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Hitachi

Senior Data Engineer, Professional Services

  • Office
  • 6+ years

Salary

$160,000 - 205,000/ year

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Description

The company is a federal-focused technology business, and this is a customer-facing technical lead role in its Professional Services group.

You will design, build, connect and tune enterprise data engineering solutions for federal customers, working with Project Managers, Solution Architects, Sales Engineers and customer technical teams on complex engagements built on the company's Data Intelligence portfolio.

The role combines software engineering, enterprise data engineering and consulting. You will shape scalable solutions, mentor junior engineers and help build new service offerings.

Job location is DC, on client site.

Responsibilities

  • Lead the technical side of complex engagements, from design through implementation.
  • Design enterprise-scale data engineering solutions that meet the customer's business and technical needs.
  • Run customer architecture workshops, technical planning sessions and solution reviews.
  • Turn customer business goals into scalable technical designs.
  • Act as the main technical escalation point for the life of each project.
  • Deliver high-quality implementations that drive customer success.
  • Deliver enterprise data engineering, data integration and object storage solutions.
  • Work with Project Managers to keep projects on schedule, in scope and in line with customer expectations.
  • Review Statements of Work, technical design documents, delivery checklists and implementation plans.
  • Write customer-facing architecture documents, implementation guides and technical deliverables.
  • Report project status and technical risks to customers and internal stakeholders.
  • Exceed customer expectations on quality, professionalism and technical excellence.
  • Build and extend Java applications, APIs, integrations and automation.
  • Create reusable software components, plugins and integration frameworks.
  • Design scalable enterprise data pipelines and orchestration workflows.
  • Implement REST API integrations between enterprise systems.
  • Improve application performance, scalability and reliability.
  • Diagnose complex issues in enterprise software and infrastructure.
  • Learn and deliver the company's new the company Federal service offerings.
  • Take part in proof-of-concept work and technology evaluations.
  • Build repeatable implementation methods and best practices.
  • Contribute to the internal lab and to service innovation.
  • Suggest changes that raise delivery quality and operational efficiency.
  • Mentor junior engineers and give technical guidance across Professional Services.
  • Join Sales Engineers on customer pursuits and technical presentations.
  • Work with Product, Support and Engineering teams to resolve complex customer issues.
  • Share knowledge through documentation, training sessions and peer mentoring.
  • Build lasting customer relationships based 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 field, or equivalent experience.
  • At least 8 years in enterprise software engineering, data engineering or professional services consulting.
  • Proven record leading technical implementation projects in enterprise environments.
  • Experience designing enterprise-scale data architectures and integrations.
  • Strong customer-facing consulting, communication and presentation skills.
  • Ability to turn business requirements into technical solutions.
  • Demonstrated 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 (S3, the company Content Platform, Centera), data migration methods, enterprise data integration, data orchestration, API-based integrations.
  • Enterprise platforms: Linux, Git, Maven, Elasticsearch, PostgreSQL, Apache Spark, Solr.
  • Software engineering: SDLC, object-oriented design, design patterns, CI/CD practices, configuration management.
  • Preferred qualifications, highly desirable: experience with one or more of the company Content Platform (HCP), the company 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.
  • Preferred: Security+ certification, or the ability to obtain it.
  • The ideal candidate is a trusted technical advisor who builds credibility with customers, is comfortable leading enterprise implementations from architecture through deployment, enjoys mentoring and developing technical talent, and communicates well with executives, project managers and engineers. They are curious, adaptable and keen to learn emerging technologies, and driven to give customers an excellent experience.

Conditions

Expected hiring range: $160,000 to $205,000 per year.

Pay is market-based. The range is the expected figure for a qualified candidate at posting and was set in good faith based on the role's requirements.

Final pay depends on factors including relevant knowledge, skills and experience, technical expertise and specialized qualifications, education, certifications and credentials, scope and complexity of past experience, internal equity, market data and geography where relevant, and business needs and budget.

The role may be eligible for the annual incentive (bonus) program, where applicable, under company policy and plan terms.

Equal opportunity: the company welcomes applicants regardless of protected characteristics and will provide reasonable accommodations during recruitment on request.

Benefits

  • Work alongside experienced technical professionals on federal mission solutions, with continuous learning, leadership development and career growth.
  • The company was recognized as a Top Workplace.
  • Benefits may include medical, dental and vision insurance, HSA and FSA accounts, a 401(k) with company match, company-paid life and disability insurance, flexible paid time off and company holidays, an employee assistance program, an employee stock purchase plan, professional development and training, and wellness and recognition programs.
  • Benefit eligibility and offerings are subject to plan terms and company policy.
  • As a federal contractor, the company meets federal contractor obligations, including equal employment and affirmative action. Some positions may require U.S. citizenship, the ability to obtain and keep a U.S. Government security clearance, or other government eligibility.

Where you’d work

From the office

About the company

Hitachi

Office in United States

Also hiring in Krakow, Poland, Sweden, Italy and 42 more places

9 of their 194 open roles are remote

Your chances

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  • 2 red flags

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Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • PostgreSQL
  • AWS
  • Kubernetes
  • Docker
  • Kafka
  • Azure
  • Spark
  • Airflow
Seniority
Senior
Type
Full-time
Equity
Equity offered
Specialty
Data Engineering
Region
United States
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Senior
Experience
8+ years
Tech stack
  • Python
  • SQL
  • PostgreSQL
  • AWS
  • Kubernetes
  • Docker
  • Kafka
  • Azure
  • Spark
  • Airflow

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
$160,000 - 205,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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