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Entry Level Data Visualization Engineer Jobs in Philadelphia, PA

Aramark

Data Engineer

Philadelphia, PA

$115K - $138K/yr

This role applies SQL, Python, modern data engineering practices, visualization tools, and AI-assisted development to improve data quality, automate workflows, and deliver scalable data and AI ...

Judge Group, Inc.

DATA ENGINEER

Conshohocken, PA · On-site

$112K - $135K/yr

Visualization and Guidance oProvide guidance on visualization tools, focusing on Power BI ... Bachelor's in computer science, data engineering, statistics, mathematics, or related fields. 5 ...

COMFORT SYSTEMS

Data Scientist I

Trenton, NJ · On-site

$61 - $123/hr

The role requires increasing technical expertise in the fields of computer programming, applied ... Data Visualization: Working knowledge of two or more data visualization tools and proficiency in ...

SEI

Data and Analytics Consultant

Philadelphia, PA

Data Visualization The ideal candidate's experience may include but is not limited to the following ... Must have experience in architecting and implementing data architecture, data engineering ...

Compunnel

Business Data Analyst

Blue Bell, PA · On-site

... visualization, and the ability to work effectively across technical and business teams. Key ... data engineers, developers, and business stakeholders to ensure data solutions align with ...

Mwe

Pricing Data Engineer

Wilmington, DE

$110K - $169K/yr

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... and data visualization/reporting tools preferred * Strong mathematical and analytical skills

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Entry Level Data Visualization Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do entry level data visualization engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for entry level data visualization engineer in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

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Entry Level Data Visualization Engineer jobs near you
Infographic showing various Entry Level Data Visualization Engineer job openings in Philadelphia, PA as of June 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

Data Visualization Senior Associate

JPMorgan Chase & Co.

Wilmington, DE • On-site

$90 - $130/hr

Other

Re-posted 26 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks

Job description

As a Data Visualization Senior Associate on the CCB Finance Data & Insights Auto Team, you will be part of an agile product team focused on developing, producing, and transforming financial data and reporting for the Auto product. Leveraging your analytical skills and passion for turning raw data into actionable insights, you will create impactful data visualizations and intelligence solutions that support key strategic initiatives across the organization.

You will assist in identifying and evaluating opportunities to streamline manual processes and implement automation tools such as Alteryx, Tableau, and/or ThoughtSpot to deliver efficient, automated solutions. Your responsibilities will include extracting, analyzing, and summarizing data for ad hoc stakeholder requests, as well as contributing to the ongoing modernization of our data environment, including migration to cloud platforms.

Job Responsibilities
  • Responsible for end-to-end preparation of intelligent solutions by development of dashboards using Tableau, Alteryx, ThoughtSpot and SQL. Your work will support analysis delivered to senior management and various stakeholders for the LOB.
  • Develop and enhance Alteryx workflows, collecting data from disparate data sources and summarizing the data as defined in requirements gathering with the stakeholders. Follow best practices to ensure that data is sourced from authoritative data sources.
  • Develop and enhance data visualizations utilizing Tableau/Thoughtspot to provide intuitive insights and help with decision support to our key stakeholders.
  • Conduct thorough validation of each component of the intelligence solution providing evidence that all data and visualizations are reporting accurate insights and evidence in the control process
  • Engage in testing and meetings for related server upgrades, data source changes, and other technology components that we source data from.
  • Leverage firm-supported AI and GenAI tools such as Copilot, LLM Suite, and other approved AI platforms to enhance productivity, accelerate analytics development, improve documentation quality, automate repetitive tasks, and support data-driven decision making.
  • Become a subject matter expert in these responsibilities and mentor team members in becoming more proficient themselves
Required qualifications, capabilities, and skills
  • Bachelor’s degree in MIS or Computer Science, Mathematics, Engineering, Statistics or other quantitative subjects, or Financial subjects
  • Minimum 3 years’ experience working with data analytics projects, preferably related to financial services domain.
  • Minimum 3 years’ experience developing advanced data visualization and presentations, preferably with Tableau.
  • Experience with business intelligence analytic and data wrangling tools such as Alteryx, Tableau Prep, or other data preparation tool.
  • Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses.
  • Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data.
  • Self-starter who can provide thought leadership and drive results in a dynamic and fast evolving environment.
Preferred qualifications, capabilities and skills
  • Experience with Spark SQL, Databricks, Snowflake or other big-data query tools
  • Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
  • Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data
  • Experience with other data wrangling tools such as SAS or Python.
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