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Database Engineer Jobs in Pennsylvania (NOW HIRING)

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

Optimize data storage and query performance by leveraging columnar data structures and databases ... Bring your VIBE: * 5-8 years of experience in data engineering or related roles. * Strong ...

ServiceNow CMDB Developer

Philadelphia, PA · On-site

$54.50 - $75/hr

ServiceNow CMDB Developer Location: Philadelphia, PA Duration: Contract : The Senior ServiceNow Developer will be responsible for creating, building, and deploying custom solutions within the ...

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Senior Platform Data Engineer

Danville, PA · On-site +1

$121K - $164K/yr

The Senior Platform Data Engineer owns roadmap, priorities, platform standards, and architecture ... Administers the vector database: schema design, indexing, metadata management, access controls, and ...

DataBase Administration Enters codes to create production data base. Selects and enters codes of ... Directs programmers and analysts to make changes to data base management system. Reviews and ...

Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of Database Administration experience. * Experience with Relational Database Management ...

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Senior BI Engineer, Data

Lititz, PA · On-site +1

$98K - $133K/yr

As a Senior BI Engineer , you will architect and own the next generation of our enterprise data ... databases, cloud storage, flat files, and SharePoint. * Build and maintain Fabric Pipelines to ...

Oracle Database Administrator

Norristown, PA

$48.50 - $65.75/hr

JPC is looking for an Oracle Database Administrator that will be on a new team focused on engineering in IBM AIX UNIX, Oracle Exadata and RedHat Linux environments. Responsibilities * Day to day ...

You'll collaborate with engineers, data scientists, product managers, and other stakeholders to ... databases, and distributed processing technologies. * Experience operating production machine ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... and database management skills to optimize data solutions - Leveraging Apache Airflow and Apache ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... and database management skills to optimize data solutions - Leveraging Apache Airflow and Apache ...

Net (Web and Mobile) Application Developer Role: Teradata DBA Location: Pittsburgh, PA Duration: 6 months Contract-To-Hire ESSENTIAL RESPONSIBILITIES: * Create, develop, and review the physical model ...

Showing results 41-60

Database Engineer information

See Pennsylvania salary details

$60.6K

$122.4K

$167.9K

How much do database engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for database engineer in Pennsylvania is $122,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $140,300.00 per year, depending on experience, location, and employer.

What is a database engineer?

As a database engineer, you work to develop and maintain data solutions and information systems for a company in any industry that requires processing and storage of large amounts of information, including healthcare providers or financial service firms. Because you often deal with sensitive data, you must be familiar with appropriate data protection and encryption processes, as well as relevant regulatory frameworks like HIPAA.

What does a database engineer do?

A Database Engineer is responsible for designing, implementing, and maintaining databases that store and organize data for organizations. They ensure that databases are reliable, secure, and optimized for performance. Their duties often include developing database architecture, writing scripts to automate tasks, troubleshooting issues, and collaborating with other IT professionals. Database Engineers play a key role in managing large volumes of data and supporting business operations through data integrity and availability.

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

To thrive as a Database Engineer, you need expertise in database design, management, and optimization, often supported by a degree in computer science or a related field. Proficiency with database platforms like MySQL, PostgreSQL, Oracle, or SQL Server, as well as experience with tools such as SQL, ETL processes, and relevant certifications (e.g., Microsoft Certified: Azure Database Administrator Associate) are typical requirements. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with developers and stakeholders. These skills are crucial for ensuring data integrity, system performance, and supporting business operations through reliable data management.

What are some common challenges faced by database engineers when working with large-scale databases?

Database Engineers working with large-scale databases often encounter challenges such as optimizing query performance, ensuring data consistency across distributed systems, and managing database scalability as data volumes grow. They also need to implement robust backup and recovery solutions to minimize downtime in case of failures. Collaborating closely with application developers and system administrators is essential to address these challenges and maintain database reliability and security.

Are database engineers in demand?

Database engineers are in high demand due to the increasing reliance on data management and storage across industries. They often require skills in SQL, database design, and familiarity with tools like Oracle or MySQL, and job growth is expected to remain strong as organizations continue to prioritize data-driven decision making.

What is the difference between Database Engineer vs Database Administrator?

AspectDatabase EngineerDatabase Administrator
Primary RoleDesigns, develops, and implements database systems and solutionsMaintains, monitors, and manages existing databases for performance and security
Skills & CertificationsSQL, database design, scripting, certifications like Microsoft Certified: Azure Database Administrator AssociateSQL, backup and recovery, security, certifications like Oracle Certified Professional
Work EnvironmentOften involved in development teams, working on new database solutionsTypically in operations teams, ensuring database stability and performance
Employer & Industry UsageTech companies, finance, healthcare, where database design is neededOrganizations requiring ongoing database management and support

While both roles work with databases, Database Engineers focus on designing and building new database systems, whereas Database Administrators manage and maintain existing databases to ensure optimal performance and security.

What are the most commonly searched types of Database Engineer jobs in Pennsylvania? The most popular types of Database Engineer jobs in Pennsylvania are:
What are popular job titles related to Database Engineer jobs in Pennsylvania? For Database Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Database Engineer jobs in Pennsylvania look for? The top searched job categories for Database Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Database Engineer jobs? Cities in Pennsylvania with the most Database Engineer job openings:
What are popular job titles related to Database Engineer jobs in PA? For Database Engineer jobs in PA, the most frequently searched job titles are:
Infographic showing various Database Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,405 per year, or $58.8 per hour.

Senior Data Engineer

Universal Music Group

Philadelphia, PA • On-site

$107K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Universal Music Group rating

8.4

Company rating: 8.4 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

13th of 76 rated media


Job description

We are UMG, the Universal Music Group. We are the world's leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.
How we LEAD:
We are seeking an experienced and driven Senior Data Engineer - Enterprise Data Products within the Global Data & Analytics team.
You are passionate about building scalable, reliable, and AI-ready data platforms that power enterprise decision-making and advanced analytics. You understand that modern data platforms must not only support reporting, but also enable machine learning, generative AI, and intelligent applications through high-quality, well-governed, and semantically consistent data.
In this role, you will lead teams of data engineers responsible for building and operating domain-specific data products, semantic layers, and data marts that serve as trusted, AI-ready sources of truth across the organization, with a strong emphasis on ecommerce data products and Shopify data pipelines.
You will play a key role in shaping how data is structured, governed, and exposed to support AI/ML use cases, feature engineering, and semantic consistency across tools and applications.
How you'll CREATE:
  • Design and build scalable data pipelines and data products that support analytics and AI/ML use cases.
  • Build and scale ecommerce data products and pipelines, with particular focus on Shopify data such as orders, customers, products, transactions, fulfillment, and marketing events.
  • Develop and maintain AI-ready datasets, ensuring high quality, consistency, and usability for downstream applications.
  • Work with data scientists and analysts to support feature engineering, model training data, and experimentation needs.
  • Contribute to building and maintaining semantic layers that standardize business definitions and enable consistent reporting and analysis.
  • Implement data validation, testing, and monitoring to ensure data quality and reliability.
  • Build and optimize data models (dimensional, curated layers) aligned with business requirements.
  • Optimize data storage and query performance by leveraging columnar data structures and databases where applicable.
  • Support batch and real-time data pipelines using modern data stack tools.
  • Follow best practices for code quality, version control, and CI/CD in data engineering workflows.
  • Collaborate with product, analytics, and governance teams to ensure data is well-documented, discoverable, and trusted.
  • Troubleshoot and resolve data issues, ensuring minimal disruption to downstream users.

Bring your VIBE:
  • 5-8 years of experience in data engineering or related roles.
  • Strong experience building data pipelines, data models, and data platforms.
  • Experience working with Shopify data is strongly preferred, including Shopify orders/customers/products/fulfillment schemas
  • Proven experience handling ecommerce data at scale, including orders, carts, customers, product/catalog, inventory, fulfillment, payments, refunds/returns, promotions/discounts, subscriptions, web/app clickstream, and marketing attribution.
  • Preferred: experience handling Shopify data and ecommerce datasets, including ingesting, modeling, validating, and reconciling commerce data across platforms.
  • Familiarity with AI/ML data requirements, including preparing datasets for model training and analytics.
  • Hands-on experience working with or contributing to semantic layers (e.g., dbt, LookML, etc.).
  • Solid understanding of data warehousing, dimensional modeling, and modern data architectures.
  • Experience with cloud platforms (AWS, Azure, or GCP) and tools like Spark, Snowflake, Databricks, or similar.
  • Strong SQL skills and proficiency in Python or similar language.
  • Experience working with columnar databases or columnar storage formats (e.g., BigQuery, Redshift, Snowflake, Parquet) and optimizing query performance.
  • Experience implementing data quality checks and monitoring.
  • Ability to work cross-functionally and translate requirements into technical solutions.
  • Preferred candidate location: Philadelphia, PA (Philly).

Perks Playlist:
Join an entrepreneurial, global organization where authenticity, boldness, creativity, connection, drive, and insight aren't just values-they're how we work every day. Here are some of the ways we support you along the way (and just a few of the benefits we offer):
  • Comprehensive medical, dental, and vision coverage
  • Including 100% coverage for out-patient in-network mental health services
  • Fertility coverage for eligible medical plan participants
  • Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)
  • Student Loan Repayment Assistance and Tuition Reimbursement
  • 401(k) with 100% immediate vesting on the first 5% of your contributions, plus an additional UMG contribution

A variety of ways to prioritize much-needed time away from work including:
  • Flexible Paid Time Off (PTO) for exempt employees
  • 3-weeks PTO for non-exempt employees
  • 2-weeks paid Winter Break
  • 10 Company Holidays (including Juneteenth and Wellbeing Day)
  • Summer Fridays (between Memorial Day and Labor Day)
  • Generous paid parental leave for every type of parent

Check out our full overview of benefits on the Perks Playlist page of the career site.
Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.
Universal Music Group is an Equal Opportunity Employer
We are an E-Verify employer in Alabama, Arizona, Georgia, Mississippi, North Carolina, South Carolina, Tennessee, and Utah.
Please note, UMG is not enrolled in E-Verify in California and New York, and cannot support employment of candidates whose employer must enroll in E-Verify, for example candidates on STEM-OPT.
For more information, please click on the following links.
E-Verify Participation Poster: English / Spanish
E-Verify Right to Work Poster: English | Spanish
Job Category:
Data, Analytics & Business Intelligence
Salary Range:
$68,100 - $153,000
The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply.

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