Senior Data Engineer, Professional Services
for section headings (About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Use - for any list of duties/requirements/benefits, and
for prose. Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones.
We need to decide which sections to include based on content.
We have:
- Location: Reston, United States of America (but also Job Location: DC On Client Site). There's some conflict: location field says Reston, but later says DC On Client Site. We need to preserve all substantive info. Could include location info in a short
.
- Function: (DEAI HV) FedCorp
- Requisition ID: R0145033 (should be folded into short
or dropped). We'll include a short
with metadata.
- Our Company: description.
- Position Overview: description.
- Job Location: DC On Client Site.
- Key Responsibilities (multiple bullet points under subheadings: Technical Leadership, Professional Services Delivery, Solution Design & Development, Innovation & Service Development, Collaboration & Leadership). We need to output a list of duties/requirements. Use
- for any list of duties/requirements/benefits. So we can combine all responsibilities into a list.
- Qualifications: includes required qualifications (clearance, degree, experience, etc.) and Required Technical Skills (list). Also Preferred Qualifications (list). Also Success Profile (description). Also Compensation (Pay) and Benefits.
We need sections: About the role (maybe Position Overview + Our Company?), Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule.
But we should only include sections that have real specific content.
Let's map:
- About the role: Could be Position Overview + Our Company? The instruction says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have About the role (maybe summarizing position overview and company). But we must not invent or summarize away detail; we need to preserve ALL substantive information. So we could put the Position Overview text under About the role as prose (
). Also maybe include Our Company description there as well? But that might be duplication. However we need to preserve all info; we can include both.
- Responsibilities: list of duties from Key Responsibilities sections.
- Requirements: maybe the mandatory qualifications (clearance, degree, experience, etc.)? Could be under Requirements.
- Qualifications: maybe the Required Technical Skills? Or we could combine Requirements and Qualifications? The instruction lists both as possible headings. We need to decide based on content.
We have:
Qualifications (mandatory): Active TS/SCI clearance, Bachelor's degree, Minimum 8 years experience, Proven experience leading technical implementation projects, 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: list of technologies (programming, data engineering, enterprise platforms, software engineering). That's a list.
Preferred Qualifications: list of desirable experience.
Success Profile: description.
Compensation: Pay range $160,000-$205,000 annually, plus bonus eligibility.
Benefits: list of benefits.
Schedule: Not mentioned. So we should not create Schedule section.
Thus we can have sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay.
But we need to avoid thin sections. Perhaps combine Requirements and Qualifications into one? But we have both mandatory qualifications and technical skills; we could treat Requirements as mandatory qualifications (clearance, degree, experience) and Qualifications as technical skills? Or we could have Requirements (mandatory) and Qualifications (preferred). However the instruction says use headings like Requirements, Qualifications, Skills. So we can have:
- About the role (position overview + company)
- Responsibilities (list)
- Requirements (mandatory qualifications: clearance, degree, experience, leadership, consulting skills, communication)
- Qualifications (required technical skills list)
- Skills (maybe preferred qualifications? Or we could treat Skills as preferred qualifications). But we already have Skills heading; we could put preferred qualifications there.
- Benefits (list)
- Pay (compensation range + bonus)
We should not repeat job title as heading.
We need to preserve all substantive info: include location info, function, requisition ID maybe in a short
at top.
We must remove boilerplate: EEO, equal-opportunity, scam-warning, etc. Also remove duplicated lines, application instructions, Federal Contractor Statement, About Us, How We Look After You, etc. Those are boilerplate/legal. So we need to strip those.
We need to keep: Our Company description, Position Overview, Job Location, Key Responsibilities (with subpoints), Qualifications (mandatory), Required Technical Skills, Preferred Qualifications, Success Profile, Compensation, Benefits.
Also maybe include Function and Requisition ID in a short
.
Let's extract content precisely.
Original text:
Location: Reston, United States of America
Function: (DEAI HV) FedCorp
Requisition ID: R0145033
Our Company We're Hitachi Vantara, the data foundation trusted by the world's innovators. Our resilient, high-performance data infrastructure means that customers - from banks to theme parks - can focus on achieving the incredible with data. If you've seen the Las Vegas Sphere, you've seen just one example of how we empower businesses to automate, optimize, innovate - and wow their customers. Right now, we're laying the foundation for our next wave of growth. We're looking for people who love being part of a diverse, global team - and who get excited about making a real-world impact with data.
Position Overview The Senior 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.
Job Location: DC On Client Site
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 & 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 & 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 & 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 requiredBachelor’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 experienceProven experience leading technical implementation projects within enterprise environmentsExperience designing enterprise-scale data architectures and integrationsStrong customer-facing consulting and communication skillsAbility to translate business requirements into technical solutionsExcellent written, verbal, and presentation skills Required Technical Skills Candidates should demonstrate expertise in several of the following technologies: Programming JavaMulti-threaded programmingREST APIsJAX-WSXMLJSONSQLBash scripting Data Engineering Enterprise object storage technologies (S3, Hitachi Content Platform, Centera)Data migration methodologiesEnterprise data integrationData orchestrationAPI-based integrations Enterprise Platforms LinuxGitMavenElasticsearchPostgreSQLApache SparkSolr Software Engineering Software development lifecycle (SDLC)Object-oriented designDesign patternsCI/CD best practicesConfiguration management Preferred Qualifications Experience with one or more of the following is highly desirable: Hitachi Content Platform (HCP)Hitachi Content Intelligence (HCI)AI and machine learning data pipelinesDockerKubernetesPythonApache KafkaApache AirflowCloud platforms (AWS or Azure)TerraformMicrosoft Graph APIsSharePoint integrationsExchange integrationsMicrosoft Work Folder Server APIsSecurity+ Certification (or ability to obtain) Success Profile The Ideal Candidate Is A trusted technical advisor who builds credibility with customers.Comfortable leading enterprise implementations from architecture through deployment.Passionate about mentoring others and developing technical talent.Able to communicate equally well with executives, project managers, and engineers.Curious, adaptable, and eager to learn emerging technologies.Driven to deliver exceptional customer experiences. Why Join Hitachi Federal? At Hitachi Federal, you'll work alongside some of the industry's brightest technical professionals delivering innovative solutions that directly support federal missions. We invest in our employees through continuous learning, leadership development, and meaningful career growth opportunities while fostering a collaborative culture recognized as a Top Workplace. If you're passionate about solving complex technical challenges and helping customers unlock the value of their data, we'd love to hear from you. Compensation Expected Hiring Range: $160,000-$205,000 annually Hitachi Federal is committed to providing equitable, competitive, and market-based compensation. The expected hiring range listed above represents the anticipated salary range for a qualified candidate at the time of posting and has been established in good faith based on the requirements of the position. Final compensation will be determined based on a variety of job-related factors, including, but not limited to: Relevant knowledge, skills, and experienceTechnical expertise and specialized qualificationsEducation, certifications, and professional credentialsScope and complexity of prior experienceInternal equityMarket data and geographic considerations (where applicable)Business needs and budget considerations This position may also be eligible to participate in Hitachi Federal's annual incentive (bonus) program, where applicable, in accordance with company policies and plan provisions. Benefits Hitachi Federal offers a comprehensive and competitive benefits package designed to support the health, well-being, and financial security of our employees and their families. Benefits may include: Medical, Dental, and Vision InsuranceHealth Savings Account (HSA) and Flexible Spending Accounts (FSA)401
for prose. Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones. We need to decide which sections to include based on content. We have: - Location: Reston, United States of America (but also Job Location: DC On Client Site). There's some conflict: location field says Reston, but later says DC On Client Site. We need to preserve all substantive info. Could include location info in a short
. - Function: (DEAI HV) FedCorp - Requisition ID: R0145033 (should be folded into short
or dropped). We'll include a short
with metadata. - Our Company: description. - Position Overview: description. - Job Location: DC On Client Site. - Key Responsibilities (multiple bullet points under subheadings: Technical Leadership, Professional Services Delivery, Solution Design & Development, Innovation & Service Development, Collaboration & Leadership). We need to output a list of duties/requirements. Use
- for any list of duties/requirements/benefits. So we can combine all responsibilities into a list.
- Qualifications: includes required qualifications (clearance, degree, experience, etc.) and Required Technical Skills (list). Also Preferred Qualifications (list). Also Success Profile (description). Also Compensation (Pay) and Benefits.
We need sections: About the role (maybe Position Overview + Our Company?), Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule.
But we should only include sections that have real specific content.
Let's map:
- About the role: Could be Position Overview + Our Company? The instruction says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have About the role (maybe summarizing position overview and company). But we must not invent or summarize away detail; we need to preserve ALL substantive information. So we could put the Position Overview text under About the role as prose (
). Also maybe include Our Company description there as well? But that might be duplication. However we need to preserve all info; we can include both. - Responsibilities: list of duties from Key Responsibilities sections. - Requirements: maybe the mandatory qualifications (clearance, degree, experience, etc.)? Could be under Requirements. - Qualifications: maybe the Required Technical Skills? Or we could combine Requirements and Qualifications? The instruction lists both as possible headings. We need to decide based on content. We have: Qualifications (mandatory): Active TS/SCI clearance, Bachelor's degree, Minimum 8 years experience, Proven experience leading technical implementation projects, 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: list of technologies (programming, data engineering, enterprise platforms, software engineering). That's a list. Preferred Qualifications: list of desirable experience. Success Profile: description. Compensation: Pay range $160,000-$205,000 annually, plus bonus eligibility. Benefits: list of benefits. Schedule: Not mentioned. So we should not create Schedule section. Thus we can have sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay. But we need to avoid thin sections. Perhaps combine Requirements and Qualifications into one? But we have both mandatory qualifications and technical skills; we could treat Requirements as mandatory qualifications (clearance, degree, experience) and Qualifications as technical skills? Or we could have Requirements (mandatory) and Qualifications (preferred). However the instruction says use headings like Requirements, Qualifications, Skills. So we can have: - About the role (position overview + company) - Responsibilities (list) - Requirements (mandatory qualifications: clearance, degree, experience, leadership, consulting skills, communication) - Qualifications (required technical skills list) - Skills (maybe preferred qualifications? Or we could treat Skills as preferred qualifications). But we already have Skills heading; we could put preferred qualifications there. - Benefits (list) - Pay (compensation range + bonus) We should not repeat job title as heading. We need to preserve all substantive info: include location info, function, requisition ID maybe in a short
at top. We must remove boilerplate: EEO, equal-opportunity, scam-warning, etc. Also remove duplicated lines, application instructions, Federal Contractor Statement, About Us, How We Look After You, etc. Those are boilerplate/legal. So we need to strip those. We need to keep: Our Company description, Position Overview, Job Location, Key Responsibilities (with subpoints), Qualifications (mandatory), Required Technical Skills, Preferred Qualifications, Success Profile, Compensation, Benefits. Also maybe include Function and Requisition ID in a short
. Let's extract content precisely. Original text: Location: Reston, United States of America Function: (DEAI HV) FedCorp Requisition ID: R0145033 Our Company We're Hitachi Vantara, the data foundation trusted by the world's innovators. Our resilient, high-performance data infrastructure means that customers - from banks to theme parks - can focus on achieving the incredible with data. If you've seen the Las Vegas Sphere, you've seen just one example of how we empower businesses to automate, optimize, innovate - and wow their customers. Right now, we're laying the foundation for our next wave of growth. We're looking for people who love being part of a diverse, global team - and who get excited about making a real-world impact with data. Position Overview The Senior 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. Job Location: DC On Client Site 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 & 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 & 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 & 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 requiredBachelor’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 experienceProven experience leading technical implementation projects within enterprise environmentsExperience designing enterprise-scale data architectures and integrationsStrong customer-facing consulting and communication skillsAbility to translate business requirements into technical solutionsExcellent written, verbal, and presentation skills Required Technical Skills Candidates should demonstrate expertise in several of the following technologies: Programming JavaMulti-threaded programmingREST APIsJAX-WSXMLJSONSQLBash scripting Data Engineering Enterprise object storage technologies (S3, Hitachi Content Platform, Centera)Data migration methodologiesEnterprise data integrationData orchestrationAPI-based integrations Enterprise Platforms LinuxGitMavenElasticsearchPostgreSQLApache SparkSolr Software Engineering Software development lifecycle (SDLC)Object-oriented designDesign patternsCI/CD best practicesConfiguration management Preferred Qualifications Experience with one or more of the following is highly desirable: Hitachi Content Platform (HCP)Hitachi Content Intelligence (HCI)AI and machine learning data pipelinesDockerKubernetesPythonApache KafkaApache AirflowCloud platforms (AWS or Azure)TerraformMicrosoft Graph APIsSharePoint integrationsExchange integrationsMicrosoft Work Folder Server APIsSecurity+ Certification (or ability to obtain) Success Profile The Ideal Candidate Is A trusted technical advisor who builds credibility with customers.Comfortable leading enterprise implementations from architecture through deployment.Passionate about mentoring others and developing technical talent.Able to communicate equally well with executives, project managers, and engineers.Curious, adaptable, and eager to learn emerging technologies.Driven to deliver exceptional customer experiences. Why Join Hitachi Federal? At Hitachi Federal, you'll work alongside some of the industry's brightest technical professionals delivering innovative solutions that directly support federal missions. We invest in our employees through continuous learning, leadership development, and meaningful career growth opportunities while fostering a collaborative culture recognized as a Top Workplace. If you're passionate about solving complex technical challenges and helping customers unlock the value of their data, we'd love to hear from you. Compensation Expected Hiring Range: $160,000-$205,000 annually Hitachi Federal is committed to providing equitable, competitive, and market-based compensation. The expected hiring range listed above represents the anticipated salary range for a qualified candidate at the time of posting and has been established in good faith based on the requirements of the position. Final compensation will be determined based on a variety of job-related factors, including, but not limited to: Relevant knowledge, skills, and experienceTechnical expertise and specialized qualificationsEducation, certifications, and professional credentialsScope and complexity of prior experienceInternal equityMarket data and geographic considerations (where applicable)Business needs and budget considerations This position may also be eligible to participate in Hitachi Federal's annual incentive (bonus) program, where applicable, in accordance with company policies and plan provisions. Benefits Hitachi Federal offers a comprehensive and competitive benefits package designed to support the health, well-being, and financial security of our employees and their families. Benefits may include: Medical, Dental, and Vision InsuranceHealth Savings Account (HSA) and Flexible Spending Accounts (FSA)401