Federal Data Engineer

Hitachi•Washington, DC

3d•$160,000 - $205,000•Onsite

About The Position

The Federal Data Engineer serves as the technical lead responsible for designing, implementing, integrating, and optimizing enterprise data engineering solutions for Hitachi Federal customers. This highly customer-facing role partners with Project Managers, Solution Architects, Sales Engineers, and customer technical teams to deliver complex professional services engagements leveraging Hitachi's Data Intelligence portfolio. The successful candidate combines strong software engineering and enterprise data engineering expertise with consulting skills to architect scalable solutions, mentor junior engineers, develop new service offerings, and deliver exceptional customer outcomes.

Requirements

Active Top Secret (TS) Security Clearance
Bachelor’s degree in computer science, Engineering, Information Systems, or 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
Java
Multi-threaded programming
REST APIs
JAX-WS
XML
JSON
SQL
Bash scripting
Enterprise object storage technologies (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

Nice To Haves

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)

Responsibilities

Lead the technical delivery of complex professional services engagements from design through implementation.
Design enterprise-scale data engineering solutions that meet customer business and technical requirements.
Lead customer architecture workshops, technical planning sessions, and solution reviews.
Translate customer business objectives into scalable technical solutions.
Serve 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 closely with Project Managers to ensure projects remain on schedule, within scope, and aligned to customer expectations.
Review Statements of Work (SOWs), technical design documents, delivery checklists, and implementation plans.
Develop 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.
Participate in 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.