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Data Visualization Engineer Jobs in Philadelphia, PA

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

Judge Group, Inc.

Data Analyst

Bridgeport, PA · On-site

$70K - $85K/yr

... visualization initiatives. The ideal candidate will have strong expertise in Power BI and SQL ... Experience with version control tools (e.g., Azure DevOps Git) * Exposure to data governance ...

Winaxis

Lead II - Data Analysis

Philadelphia, PA · On-site

... data visualization using Tableau (mandatory) or Power BI (optional); able to create clear ... engineering, product, etc.). - Bachelor's or Master's degree in a related field (Data Science ...

Redolent, Inc.

US_East | Data Engineer_L3

Philadelphia, PA · On-site

$115K - $138K/yr

You will work closely with data engineers, product teams, and business stakeholders to build ... BI) tools and data visualization. • Retail industry experience, specifically Production of ...

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All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in Philadelphia, PA

Data Visualization Engineer information

See Philadelphia, PA salary details

$42.5K

$124K

$169.6K

How much do data visualization engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data visualization engineer in Philadelphia, PA is $123,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $131,400.00 per year, depending on experience, location, and employer.

What is a data visualization engineer?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by data visualization engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

What are the key skills and qualifications needed to thrive as a data visualization engineer, and why are they important?

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

What are the most commonly searched types of Data Visualization Engineer jobs in Philadelphia, PA?

The most popular types of Data Visualization Engineer jobs in Philadelphia, PA are:

What are popular job titles related to Data Visualization Engineer jobs in Philadelphia, PA?

For Data Visualization Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Visualization Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Data Visualization Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Data Visualization Engineer jobs?

Cities near Philadelphia, PA with the most Data Visualization Engineer job openings:

Data Visualization Engineer jobs near you
Infographic showing various Data Visualization Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,973 per year, or $59.6 per hour.

ETL Data Engineer (Python & Snowflake)

HL002 Hamilton Lane Advisors, LLC

Erwinna, PA • On-site

$90 - $120/hr

Other

Medical, Retirement, PTO

Posted 2 days ago

New

Job description

Join Hamilton Lane, a global leader in private markets, as we scale to meet the demands of our growing client base. Here, you’ll work with ambitious, high‑performing teams built on integrity, candor and collaboration, backed by our market‑leading data and technology. We invest heavily in our people and our partners, giving you the platform to enrich lives, safeguard futures and grow your career.

About the Role

We are seeking a talented ETL Data Engineer with strong experience in Python and Azure Synapse Analytics to join our dynamic team. You will play a critical role in our expanding data engineering team. You will be responsible for designing, developing, and maintaining ETL data integration processes primarily using Python (PySpark), Azure Synapse Analytics Pipelines, and other Azure Synapse Analytics resources, ensuring the accuracy and availability of data for our analytical needs.

Responsibilities
  • Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines.
  • Apply expertise in data warehousing, designing and building effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool.
  • Extract data from various sources, including REST APIs, SWL database tables, and CSV files.
  • Design and optimize Azure Synapse Analytics notebooks/pipelines for scalability and performance.
  • Implement Data Fabric concepts such as data lakes, lakehouses, delta lakes, and data cataloging.
  • Collaborate with data architects to create data models and schemas aligned with business requirements.
  • Implement data quality checks and validation processes to maintain accuracy and consistency.
  • Identify and resolve performance bottlenecks, optimizing ETL notebooks/pipelines to meet SLAs.
  • Monitor ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability.
  • Maintain comprehensive documentation of ETL processes, data flows, and transformations.
  • Work closely with cross‑functional teams to understand data requirements and support data‑related initiatives.
  • Ensure data security and compliance with governance and privacy standards.
Qualifications
  • Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). Azure Data Engineer certification is a plus.
  • Proven experience in ETL data engineering using Python (PySpark) for REST APIs, SQL database tables, and CSV files.
  • Proficiency in Azure Synapse Analytics resources (Notebooks, Pipelines, Linked Services, Azure Key Vault).
  • Strong SQL skills, including complex query writing, optimization, and experience with SparkSQL and MS SQL.
  • Experience with version control systems such as Git (Azure DevOps).
  • Strong problem‑solving and analytical skills with attention to detail.
  • Excellent verbal and written communication skills.
  • Familiarity with big data technologies, machine learning, data analysis, and data visualization tools (Power BI, Tableau) is preferred.
  • Experience with Agile methodologies is a plus.
Benefits
  • Healthcare coverage, mental health resources, health & fitness reimbursement, and Wellness Rewards Program.
  • Tuition and certification reimbursement programmes, ongoing education and development trains for you to grow with Hamilton Lane.
  • Paid volunteer time and candidate referral compensation.
  • Adoption reimbursement, paid time off for new parents and newlyweds, and nursing parent travel support.
  • Retirement program contributions and employee stock purchasing plan.

Hamilton Lane is an affirmative action‑equal opportunity employer. All qualified applicants will be considered for employment without regard to their race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other classification prohibited by applicable law.

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