-threaded programming, REST APIs, JAX-WS, XML, JSON
SQL, Bash scripting, S3, Hitachi Content Platform, Centera
Data migration methodologies, Enterprise data integration, Data orchestration
API-based integrations, Linux, Git, Maven
Elasticsearch, PostgreSQL, Apache Spark, Solr
Software development lifecycle (SDLC), Object-oriented design, Design patterns
CI/CD best practices, Configuration management
Hitachi Content Intelligence (HCI), AI and machine learning data pipelines
Docker, Kubernetes, Python
Apache Kafka, Apache Airflow, AWS, Azure
Terraform, Microsoft Graph APIs
SharePoint integrations, Exchange integrations, Microsoft Work Folder Server APIs

Preferred Qualifications

Experience with one or more of: Hitachi Content Platform (HCP), Hitachi Content Intelligence (HCI)
AI and machine learning data pipelines, Docker, Kubernetes, Python
Apache Kafka, Apache Airflow, cloud platforms (AWS or Azure), Terraform
Microsoft Graph APIs, SharePoint integrations, Exchange integrations, Microsoft Work Folder Server APIs
Security+ Certification (or ability to obtain)

Compensation

Expected Hiring Range: $160,000-$205,000 annually
May be eligible for Hitachi Federal’s annual incentive (bonus) program, where applicable, in accordance with company policies and plan provisions.

Benefits

Medical, Dental, and Vision Insurance
Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
401(k) Retirement Savings Plan with Company Match
Company-Paid Life and Disability Insurance
Flexible Paid Time Off and Company Holidays
Employee Assistance Program (EAP)
Employee Stock Purchase Plan (ESPP)
Professional Development and Training Opportunities
Wellness and Employee Recognition Programs

Job Location

Washington, VA (onsite)
DC On Client Site

Federal Contractor Statement

As a federal contractor, Hitachi Federal complies with applicable federal contractor requirements, including equal employment opportunity and affirmative action obligations.
Certain positions may require U.S. citizenship, the ability to obtain and maintain a U.S. Government security clearance, or other government eligibility requirements.
Applicants who require reasonable accommodation during the application or interview process should notify the People & Culture team.

Senior Data Engineer

Job Description