Data Engineer Power BI

Role Overview
The Data Engineer with strong Power BI experience will support enterprise data and reporting initiatives. This individual will help design, build, and maintain data pipelines, reporting solutions, and dashboards that improve business visibility and decision-making across the organization. The ideal candidate will have a strong technical foundation in data engineering along with the ability to support reporting and analytics needs in partnership with business stakeholders. This role will work across data sources and business functions to help improve reporting quality, streamline access to data, and support scalable analytics solutions. Experience in enterprise environments and the ability to connect technical work to business needs will be important.

Key Responsibilities

Design, build, and maintain data pipelines to support reporting, analytics, and business intelligence needs
Develop, enhance, and support Power BI dashboards, reports, and data models
Partner with business stakeholders to understand reporting needs and translate them into practical data and reporting solutions
Integrate and transform data from multiple enterprise systems and sources
Improve data quality, consistency, and accessibility across reporting environments
Support the development of reusable datasets, semantic models, and reporting structures
Troubleshoot reporting and data issues, identify root causes, and support resolution efforts
Help establish best practices around data validation, governance, and report performance
Collaborate with IT, business teams, and external partners on data-related initiatives
Create and maintain technical documentation for data flows, reporting logic, and system processes

Required Qualifications/Skills

Bachelor’s degree in Computer Science, Information Technology, or related field.
4+ years of experience in data engineering, BI, or analytics engineering
Strong experience with Power BI, including report development, dashboards, data modeling, and DAX
Experience building and maintaining ETL / ELT pipelines
Strong SQL skills and experience working with large, complex datasets
Experience integrating data from multiple business systems and enterprise applications
Ability to work with business users to gather requirements and translate them into reporting and data solutions
Strong problem-solving skills and ability to manage multiple priorities
Strong communication skills and comfort working across technical and non-technical teams

Preferred Qualifications

Experience in a manufacturing, distribution, or enterprise operational environment
Experience with ERP, finance, or commercial data
Familiarity with data governance and reporting controls
Exposure to cloud data environments or modern data platforms
Experience supporting executive or operational reporting
Knowledge of data warehouse concepts and dimensional modeling

Locations: Pittsburgh, PA

About Techstra Solutions
Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: www.techstrasolutions.com

Equal Employment Opportunity Statement

Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics.

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