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Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer
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Leverage your breadth of experience to lead the organization through cross-functional and collaborative efforts. Partner with solutioning Data center services, Production Services…
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Senior Forward Deployed Engineer (FDE Lead
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GE Vernova- Grid Engineering Internship - Summer 2027
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- $21 to $34 USD / hour
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Strategic Sourcing Leader - Inconel Forgings
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Benchmark Utility Services

Analytics Engineer

Dulles, VA, United States

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Job details

Experience: 3–5 years of experience (internships and projects included) in BI, data, or solution development
Posting language: English
Posted: Nov 6, 2026

Original job description

The Analytics Engineer builds and supports the reporting, data preparation, and business solutions layer of the technology environments NextEra delivers to its clients. This role turns curated client data into reliable semantic models, reports, and practical solutions while supporting data cleanup, standardization, and governance across client systems. Reporting to the Director of Technology Architecture, this position owns a queue of small client projects and partners with client stakeholders across project management, operations, safety, HR/payroll, and accounting. The work is primarily technical, with some direct support for client users. Business Intelligence & Semantic Modeling

Builds and maintains semantic models (dimensional design, DAX measures, configuration tables) on curated lakehouse data
Develops reports and dashboards for client project management, operations, and safety audiences
Designs clear, action-oriented visuals that users can interpret without training
Maintains models in source control with consistent naming and documentation
Submits model changes for Director review before production release

Data Preparation & Quality

Builds gold-layer tables for reporting using Python notebooks and Dataflows Gen2, following the set standards
Helps lead data cleanup and standardization initiatives, including defining standards, resolving discrepancies across systems, and working with business data owners to drive corrections at the source
Performs data quality checks and reconciliation across client source systems (e.g., ERP, HR/payroll, field systems)
Monitors refresh reliability, troubleshoots failures, and documents fixes
Supports bronze and silver pipeline work as assigned

Small Projects & Solution Delivery

Owns an assigned queue of small client projects from scoping through delivery
Recommends and implements solutions that fit each business need, using the appropriate platform (e.g., Power Apps, SharePoint, Dataverse, Power Automate, other low-code tools, or custom code)
Automates recurring manual processes
Builds API integrations with client and partner platforms as assigned, under the Director's design and standards
Documents each solution's design, rationale, and support requirements
Keeps project status current in the team's project tracking system

Documentation & Governance

Documents data flows, table definitions, business rules, and refresh schedules
Follows development/production environment, naming, and change-control standards
Maintains separation of client data, environments, and access
Supports role-based access on datasets and reports as directed

User Support

Serves as first point of contact for client report, data, and solution questions
Triages and resolves user issues, and escalates platform-level issues
Gathers requirements and feedback from client stakeholders
Creates short guides and training materials for end users
Supports the VP of Technology Innovation's user adoption and change management efforts for delivered solutions

AI & Emerging Technology

Stays current on data, BI, and AI capabilities and recommends tools that improve client solutions
Supports AI pilot use cases identified by the Director and the VP of Technology Innovation, grounded in business process improvements

Requirements

Bachelor's degree in Information Systems, Computer Science, Data Analytics, or a related field, or equivalent practical experience
3–5 years of experience (internships and projects included) in BI, data, or solution development
Working knowledge of Power BI, including DAX, Power Query, and dimensional modeling
Working knowledge of SQL and Python
Understanding of ETL/ELT concepts and relational data modeling, with experience profiling, cleaning, and standardizing data
Hands-on experience with Microsoft Fabric (Lakehouse, notebooks, Dataflows Gen2, pipelines), Azure, or comparable cloud data platforms preferred
Experience with low-code and workflow platforms (e.g., Power Apps, Power Automate, SharePoint, Dataverse), REST APIs, and JSON preferred
Construction, engineering, or similarly complex industry background preferred, including exposure to construction ERP, HR, or payroll systems (e.g., Spectrum, HCSS, ADP)
Consulting or client-facing experience preferred
Ability to learn new tools quickly and select the right one for the problem
Strong debugging skills and the ability to work independently
Clear written and verbal communication; able to work effectively with non-technical users and business data owners
Organized and self-directed, able to manage multiple concurrent requests and drive work to completion

Benefits

Benchmark Utility Services offers competitive compensation, comprehensive benefits and a dynamic work environment that values excellence, teamwork, and professional growth. If you possess the Qualifications and skills to excel in this role, we encourage you to apply.

Equal Opportunity Employer.

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More about this job

Skills

Project management
Documentation
Reporting
Python
Statistical quality control
ERP
Payroll
Power Apps
Microsoft SharePoint
Microsoft Power Automate
Change management
Business processes
Computer science
Data analysis
Microsoft Power BI
Power Query
SQL
Data engineering
Data modelling
Cleaning
Microsoft Azure
Workflow
API development
ADP
Debugging
Work independently
Communication skills

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