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Data Warehouse Developer Jobs in Philadelphia, PA

Kendall Group

Data and Analytics Developer

Conshohocken, PA · On-site

$48.50 - $66.50/hr

Document new and existing data warehouse projects and resources. * Other duties as assigned ... SQL Server SSMS; understanding of CRUD operations; proficiency in programming languages such as ...

Kanak Elite Services Inc

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

... data warehouse like redshift for analysts and reporting while leveraging the AWS services like Glue, Lambda, S3, Redshift. * This role requires skillset of cloud computing, DevOps using Github ...

RIT Solutions, Inc.

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Preferred : • Data Engineer • Data Analysis • Data Warehouse Company : Jobdiva Job Portal: Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered ...

RIT Solutions, Inc.

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Preferred : • Data Engineer • Data Analysis, Data Warehouse Company : Jobdiva Job Portal: Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in ...

Pwc

Data Engineer - Manager

Philadelphia, PA · On-site

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

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All JobsData Warehouse Developer JobsData Warehouse Developer Jobs in Philadelphia, PA

Data Warehouse Developer information

See Philadelphia, PA salary details

$13

$54

$73

How much do data warehouse developer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data warehouse developer in Philadelphia, PA is $54.83, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data warehouse developer?

To thrive as a Data Warehouse Developer, you need expertise in data modeling, ETL processes, SQL, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools (such as Informatica, Talend, or SSIS), OLAP systems, and cloud data platforms is highly valuable, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this role. These skills are crucial for designing efficient data solutions, ensuring data integrity, and enabling business intelligence for informed decision-making.

What are some common challenges data warehouse developers face when integrating data from multiple sources?

Data Warehouse Developers often encounter challenges with data consistency, varying data formats, and incomplete or poor-quality data when integrating information from multiple sources. Resolving these issues typically involves designing robust ETL (Extract, Transform, Load) processes, implementing data cleansing routines, and collaborating closely with data owners and business analysts to understand data lineage and requirements. Adapting to frequent changes in source systems and ensuring the warehouse remains scalable and performant can also be demanding, but they provide valuable opportunities to develop problem-solving skills and deepen technical expertise.

What is a data warehouse developer?

A data warehouse developer designs and implements data warehouses, which are meant to store large amounts of data for easy retrieval by a business or organization. In this role, your duties are to develop storage architecture, design big data models, and create ways to input transactions, such as sales, receipts, customer data, and user downloads. Working with other developers, you ensure that the warehouse can both receive customer and client data and return it as output to analysts who can make recommendations based on their interpretation.

What is the difference between Data Warehouse Developer vs Data Analyst?

AspectData Warehouse DeveloperData Analyst
CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDesigning, developing, and maintaining data warehouses; working with ETL tools and database systemsAnalyzing data sets, creating reports, and providing insights using BI tools
Industry UsageUsed across industries for data storage and managementUsed across industries for data analysis and reporting

The main difference is that Data Warehouse Developers focus on building and maintaining data storage systems, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills and often overlap in data handling tasks, but their core responsibilities differ.

Is data warehouse a good career?

A career as a Data Warehouse Developer is in demand due to the increasing need for data management and analytics in organizations. It typically requires skills in SQL, ETL processes, and tools like Snowflake or Redshift, with opportunities for growth in data engineering and business intelligence roles.
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Data Warehouse Developer jobs near you
Infographic showing various Data Warehouse Developer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $114,050 per year, or $54.8 per hour.

Data and Analytics Developer

Kendall Group

Conshohocken, PA • On-site

$48.50 - $66.50/hr

Full-time

Re-posted 28 days ago

Job description

About The Kendall Group

The Kendall Group is comprised of eight divisions with 75+ locations in ten states. Combined, we serve the Electrical, Automation, Pipe, Valve, and Fitting products, Steam, Lighting, Industrial Controls, and Instrumentation Industries. The Kendall Group is a 100% employee-owned company. Kendall offers a great opportunity for a rewarding career.

Why The Kendall Group?

Our employee ownership model is the core of who we are. You will not only own part of the company, but you will own your future. At Kendall, you'll have opportunities to learn and grow while being coached and mentored along the way. We're that company where people stay! We're proud to say more than 60% of our associates have more than 5 years of tenure, and more than 40% have greater than 10 years. At Kendall, you will be valued and supported, your ideas will be heard, your voice will matter, and you'll work alongside incredible people who care about your success.

Role Summary: Reporting to the Manager of Data and Analytics, the Data and Analytics Developer is a key member of the Data and Analytics team. The person in this role will support end-users and assist in developing SQL solutions designed to integrate on-premise and web hosted environments to provide analytics/reporting for the organization. This role will also require research and testing of new technologies to expand the company technology stack and help create a connected enterprise.

Exciting work you will do:

The essential duties and responsibilities of the Data and Analytics Developer will consist of, but are not limited to, the following:

  • Develop a good working relationship with a wide range of stakeholders to support the design and implementation of new solutions that leverage SQL Server objects.
  • Collaborate with peers and work on multiple projects in an agile environment.
  • Independently research improvements, including but not limited to new technologies and methodologies, to improve existing architecture and expand technical capabilities.
  • Provide front-end support to internal customers for reporting data and access issues.
  • Assist in making modifications and enhancements to existing applications, reports, dashboards, and database objects to improve overall function and performance.
  • Assist and provide support to enterprise architecture design and roadmap.
  • Communicate with internal customers to adjust and validate report data.
  • Develop and maintain data pipelines and processes to extract, transform, and load data from multiple sources into the data warehouse.
  • Participate in QA testing procedures to ensure database integrity.
  • Document new and existing data warehouse projects and resources.
  • Other duties as assigned.

Competencies you possess:

  • Problem Solving
  • Teamwork and Collaboration
  • Service Excellence
  • Displaying Technical Expertise
  • Creativity
  • Accountability and Responsibility
  • Results, Action Oriented

What you'll need:

  • Work Experience: Experience with Microsoft SQL Server 2016 or later.
  • Education: Bachelor's degree in computer science (or related field) or equivalent experience.
  • Analytics/Computer Skills: Microsoft Office proficiency (particularly Excel); Visual Studio; SQL Server SSMS; understanding of CRUD operations; proficiency in programming languages such as Python, Java, or Scala; proficiency in data visualization tools such as Tableau, Power BI, or similar.
  • Cross-functional skills: Ability to work collaboratively across the organization; flexible with changing demands and priorities.
  • Organization Skills: Very detail oriented, organized, and effective in team environments with mixed skill sets.
  • Communication Skills: Strong verbal and written communication skills; ability to explain technical information to non-technical staff.
  • Physical, Mental and Visual Skills: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disability to perform the essential functions.
    • Ability to see, talk, and hear
    • Ability to sit for 8 hours a day
  • Physical Environment: Normal office environment.
  • Travel: Must be willing to work occasional weekends or off hours and travel if necessary.

Skills we prefer but don't require:

  • Experience:
    • Machine learning methods
    • Experience with Microsoft SQL 2019
    • Microsoft Azure migration and maintenance
    • Integration with CRM, PIM, ERP, Google Analytics, Active Directory, Microsoft Graph API, custom Web API development
    • Epicor Eclipse ERP knowledge
    • NoSQL non-relational database experience
    • PowerShell
    • SSAS Tabular and Multidimensional model experience
    • SSRS reporting
    • Experience with Windows and Linux systems
    • Database administration experience

The Kendall Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, physical or mental disability, citizenship, military status, protected veteran status, genetic information, or any other characteristic protected under applicable federal, state, or local law.

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