Power BI

Power BI Engineer Jobs

238 jobs found

2mo ago

Senior Software Engineer

Serco North America Herndon, VA

Herndon, VA

2mo ago Closed

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

This position is no longer accepting applications (closed Aug 19, 2026).

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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2mo ago

AI Platform Data Engineer, Ring Agent Platform Org

Amazon.com Services LLC Hawthorne, CA

Hawthorne, CA

2mo ago Closed

$132k - $179k/yr Full time Analytics Artificial Intelligence AWS

This position is no longer accepting applications (closed Aug 19, 2026).

Job Description

Amazon’s Ring Agent Platform is seeking an AI Platform Data Engineer to design and operate scalable data infrastructure that underpins subscription lifecycle analytics, monitors service performance, and enables self-service reporting. This onsite role in Hawthorne, CA offers a salary range of USD 132,100 to 178,800 per year and requires a Master’s degree with at least three years of data engineering experience. You will collaborate with teams across Subscription, Finance, and Monitoring Services to translate needs into data capabilities and ensure governance and security.

Responsibilities

Build and maintain efficient, scalable data pipelines that respect privacy and security, curate datasets for AI/ML use, and support AI-native self-service data platforms.
Partner with stakeholders across Subscription, Finance, and Monitoring Services to gather requirements and deliver data solutions.
Create and maintain curated datasets that support agent-focused analysis of customer lifecycles, churn signals, and service health metrics.
Develop and operate data pipelines using AWS services and internal Amazon tools, incorporating automation to improve efficiency.
Contribute to self-service data platforms enabling stakeholders to access and explore subscription and monitoring data.
Implement data governance components including data classification, PII detection, and lineage tracking.
Lead and participate in collaborative sessions that help stakeholders understand and adopt data capabilities.

Requirements

Three or more years of data engineering experience.
Experience with SQL.
Experience with data modeling, data warehousing, and building ETL pipelines.
Experience building and operating highly available distributed systems for extracting, ingesting, and processing large data sets.
Experience developing, deploying, and managing AI products at scale.
Master's degree.

Technologies

SQL
Redshift
S3
AWS Glue
EMR
Kinesis
Firehose
Lambda
IAM
QuickSight
Tableau
Power BI
internal Amazon tools
AWS services

Benefits

Health insurance covering medical, dental, vision, and prescription needs
401(k) with company matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Life insurance including Basic Life and AD&D with optional supplemental plans
Employee Assistance Program (EAP)
Mental health support
Flexible Spending Accounts
Adoption and surrogacy reimbursement coverage
Medical Advice Line

About the Team

The Agent Platform Organization sits at the forefront of Ring's move toward an AI powered operating model. The team pioneers cross-organizational data models, builds governance frameworks, delivers Business Intelligence support across multiple groups, and creates both customer-facing and internal tools that accelerate and improve decision making across the company.

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2mo ago

BI & Analytics Analyst/Data Engineer

JSSA Rockville, MD

Rockville, MD

2mo ago Closed

Full time Analyst Analytics Azure Data Lake

This position is no longer accepting applications (closed Aug 18, 2026).

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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2mo ago

Data & Analytics Engineer

Electro-Mechanical Corporation Bristol, VA

Bristol, VA

2mo ago Closed

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

This position is no longer accepting applications (closed Aug 18, 2026).

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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2mo ago

BI Developer/Analytics Engineer

Speed Express Montebello, CA

Montebello, CA

2mo ago Closed

$95k+/yr Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Speed Express is seeking a BI Developer / Analytics Engineer to design, develop, and maintain enterprise reporting and analytics solutions in Montebello, California. The role centers on transforming raw data into actionable business insights through close collaboration with analysts and data engineering teams to build dashboards, semantic models, data marts, and self-service reporting.

Responsibilities

Improve dashboard performance, data refresh efficiency, and query execution times
Troubleshoot reporting and data performance issues
Ensure scalability and maintainability of BI solutions

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or related field
3+ years of experience in BI development, analytics engineering, or business intelligence solutions
Proven ability to develop dashboards and enterprise reporting solutions
Advanced SQL skills with experience optimizing analytical queries
Experience with dimensional modeling and data warehousing concepts
Strong analytical, problem-solving, and communication skills
Experience with Power BI and/or Tableau
Web-based dashboard development and self-service reporting platforms
Experience with SQL, dimensional modeling, data marts, semantic/business modeling, and KPI/metrics design

Technologies

Power BI
Tableau
SQL
dbt

Benefits

401(k)
Dental insurance
Health insurance
Life insurance
Paid time off
Parental leave
Vision insurance

Governance and Standards

Standardize metrics and reporting definitions across departments
Maintain data accuracy, consistency, and reporting quality standards
Implement BI development best practices and documentation standards
Support user acceptance testing (UAT) and dashboard validation activities

Collaboration and Support

Work closely with Business Analysts and stakeholders to understand reporting requirements and business processes
Partner with data engineers to ensure reliable and high-quality data pipelines
Provide support and enhancements for existing dashboards and reporting solutions
Train and support business users on self-service reporting capabilities

Preferred Additional Skills

Experience with data warehouse or lakehouse environments
Familiarity with dbt or analytics engineering workflows
Knowledge of ETL/ELT processes
Experience with DAX, Tableau calculations, or similar analytical languages
Understanding of data governance and reporting standards

Preferred Qualifications

Experience supporting enterprise BI environments
Experience working with cross-functional business teams
Familiarity with cloud-based analytics platforms
Experience with performance tuning for large-scale reporting environments
Understanding of financial, operational, or executive reporting

Key Competencies

Business intelligence development
Data visualization and storytelling
Analytical thinking
Data modeling and KPI design
Attention to detail and data accuracy
Cross-functional collaboration
Problem-solving and performance optimization

Equal Employment Opportunity

Pay: From $95,000 per year

Application Question

Will you require sponsorship from the company?

Language

Mandarin is required

Work Location

Onsite in Montebello, CA

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2mo ago

Senior Analytics Engineer (Marketing)

Ledgent Technology New York, NY

New York, NY

2mo ago Closed

$58 - $91/hr Contract Marketing Senior Analytics

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Ledgent Technology is seeking a Senior Analytics Engineer for Marketing to design and deliver sophisticated dashboards and automated reporting for the Marketing Analytics team. This contract role encompasses end-to-end BI work, from data acquisition to platform integrations, with a contract-to-hire path through Roth Staffing. The position is based onsite in New York, NY.

Location

New York, NY (onsite)

Compensation

USD 58 - 91 per hour

Employment Type

Contract

Responsibilities

Design and develop complex dashboards with interactive features while applying visualization best practices for clarity and usability.
Build and maintain advanced SQL queries and Python automation to support data extraction, transformation, quality assurance checks, and scheduled reporting; manage shared code in Git or Azure DevOps with standard commits, reviews, and documentation.
Create automated reporting pipelines and repeatable delivery patterns to reduce manual effort and increase reliability.
Independently source and integrate datasets; document data lineage and identify gaps, inconsistencies, or definitional misalignments.
Clarify ambiguous requirements by asking targeted questions, proposing visualization approaches, and aligning scope and success criteria with stakeholders.
Collaborate with Marketing and enterprise stakeholders to support MarTech data acquisition strategies and platform integrations, improving availability and usability of marketing datasets for reporting and analytics.
Conduct thorough self-QA and milestone reviews to ensure accuracy in filters, calculations, and adherence to definitional standards.
Present BI outputs and insights to stakeholders with a clear narrative, outlining assumptions, limitations, and tradeoffs.
Mentor entry-level BI engineers on tools, best practices, documentation, and stakeholder communication.
Manage multiple projects concurrently, accurately scoping timelines and proactively flagging risks.
Embrace a growth mindset, seek feedback, and continuously improve BI craftsmanship through iterative iteration.

Requirements

Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Intelligence, or a related field.
5+ years of experience in BI or analytics engineering or a closely related domain.
Expert SQL skills; advanced experience with BI tools such as Tableau, Power BI, or Looker.
Strong knowledge of reporting standards, metric definitions, and dashboard usability principles.
Effective communicator with experience translating stakeholder needs into technical specifications.

Technologies

SQL, Python, Git, Azure DevOps
Tableau, Power BI, Looker, LookML
MetricFlow, dbt, Snowflake
Google Analytics, Campaign Manager 360 (CM360), SA360, Salesforce

Role Summary

The Marketing Analytics organization is seeking a seasoned BI professional to join as a Senior Analytics Engineer (Marketing). The role focuses on building complex dashboards and automated reporting, translating stakeholder questions into technical specifications, and delivering outputs that are accurate, well designed, and aligned with definitional standards.

Contract Details

Contract-to-hire through Roth Staffing.

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2mo ago

BI Software Engineer I

Penske Truck Leasing and Logistics Reading, PA

Reading, PA

2mo ago Closed

Full time Analytics APIs Business Analytics

This position is no longer accepting applications (closed Aug 15, 2026).

Job Description

Based in Reading, Pennsylvania and onsite, this BI Software Engineer I role sits at the intersection of data insight and enterprise systems. You will design, develop, and support BI applications while guiding associate engineers in BI best practices, helping to deliver innovative solutions for a broad set of stakeholders within Penske Truck Leasing and Logistics.

What you will be doing

Participate in all phases of the BI software development lifecycle by supporting ongoing efforts, troubleshooting issues as they arise, and delivering new modules across multiple small to mid-size projects.
Lead the design of selected software components and propose new frameworks, applications, and features driven by industry trends.
Consult with process owners to review requirements and translate them into effective systems.
Support integration efforts to merge BI platforms with enterprise systems and applications.
Collaborate with a diverse team and mentor junior BI software engineers.
Serve as the primary contact and lead support for multiple BI applications.
Play a key role in supporting the application lifecycle from design through testing, release, and ongoing support under direction from senior BI engineers and leads.
Work with technical and business leaders and product owners to capture requirements and acceptance criteria.
Develop and maintain a variety of reports, dashboards, and visualizations, and design BI applications that connect to databases and data warehouses.
Analyze data to identify discrepancies and performance bottlenecks and apply data modeling techniques to enable actionable insights.
Contribute to data-driven decision making by translating data into analytical solutions and recommendations.
Support mission-critical applications, assist in resolving customer issues, and produce clean, well-documented code adhering to coding standards.
Triage production issues and collaborate with multiple teams to analyze and resolve problems.
Assign and review work for junior and offshore BI engineers and participate in new hire interviews.
Influence the discovery and decision-making process when changes to standards, tools, conventions, and design patterns are required.
Provide business support by addressing user questions, concerns, and implementation feasibility discussions.
Communicate status and issues to team members and stakeholders, working with project teams and cross-functional teams to ensure timely delivery and smooth hand-offs.
Ensure solutions are sustainable across implementations and use, troubleshoot open issues, perform bug fixes, and maintain on-time delivery.

Penske responsibilities

Act as the primary contact and lead support for multiple BI applications.
Play a critical role across the application lifecycle, guided by senior BI engineers and leads, including design, development, testing, release, and support.
Collaborate with technical and business leaders and product owners to gather requirements and acceptance criteria.
Develop and maintain reports, dashboards, and visualizations to support data analysis.
Design BI applications with integration to databases and data warehouses, and support enterprise-wide BI platform integrations.
Analyze data for discrepancies and performance issues and apply data modeling methods to enable data-driven decisions.
Provide support for mission-critical applications and assist in resolving customer issues.
Deliver clean, maintainable code that aligns with coding standards and best practices.
Triage production issues and coordinate problem analysis with multiple teams.
Assign and review work for junior and offshore BI engineers and participate in new hire interviews.
Influence standards and technology choices, including tools, conventions, and design patterns.
Respond to user questions and issues with feasible technical and implementation guidance.
Communicate status and issues to team members and stakeholders, ensuring collaboration across project teams.
Ensure long-term sustainability of solutions and manage on-time delivery and hand-offs.

Penske qualifications

Bachelor’s Degree in Computer Science, Computer Engineering, or equivalent software development experience.
5-7 years of technology experience.
4+ years of hands-on BI application development using tools such as Qlik Sense, Power BI, Tableau, or similar.
Experience with the full BI software development lifecycle.
Proficiency in Java, React, Angular, jQuery, HTML, JavaScript, CSS, APIs, and web services.
Familiarity with UI/UX design frameworks and patterns.
Experience in relational database design, implementation, and data modeling techniques.
Understanding of big data analytics and reporting, with exposure to cloud environments such as AWS.
Experience with data-driven testing approaches and analytical methods, including regression models and advanced analytics software.
Knowledge of technical project management and BI design frameworks and patterns.
Awareness of industry-wide technology strategies and best practices.
Experience with Agile methodology and strong troubleshooting abilities.
Ability to research emerging software development frameworks and tools, and estimate medium to large projects.
Excellent communication and interpersonal skills.