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Entry Level Power Bi Developer Jobs in Philadelphia, PA

Data & AI Platform Engineer

Philadelphia, PA

$115K - $138K/yr

... . DevOps & Deployment Support * Contribute to CI/CD workflows for data and analytics assets ... Power BI or Tableau * CI/CD concepts (Git, branching/PRs, basic pipelines) * Basic scripting ...

Report Developer

Exton, PA · On-site

$45.50 - $62.50/hr

The Report Developer is a dedicated, detail-oriented professional responsible for executing ... Future environment will shift reporting into Power BI and Aptean BI as the organization implements ...

W&D Industrial Engineer

West Chester, PA · On-site

$26.75 - $35.25/hr

The W&D Industrial Engineer is responsible for designing, analyzing, and implementing customer ... Analyzing operational data using SQL, Power BI, and other analytical tools to identify trends ...

W&D Industrial Engineer

West Chester, PA

$26.75 - $35.25/hr

The W&D Industrial Engineer is responsible for designing, analyzing, and implementing customer ... Analyzing operational data using SQL, Power BI, and other analytical tools to identify trends ...

W&D Industrial Engineer

West Chester, PA · On-site

$26.75 - $35.25/hr

The W&D Industrial Engineer is responsible for designing, analyzing, and implementing customer ... Analyzing operational data using SQL, Power BI, and other analytical tools to identify trends ...

W&D Industrial Engineer

West Chester, PA

$26.75 - $35.25/hr

The W&D Industrial Engineer is responsible for designing, analyzing, and implementing customer ... Analyzing operational data using SQL, Power BI, and other analytical tools to identify trends ...

Showing results 21-40

Entry Level Power Bi Developer information

See Philadelphia, PA salary details

$29.8K

$101.2K

$243.7K

How much do entry level power bi developer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level power bi developer in Philadelphia, PA is $101,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $107,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Power Bi Developer vs Data Analyst?

AspectEntry Level Power Bi DeveloperData Analyst
Required CredentialsBasic knowledge of Power BI, SQL, and data visualization toolsProficiency in Excel, SQL, and data analysis techniques
Work EnvironmentTypically in IT or Business Intelligence teams, focusing on dashboard developmentOften in business units, focusing on data interpretation and reporting
Employer & Industry UsageUsed across industries for reporting and dashboard creationUsed across industries for data interpretation and decision support
Search & Comparison IntentUnderstanding entry-level Power BI roles and skillsComparing Power BI development with general data analysis roles

The main difference is that Entry Level Power Bi Developers focus on creating dashboards and reports using Power BI, often with some SQL knowledge, while Data Analysts perform broader data interpretation and analysis, sometimes using Power BI as a tool. Both roles are essential in data-driven organizations but differ in scope and daily tasks.

What do entry level Power BI developers do?

As an Entry Level Power BI Developer, you will often start by supporting data analysts and senior developers with tasks like cleaning and preparing data, creating basic reports and dashboards, and updating existing Power BI solutions. You'll likely collaborate closely with business users to understand reporting requirements and help troubleshoot data visualization issues. Over time, you'll gain experience in automating data refreshes, integrating new data sources, and optimizing dashboards, all while learning best practices in data governance and visualization.

What is an entry level Power BI developer?

An Entry Level Power BI Developer is a professional who uses Microsoft Power BI to create data visualizations, dashboards, and reports to help organizations make data-driven decisions. They typically work with business analysts and data engineers to collect, transform, and analyze data from various sources. This role is ideal for individuals new to business intelligence and data analytics, usually requiring basic knowledge of Power BI, data modeling, and DAX (Data Analysis Expressions). Entry level developers often support senior team members and gain hands-on experience through real-world projects.

What skills and qualifications are needed to thrive as an entry level Power BI developer?

To thrive as an Entry Level Power BI Developer, you need a solid understanding of data analysis, data visualization, and basic SQL or database concepts, often supported by a degree in computer science, information systems, or related fields. Familiarity with Power BI, DAX (Data Analysis Expressions), and Microsoft Excel is typically required, and obtaining a Microsoft Power BI certification can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help you interpret business requirements and present insights clearly. These skills ensure you can transform raw data into actionable reports, supporting informed decision-making within organizations.

What are the most commonly searched types of Power Bi Developer jobs in Philadelphia, PA?

The most popular types of Power Bi Developer jobs in Philadelphia, PA are:

What are popular job titles related to Entry Level Power Bi Developer jobs in Philadelphia, PA?

For Entry Level Power Bi Developer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Entry Level Power Bi Developer jobs in Philadelphia, PA look for?

The top searched job categories for Entry Level Power Bi Developer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Entry Level Power Bi Developer jobs?

Cities near Philadelphia, PA with the most Entry Level Power Bi Developer job openings:

Infographic showing various Entry Level Power Bi Developer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $101,177 per year, or $48.6 per hour.

Data Engineer - Agentic AI & ML Ops (Co-op)

Campbell's

Camden, NJ

$115K - $138K/yr

Full-time

Re-posted 4 days ago


Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover.Swanson, and V8.

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.

Operational Support Data Engineer - Agentic AI & ML Ops (Co-op)

  • We are seeking a motivated and curious Data Engineer - Agentic AI & ML Ops to join our Enterprise Data & Analytics team. This co-op provides hands-on experience supporting cloud-based data platforms, AI/ML operations, Generative AI, and Agentic AI solutions.
  • You will work with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, Python, PySpark, SQL, LLMs, and modern AI/ML frameworks in an Agile environment.
  • If you are passionate about data engineering, AI, and automation, we want to hear from you.

Key Responsibilities

  • Build Data & AI Pipelines: Develop and support ETL/ELT pipelines and AI/ML workflows.
  • Data Integration & Transformation: Ingest, transform, and orchestrate data using Python, PySpark, and SQL.
  • Develop Agentic AI Solutions: Build and test AI agents and intelligent workflows for automation and data access.
  • LLM & Prompt Engineering: Design and optimize prompts and workflows using LLMs and GenAI frameworks.
  • AI/ML Development & Automation: Build Python-based scripts, APIs, and notebooks on cloud platforms.
  • Support Analytics & AI/ML: Prepare datasets for reporting, ML models, forecasting, and advanced analytics.
  • Monitor & Support Operations: Troubleshoot pipeline failures, performance issues, and data quality gaps.
  • MLOps & CI/CD: Support deployment, testing, and automation for data and AI solutions.
  • Data Modeling & Semantic Layers: Assist with STTM, data modeling, and reporting datasets.
  • Agile Collaboration: Participate in sprint planning, stand-ups, and retrospectives.
  • Documentation & Automation: Create runbooks, workflows, and technical documentation.

Learning & Development Opportunities

  • Hands-on experience with Databricks, Snowflake, Azure, ADLS, ADF, and Power BI.
  • Exposure to MLOps, GenAI, Agentic AI, LLMs, CI/CD, and automation.
  • Experience working with AI agents, prompt engineering, and workflow orchestration.
  • Mentorship from Data, AI/ML, and Platform Engineers.
  • Experience in Agile/Scrum and DevOps/MLOps environments.

Qualifications

  • Pursuing a degree in Computer Science, Data Engineering, Data Science, AI/ML, or related field.
  • Knowledge of SQL, Python/PySpark, ETL/ELT, and APIs.
  • Familiarity with Databricks, Snowflake, Azure, ADLS, ADF, Power BI, or Git is a plus.
  • Exposure to LLMs, GenAI, Agentic AI, MLOps, or CI/CD is beneficial.
  • Experience with Python-based AI/ML projects or notebooks is a plus.
  • Strong analytical and problem-solving skills.
  • Strong communication and teamwork skills.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.