
Federal Data Engineer
Reston, VAJobSeen todaySeen in employer's feed today
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Job overview
Hitachi Federal Corporation seeks a Federal Data Engineer to lead complex professional services engagements from design through implementation. The role designs enterprise-scale data engineering solutions, delivers data integration and object storage solutions, and develops Java-based applications, APIs, and automation. It also includes customer-facing technical leadership, mentoring engineers, collaborating across teams, and contributing to service innovation.
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Full job description
KEY RESPONSIBILITIES: Technical Leadership - 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. Professional Services Delivery - 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. Solution Design and Development - 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. Innovation and Service Development - 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. Collaboration and Leadership - 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. QUALIFICATIONS: - Active Top Secret / Sensitive Compartmented Information (TS/SCI) Security Clearance required - Bachelors 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 Required Technical Skills Candidates should demonstrate expertise in several of the following technologies: Programming - Java - Multi-threaded programming - REST APIs - JAX-WS - XML - JSON - SQL - Bash scripting Data Engineering - Enterprise object storage technologies (S3, Hitachi Content Platform, Centera) - Data migration methodologies - Enterprise data integration - Data orchestration - API-based integrations Enterprise Platforms Linux Git Maven
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