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Database Engineer Jobs in Pennsylvania (NOW HIRING)

InterSources Inc

Cloud Database Engineer

Malvern, PA · On-site

The Cloud Database Engineer will be a member of the Cloud Database Service Team, requiring a mix of development and infrastructure skills to support the company's technology-driven client experiences.

Allocore

Senior Database Engineer (Hybrid)

Mechanicsburg, PA · On-site

$100K - $136K/yr

The Senior Database Engineer will work closely with application, cloud, data engineering, DevOps, and release teams to ensure database platforms are reliable, scalable, secure, and optimized for ...

BNY

Vice President, Database Engineer

Pittsburgh, PA · On-site

74971 - Vice President, Database Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the ...

Soni Resources

Database Platform Engineer

Blue Bell, PA · On-site

$130K/yr

Database Platform Engineer We are seeking an Database Platform Engineer to manage and support enterprise database environments across on-premises and Azure platforms. This role is responsible for ...

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All JobsDatabase Engineer JobsDatabase Engineer Jobs in Pennsylvania

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 29, 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.

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.

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, MySQL, or PostgreSQL, making their expertise valuable in many organizations. The role is expected to grow as data-driven decision-making becomes more critical.
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Database Engineer jobs near you
Infographic showing various Database Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $122,405 per year, or $58.8 per hour.

Systems & Database Engineer

System Soft Technologies

Bala Cynwyd, PA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Systems & Database Engineer (MariaDB)
Direct Hire
100% onsite - Philadelphia
US or Green Card
Our Production Services Team is looking for a skilled engineer with a strong foundation in database technologies and systems engineering - not a traditional DBA, but someone who understands how databases fit into broader system architecture and can collaborate across disciplines to drive performance, reliability, and scalability.
This role is part of a front office support team, focused on application database engineering for trading platforms and directly supporting traders in a high-performance, low-latency environment.
Key Responsibilities
  • Design, deploy, and maintain relational and non-relational database systems at scale (hundreds of millions to billions of records, TB-scale datasets), including MariaDB, MongoDB, InfluxDB, and ClickHouse.
  • Optimize query performance through advanced indexing strategies, execution plan analysis, and schema design.
  • Develop Python tooling and automation to support database operations, maintenance workflows, and system health.
  • Ensure high availability and reliability through replication, failover design, and disaster recovery planning.
  • perate confidently in production environments - diagnosing and resolving time-sensitive issues with composure and precision.
  • Manage and scale containerized database workloads using Kubernetes, including ClickHouse deployments.
  • Monitor system health using observability tooling and proactively address performance degradation.
  • Collaborate with developers, researchers, and platform engineers to support data-intensive applications.
  • Apply AI tooling and best practices to accelerate engineering workflows.

What we're looking for Core Requirements
  • Bachelor's degree in Computer Science, Information Systems, or a related field - or equivalent practical experience.
  • 1-5 years of experience in database engineering, systems engineering, or a related discipline.
  • Strong proficiency in SQL and deep working knowledge of relational databases - complex query manipulation, indexing, partitioning, replication, and high availability.
  • Solid Python development skills - able to write production-quality scripts and tooling, not just one-off automation.
  • Good understanding of Kubernetes - deploying, managing, and debugging containerized workloads.
  • Strong Linux fundamentals - shell scripting, process management, system monitoring, and core command-line fluency.
  • Comfort operating in a production environment - you handle pressure well and take ownership of reliability.
  • Working knowledge of AI tools and best practices for engineering workflows.

Nice to Have
  • Graph database experience (e.g., Neo4j or similar).
  • Oracle database experience.
  • ProxySQL configuration and routing experience.
  • Infrastructure-as-code experience with Terraform.
  • Familiarity with Prometheus and Grafana for observability and alerting.
  • Prior experience in a production or trading environment.

Apply