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Data Bi Engineer Jobs in Monaca, PA (NOW HIRING)

Partner with IT and data engineering teams to ensure data integrity and system integration from ... Experience in BI, data analysis, or business analysis, with managerial or lead role. Strong ...

Snowflake Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - / Responsibilities Role Summary We are seeking a Data Engineer to support the ... Align view design with Power BI reporting and API consumption needs Data Quality & Governance

Data Engineer

Pittsburgh, PA · On-site

$108K - $130K/yr

• Current major goal of project is to move from OnPrem to cloud storage to SaaS • ThoughtSpot is a BI tool for the enterprise (internal users) • Team is made of data engineers and business ...

Experience with tools like Tableau, Power BI. * Programming Languages: Familiarity with languages like Python or R. * Data Cleaning and Preparation: Skills in data cleaning, transformation, and ...

Data Engineer

Wexford, PA · On-site

$108K - $130K/yr

SUMMARY As a Data Engineer for our Digital Services division, you will drive the evolution of our ... Experience with business intelligence tools such as Power BI, Spotfire, Cognos, Tableau, Qlik.

Data Engineer

Wexford, PA · On-site

$108K - $130K/yr

SUMMARY As a Data Engineer for our Digital Services division, you will drive the evolution of our ... Experience with business intelligence tools such as Power BI, Spotfire, Cognos, Tableau, Qlik.

Data Architect

Pittsburgh, PA · On-site

$62 - $79.50/hr

Director - Data Engineering Location: Pittsburgh, PA or New York, NY American Eagle is a youth ... Partner with business leaders and the BI team to translate strategic goals into high-quality data ...

Data Architect

Pittsburgh, PA · On-site

$62 - $79.50/hr

Director - Data Engineering Location: Pittsburgh, PA or New York, NY American Eagle is a youth ... Partner with business leaders and the BI team to translate strategic goals into high-quality data ...

Coordinate across BI, Data Engineering, and business stakeholders * Ensure solutions are ready for release (data quality, validation, access, and usability) Translate Business Needs into Action

Data and Analytics Engineer 2

Pittsburgh, PA · On-site

$111K - $133K/yr

... with BI and Data Analysts to understand customer need.The incumbent collects, analyzes and shares data to help business teams drive improvement in key business metrics, customer experience and ...

Data Analysis and Model Development * Assist in developing, training, and evaluating machine ... engineering, vector databases, embeddings, and semantic search concepts. * Experience with Power BI ...

New

Data Analysis and Model Development * Assist in developing, training, and evaluating machine ... engineering, vector databases, embeddings, and semantic search concepts. * Experience with Power BI ...

Engineer

Pittsburgh, PA · On-site

$50K - $70K/yr

Build dashboards, semantic models, and analytics assets using Power BI, Fabric, and related data services. * Partner with product, architecture, and engineering teams to define KPIs and insight ...

... Engineering. * Advises leadership in bi-weekly governance reviews on domain quality trends ... Data Catalogue & Asset Governance * Owns the governance record for assigned domains in the ...

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Showing results 1-20

Data Bi Engineer information

See Monaca, PA salary details

$40.8K

$118.8K

$162.6K

How much do data bi engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data bi engineer in Monaca, PA is $118,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $125,900.00 per year, depending on experience, location, and employer.

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

What cities near Monaca, PA are hiring for Data Bi Engineer jobs?

Cities near Monaca, PA with the most Data Bi Engineer job openings:

Infographic showing various Data Bi Engineer job openings in Monaca, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,807 per year, or $57.1 per hour.

Full-time

Re-posted 10 days ago


Job description

Lead the design, development, and deployment of Power BI dashboards and reports to provide clear insights into operational, financial, and customer performance. Collaborate closely with C-level executives to gather requirements, present insights, and support strategic decision-making. Oversee end-to-end business intelligence lifecycle, including data gathering, modeling, visualization, and performance tuning.

Act as a liaison between business stakeholders and technical teams to ensure alignment on goals and deliverables. Analyze trends, identify root causes of issues, and recommend actionable solutions across transportation, warehousing, and last-mile logistics functions. Manage and mentor a team of BI developers and analysts.

Partner with IT and data engineering teams to ensure data integrity and system integration from multiple logistics and supply chain platforms. Establish KPIs and develop performance tracking frameworks for 3PL partners and internal logistics teams. Drive data governance, standardization, and quality control processes to ensure reliable reporting and analysis.

Requirements Bachelor's or Master's degree in Business Analytics, Information Systems, Data Science, Logistics, or a related field. Experience in BI, data analysis, or business analysis, with managerial or lead role. Strong experience in developing reports and dashboards using Power BI.

Proven ability to communicate technical findings clearly and effectively with C-level stakeholders. Strong analytical and problem-solving skills with a keen business acumen. Experience with data warehousing concepts and working with large datasets.

Excellent leadership, communication, and stakeholder management skills.