Power Platform

Power Platform Engineer Jobs

27 jobs found

2d ago

General Engineer-Distribution Capacity Planning

ComEd Oakbrook Terrace, IL

Oakbrook Terrace, IL

2d ago

$92k - $127k/yr Full time Electrical Engineering AutoCAD Business Analytics

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Job Description

The General Engineer leads and supports engineering efforts across ComEd's utility infrastructure, including electric and gas distribution, transmission, substations, and related systems. This onsite role in Oakbrook Terrace, IL offers a salary range of USD 92,000 to 126,500 per year and requires a Bachelor of Science degree in Engineering with relevant experience to ensure compliance with internal and regulatory standards.

Responsibilities

Performs moderately complex engineering assignments, exercising independent judgment under the guidance of senior engineers, including data collection and analysis, interpretation of results, drawing conclusions, and presenting recommendations to management. Time allocation is approximately 50%.
Leads small engineering projects or tasks, coordinating with cross-functional teams to ensure technical requirements and standards are met. Time allocation is approximately 30%.
Provides technical support and consultation to engineering and operating groups, assisting in the design, installation, and maintenance of systems and equipment, including review and validation of studies, blueprints, or designs against established engineering principles.
Participates in the evaluation and improvement of technical systems and processes, contributing to project planning and implementation, and may assign and review work as needed.

Requirements

Bachelor of Science degree in Engineering, or a Licensed Professional Engineer.
Ability to analyze and interpret complex electrical and mechanical systems.
Knowledge and ability to apply problem solving approaches and engineering theory.
Knowledge of engineering designs, principles and practices.
Knowledge of complex field test equipment.
4 to 7 years of professional engineering experience.
Broad knowledge and experience with regulations, guides, standards, codes, methods, practices, and advanced engineering principles necessary to perform very complex or unique assignments.
Minimum of two related career experiences (defined as changes in technical job responsibilities, which may or may not include a change in department) or Engineer in Training, or 50 percent complete with an advanced technical degree, MBA, or Project Management Certification.

Technologies

CYMDIST
PSS/E
Python
PLS-CAD
Pole Foreman
Power BI

Benefits

Salary: USD 92,000–126,500 per year
Annual bonus: 15%
401(k) match and annual company contribution
Medical, dental and vision insurance
Life and disability insurance
Paid time off and leave options including vacation, sick time, floating and fixed holidays, parental leave
Employee Assistance Program
Wellbeing programs including tuition reimbursement, adoption and surrogacy assistance, fitness reimbursement
Referral bonus program

Preferred Qualifications

Graduate degree or graduate level work in Engineering, Business Administration, or Project Management Certification
Engineer in Training (EIT) certification and/or Professional Engineer (PE) license
Strong teamwork, interpersonal skills, and the ability to communicate with all management levels
Strong written and oral communication, presentation, report generation, and technical writing skills
Working knowledge of analysis software packages such as CYMDIST, PSS/E, Python, PLS-CAD, Pole Foreman, Power BI, or similar

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2d ago

Business Analytics Engineer

BD Summit, IN

Summit, IN

2d ago

Full time Analytics Azure Synapse Analytics Big Data

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Job Description

BD seeks a motivated Business Analytics Engineer to join the Waters Advanced Diagnostics analytics team in Summit, Indiana, onsite.

Responsibilities

Create, refine, and sustain advanced Power BI data models, dashboards, and reports that underpin integrated business analytics.
Develop semantic models with emphasis on performance tuning and efficient DAX implementations.
Create data collection tools with Power Apps and automate workflows using Power Automate and Python.
Design and deploy Python driven data automation pipelines.
Execute ETL processes from diverse sources, including SAP, SharePoint, and other enterprise systems or cloud storage services.
Deliver integrated analytics solutions by leveraging existing frameworks and reusable components.
Collaborate with cross-functional stakeholders to convert business needs into analytic solutions.
Monitor, support, troubleshoot, and optimize existing solutions to improve performance and usability; this accounts for about 30 percent of the role.
Lead or contribute to new development initiatives with short project cycles of 1 to 2 months; this accounts for about 70 percent of the role.
Ensure data quality, integrity, and governance across solutions.
Maintain clear documentation of datasets, models, and workflows.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
4 to 5 years of hands-on experience in a data analytics or analytics engineering role within a business environment.
Advanced Power BI capabilities, including data modeling, DAX, and performance optimization.
Proven experience building Power Apps and Power Automate flows.
Expertise in Excel and Power Query.
Proficiency in Python for data automation and scripting.
Working knowledge of SQL and other data-centric scripting languages.
Strong understanding of data models, structures, and architecture principles.
Experience with ETL processes.
Familiarity with GitHub or similar version control tools.
Experience integrating with SharePoint for data storage and integration.
Strong business acumen and understanding of cross-functional business processes.

Technologies

Power BI
DAX
Power Apps
Power Automate
Python
SAP
SharePoint
SQL
Excel
Power Query
GitHub
SAP GUI
Azure
Databricks
Microsoft Fabric

Primary work location

IND Gurgaon - Aurbis Summit

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2d ago

Data Analyst & AI Engineering

Metrocast Cable Systems Quincy, MA

Quincy, MA

2d ago

$30 - $33/hr Full time Python Analyst Analytics

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Job Description

Hybrid Data Analyst and AI Engineering role at Metrocast Cable Systems in Quincy, MA, offering USD 30-33 per hour.

Responsibilities

Aggregate and sanitize large, heterogeneous datasets from multiple sources to maintain data quality and integrity, ensuring data is consistently clean and ready for analysis.
Conduct thorough data analyses to identify trends, patterns, and correlations that inform strategic decisions.
Create and maintain dashboards and reports using data visualization tools to communicate findings clearly to stakeholders.
Support the design, development, and deployment of machine learning models and AI algorithms.
Assist with training, validation, and evaluation of AI systems to ensure they meet performance benchmarks.
Collaborate with engineering and product teams to embed AI powered solutions into the company's services.
Produce comprehensive reports and presentations that clearly communicate analytical results and recommendations.
Stay current with evolving industry trends and advancements in data analytics and artificial intelligence.

Requirements

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
Proven experience in a data analysis role with a solid grounding in statistical principles.
Proficiency in SQL for querying and shaping data.
Strong programming skills in Python or R, including experience with data analysis libraries such as Pandas and NumPy.
Familiarity with machine learning concepts and core AI frameworks like Scikit-learn, TensorFlow, or PyTorch.
Experience using data visualization tools such as Tableau or Power BI.
Excellent analytical and problem-solving abilities with keen attention to detail.
Strong written and verbal communication skills, able to explain complex technical concepts to non-technical audiences.
Proactive, collaborative mindset with a demonstrated passion for data-driven innovation.

Technologies

SQL
Python
R
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Tableau
Power BI

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5d ago

Senior Software Engineer

Serco North America Herndon, VA

Herndon, VA

5d ago

$104k - $173k/yr Full time Senior Automation Azure

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Job Description

Senior Software Engineer role focused on Microsoft Power Platform for Navy programs at Serco North America, based in Herndon, VA with hybrid work options and travel up to 10%.

Responsibilities

Design, develop, test, deploy, and maintain Power Apps (canvas and model-driven), Power Automate flows, and Power BI reports and dashboards for Navy mission and administrative workflows.
Integrate Power Platform solutions with Department of the Navy systems using Flankspeed approved connectors and patterns; build secure APIs and middleware as needed.
Ensure compliance with Department of Navy security policies, STIGs, accreditation and ATO requirements, and data handling rules when deploying solutions in Flankspeed enclaves.
Implement Dataverse data models, manage connectors (SharePoint, SQL, and custom connectors), and design secure data access with role based security.
Perform solution validation, unit and integration testing, user acceptance testing, and support production cutover and sustainment activities.
Troubleshoot production incidents; monitor performance and apply tuning or refactoring as needed.
Participate in design reviews and provide documentation, runbooks, training materials, and user training for stakeholders and administrators.
Mentor junior engineers to support team development.

Requirements

Active U.S. Secret security clearance.
High School Diploma or GED.
5+ years of hands-on experience developing production solutions using Microsoft Power Platform (Power Apps, Power Automate, Power BI).
Understanding of DoN/DoD cybersecurity requirements and data classification handling.
Strong stakeholder communication, documentation, and collaboration skills; ability to work with military and civilian personnel.
Ability to travel up to 10%.

Technologies

Power Apps
Power Automate
Power BI
Dataverse
SharePoint
SQL
Custom connectors
Flankspeed
Power Fx
JavaScript/TypeScript
PowerShell
Azure Functions
AD/Azure AD

Benefits

Medical, dental, and vision insurance
Generous vacation and sick leave; flexible work arrangements where permitted by role or contract
401(k) plan with employer matching funds
Tuition reimbursement program
Life insurance and disability coverage
Optional coverages: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
Parental leave benefits
Employee Assistance Plan

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7d ago

BI & Analytics Analyst/Data Engineer

JSSA Rockville, MD

Rockville, MD

7d ago

Full time Analyst Analytics Azure Data Lake

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Job Description

JSSA in Rockville, MD is seeking a hybrid BI and Analytics Analyst/Data Engineer to lead the design, development, and management of data and analytics solutions. The role spans end-to-end analytics from SQL Server data warehouse design to self-service Power BI reporting, partnering with IT business teams and data engineers to convert raw data into trustworthy, actionable insights. This position emphasizes data quality, governance, and enabling stakeholders to make informed care decisions.

Responsibilities

Collaborate with IT business partners and operational leaders to design analyses that reveal opportunities to improve care, assess adherence to clinical best practices, and quantify outcomes.
Help ensure agency data repositories deliver consistent, reusable data by working with key staff to establish, implement, and guide standards and best practices.
Promote best-practice knowledge to business stakeholders to enable self-service analytics rather than IT-driven development.
Own self-service reporting datasets, including DAX measures, data models, and row-level security.
Translate business requirements into clear analytical deliverables, manage stakeholder expectations, and iterate based on feedback.
Monitor report usage and data quality, proactively identifying and resolving issues.
Document data definitions, metric logic, and report lineage to support a data-literate culture within the agency.
Leverage technical tools to query, manipulate, and summarize data from multiple sources.
Assist in designing, developing, maintaining, and updating databases to meet department and organizational needs.
Design and build star schema data warehouse objects in SQL Server, including fact tables, dimension tables, and aggregates.
Develop and maintain T-SQL stored procedures, ETL pipelines, and staging-to-DWH data loads.
Create and own source-to-target mapping documentation for new data domains.
Integrate data from source systems.
Contribute to data quality, pipeline reliability, and warehouse performance optimization.
Support the adoption of self-service analytics by building clean, well-documented datasets.
Document current data architecture, define logical and physical data structures, and establish the agency data blueprint.
Manage and support the data warehouse solution (Wherescape RED), SQL Server, and related components.
Define operational monitoring and alerting tools to ensure end-to-end delivery of trusted, quality data from sources to consumption.
Establish best-practice standards and processes for data automation, orchestration, and transformation.
Identify, design, implement, and manage a master data management solution for client and employee subjects, collaborating with stakeholders to define data quality standards and operational DQ processes.

Requirements

Bachelor’s degree is required; a Master’s degree is highly preferred.
5-7+ years of experience in a BI, analytics, or data engineering role.
Strong proficiency in SQL Server and T-SQL, including stored procedures, window functions, and query optimization.
Hands-on experience building and maintaining Power BI reports and semantic models (DAX, Power Query).
Hands-on experience with Wherescape OLAP solutions; familiarity with Azure Analysis Services, Azure Data Lake, and Azure Synapse Analytics is welcome.
Experience integrating or working with EHR data (reports, APIs, or data exports).
Familiarity with star schema and dimensional modeling concepts; Kimball methodology is a plus.
Python experience for data wrangling, automation, or pipeline scripting.
Experience with Microsoft Master Data Services (MDS), including defining entities and business rules.
Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS).
Comfortable working across the full analytics stack from raw data to end-user reports.
Strong communication skills, with the ability to explain data concepts clearly to non-technical stakeholders.
Advanced proficiency with Microsoft Office tools (Power BI), SQL, and experience with EMR systems (hospice, home care, and/or mental health) is desirable.

Technologies

SQL Server
T-SQL
Power BI
DAX
Power Query
Wherescape RED
Azure Analysis Service
Azure Data Lake
Azure Synapse Analytics
Microsoft Master Data Services (MDS)
Microsoft Data Quality Services (DQS)
SQL Server Integration Services (SSIS)

Benefits

Competitive salary
Benefits package
Healthy work-life balance
Collaborative team environment
Opportunities for personal growth and professional development

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7d ago

Data & Analytics Engineer

Electro-Mechanical Corporation Bristol, VA

Bristol, VA

7d ago

$85k - $110k/yr Full time Analytics Azure Data Factory Azure Platform

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Job Description

Electro-Mechanical Corporation offers an onsite Data & Analytics Engineer opportunity in Bristol, VA with a competitive salary range of $85,000–$110,000 per year. This role places you at the forefront of our data strategy, enabling you to design, build, and maintain a scalable enterprise data platform using Microsoft Fabric, Power Platform, and industry-leading visualization tools. Expect a collaborative environment that values mentorship, governance, and strategic impact as you partner with stakeholders to unlock data-driven decisions across the organization.

Responsibilities

Design, develop, and sustain a scalable enterprise data platform leveraging Microsoft Fabric capabilities including OneLake, Data Factory, Data Engineering, Data Warehouse, Real-Time Analytics, and Lakehouse architecture.
Establish and manage data ingestion, transformation, and orchestration pipelines from multiple internal and external sources.
Develop data models supporting enterprise reporting, analytics, AI, and operational decision making.
Build reusable data products and semantic models to promote consistency and scalability across the organization.
Design and implement ETL/ELT processes using Microsoft Fabric and related Azure technologies.
Integrate ERP, CRM, operational systems, cloud applications, APIs, and third party data sources.
Ensure data quality, reliability, and performance through monitoring, validation, and optimization.
Implement data governance, metadata management, lineage, and security controls.
Develop enterprise dashboards, scorecards, and analytical solutions with Power BI and Tableau.
Create scalable semantic models and datasets to support self-service analytics.
Optimize visualization performance and user experience.
Establish reporting standards, KPIs, and data definitions across business functions.
Collaborate with business stakeholders to translate requirements into actionable analytics solutions.
Establish best practices for data management, access controls, privacy, and compliance.
Define and maintain enterprise data standards and governance frameworks.
Implement role-based security and data access policies within Microsoft Fabric and reporting platforms.
Support audit, compliance, and regulatory requirements.
Evaluate emerging technologies and best practices in cloud analytics, data engineering, and AI.
Promote adoption of modern data architecture principles and analytics capabilities.
Mentor team members and advance data literacy across the organization.
Contribute to roadmap planning and strategic data initiatives.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, Statistics, or a related field; equivalent combinations of education and experience considered.
3–5 years of experience in data engineering, analytics engineering, business intelligence, or related roles.
Proven track record designing, developing, and supporting data pipelines and analytical solutions in production.
Strong SQL skills with experience crafting complex queries, views, stored procedures, and data transformations.
Experience building and maintaining ETL/ELT pipelines.
Experience with modern cloud data platforms such as Fabric, Snowflake, Databricks, or Azure Synapse.
Knowledge of data warehousing concepts, dimensional modeling, and data architecture best practices.
Experience with enterprise integrations, middleware, APIs, and data migration methodologies.
Experience with Microsoft Azure, AWS, or Google Cloud Platform.
Understanding of data quality frameworks, monitoring, and validation processes.
Experience implementing data governance, metadata management, and master data practices.
Knowledge of security, privacy, and compliance considerations related to enterprise data.
Experience supporting Finance, Supply Chain, Manufacturing, or Commercial analytics.
Experience in manufacturing, distribution, industrial, or multi-site organizations.

Technologies

Microsoft Fabric, OneLake, Data Factory, Data Warehouse, Power BI, Tableau, Power Apps, Power Automate, Dataverse
Git, SQL, Snowflake, Databricks, Azure Synapse
Microsoft Azure, AWS, Google Cloud Platform
Python, Spark, PySpark
Azure DevOps, Power Platform, API development

Preferred Skills

Microsoft Azure Data Services
Python, Spark, or PySpark
Azure DevOps
DataOps and MLOps concepts
Real-time analytics and streaming architectures
AI/ML integration within Microsoft Fabric
Enterprise ERP and CRM integrations

Preferred Certifications

Microsoft Certified: Fabric Analytics Engineer Associate
Microsoft Certified: Power BI Data Analyst Associate
Microsoft Certified: Azure Data Engineer Associate

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11d ago

Analytics Engineer

ALMAG Contracting Group Frisco, TX

Frisco, TX

11d ago

$62k+/yr Full time Analytics Azure Data Factory Azure Synapse Analytics

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Job Description

ALMAG Contracting Group offers a collaborative and innovative environment with flexibility for work arrangements, robust professional development, and clear opportunities for career advancement. This hybrid Analytics Engineer role in Frisco, TX supports estimating, project management, finance, operations, and executive decision making. The position offers a salary of USD 62,400 per year.

Benefits

Paid time off and company holidays
Health insurance
Flexible work environment
Flexible schedule
Professional development and continuing education opportunities
Professional development assistance
Opportunities for career advancement
Collaborative and innovative workplace culture

Responsibilities

Design, develop, and maintain scalable data pipelines and analytics solutions
Build interactive dashboards and executive reports using Power BI or Tableau
Develop and optimize SQL databases, data warehouses, and data models
Integrate data from accounting systems, CRM platforms, ERP software, estimating systems, project management platforms, and other business applications
Develop predictive analytics models for estimating, budgeting, project performance, labor utilization, equipment tracking, scheduling, and cash flow forecasting
Create company-wide KPIs, scorecards, and executive performance dashboards
Automate manual reporting and repetitive business processes using Python, APIs, and workflow automation tools
Design and maintain secure, scalable analytics architecture
Collaborate with leadership to identify opportunities for operational improvement through analytics and automation
Ensure data quality, governance, documentation, and security best practices
Support strategic planning through advanced reporting, forecasting, and business intelligence

Requirements

Bachelor's or Master's degree in Business Analytics, Data Analytics, Computer Science, Software Engineering, Information Systems, Data Science, or a related field
Experience in analytics engineering, business intelligence, data engineering, software development, or a related technical role
Strong proficiency in SQL
Experience programming with Python
Experience building dashboards using Power BI and/or Tableau
Knowledge of ETL/ELT processes and data modeling
Experience integrating multiple data sources using APIs
Strong analytical, organizational, and problem-solving skills
Excellent written and verbal communication skills