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Database Engineer Jobs in Downingtown, PA (NOW HIRING)

Job Title: SQL Database Developer Location: Paoli (King of Prussia), PA Duration: Long-term Contract Type: W2 Contract Skills Required: Person should have experience writing SQL and procedural ...

SQL Database Developer Location: Paoli (King of Prussia), PA Duration: Long-term Contract Type: W2 Contract Skills Required: Person should have experience writing SQL and procedural language for data ...

Sr. Data Engineer

Wayne, PA · On-site

$96K - $130K/yr

Requirement - Sr. Data Engineer Location- * 1041 West Valley Road Wayne, Pennsylvania 19087 * 7900 ... Database architecture * Data warehousing * Historical data retention strategies * Cloud-based data ...

Sr. Data Engineer

Wilmington, DE · On-site

$102K - $139K/yr

Our client is seeking an experienced Senior Data Engineer to join their growing data team. This is ... Strong experience with Relational Databases (RDBMS) Preferred Qualifications (Nice to Have)

ServiceNow Platform Engineer for CMDB

Wayne, PA · On-site

$49 - $67.25/hr

Design, engineer, configure, and support CMDB functionality within an increasingly complex ServiceNow platform landscape. * Build CMDB solutions aligned with ServiceNow best practices, performance ...

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 ...

Oracle DBA

Audubon, PA · On-site

$60 - $77/hr

NET Developers that use Oracle database Participate in Agile SCRUM meetings Requirements Experience administering On-prem Oracle databases running on UNIX (IBM AIX or RedHat Linux). Experience with ...

Senior BigData Engineer

Wilmington, DE

$102K - $139K/yr

Senior BigData Engineer Location: Wilmington, DE Duration: Multi-Year Contract * Will join a ... Relational SQL, Snowflake andNoSQL databases, including Postgres and Cassandra. * Data pipeline and ...

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Database Engineer information

See Downingtown, PA salary details

$62.7K

$126.6K

$173.7K

How much do database engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for database engineer in Downingtown, PA is $126,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $145,200.00 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 job categories do people searching Database Engineer jobs in Downingtown, PA look for? The top searched job categories for Database Engineer jobs in Downingtown, PA are:
What cities near Downingtown, PA are hiring for Database Engineer jobs? Cities near Downingtown, PA with the most Database Engineer job openings:
Infographic showing various Database Engineer job openings in Downingtown, PA as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $126,618 per year, or $60.9 per hour.

Platform Engineering Consultant - Cloud and Database Services

Ametek

Berwyn, PA • On-site

Full-time

Re-posted yesterday


AMETEK rating

7.5

Company rating: 7.5 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

89th of 157 rated electronics manufacturers


Job description

The Platform Engineering Consultant - Cloud and Database Services designs, builds, and operates cloud data infrastructure as a product-delivering secure, reliable, and scalable database services through automation and self-service. This role blends cloud engineering (Infrastructure-as-Code, networking, observability, and reliability engineering) with hands-on DBA responsibilities to ensure cloud workloads and database platforms meet performance, availability, security, and compliance requirements. The engineer partners with infrastructure, application, data, and security teams to standardize patterns, reduce operational toil, and enable teams to ship changes safely across development, test, and production environments.
Key technologies: Azure (primary) and AWS cloud platforms, Azure SQL (SQL Database/Managed Instance), SQL Server, Oracle, MongoDB
How you will make an impact:
Cloud Platform & Database Service Operations
  • Own the cloud platform lifecycle in Azure and database lifecycle in hybrid environments (provisioning, configuration, upgrades, patching, and decommissioning) with supporting capabilities in AWS.
  • Design, deploy, and operate Azure-based cloud infrastructure aligned with established architectures and governance standards. Own production workloads and services, implement Infrastructure as Code and automation, optimize performance and cost, and serve as an escalation point for complex operational issues.
  • Build and maintain cloud-based data pipelines supporting ingestion, transformation, and delivery of data for analytics and operational use cases. Optimize pipelines for reliability and performance, and collaborate with application and analytics teams to meet data requirements.
  • Perform and coordinate core DBA operations: maintenance windows, patching/updates, configuration management, and scheduling/ownership of operational jobs (e.g., SQL Server Agent or equivalent tooling).
  • Administer cloud and database platform access controls (users/roles, least privilege), assist with audits, and implement standardized onboarding/offboarding processes.
  • Implement observability for database services (metrics, logs, traces, alerting) using tools such as Azure Monitor/Log Analytics and AWS CloudWatch; proactively manage health, capacity, and performance.
  • Contribute to financial initiatives for cloud and database platforms. Plan and manage storage, compute, and licensing/cost consumption; optimize for performance and cloud spend using Azure Cost Management (and AWS cost tools as needed), tagging, and chargeback/showback practices.

Performance Engineering & Scalability
  • Tune managed and self-hosted databases (query plans, indexing, partitioning, configuration) to meet latency and throughput targets.
  • Execute and automate database maintenance practices (index/statistics maintenance, integrity checks, housekeeping) and establish performance baselines.
  • Diagnose and remediate bottlenecks across the stack (application, network, storage, compute) using data-driven analysis and load testing.
  • Plan and execute database upgrades and migrations (cloud adoption, version upgrades, cross-environment refreshes) with minimal downtime and clear rollback strategies.
  • Design scalable patterns for OLTP and analytics workloads, including read replicas, caching, and right-sized tiers.

Resiliency, Backup & Disaster Recovery
  • Implement automated backup, restore, and point-in-time recovery strategies aligned to RPO/RTO objectives.
  • Own restore execution for incidents and user requests (PITR, logical restores, and cross-environment restores) and continuously improve restore speed and reliability.
  • Regularly test restores and disaster recovery runbooks; perform game days and document outcomes.
  • Engineer multi-region and cross-zone resiliency patterns where required, balancing availability, consistency, and cost.

Security, Governance & Compliance
  • Own cloud and database platform security posture: identity/access (e.g., Azure AD/RBAC), network controls, secrets management (e.g., Azure Key Vault), and least-privilege role design.
  • Implement and operate governance controls such as auditing, data classification, retention, and masking/tokenization as required for sensitive data.
  • Partner with security to manage vulnerability remediation, configuration baselines, and continuous compliance reporting (e.g., Microsoft Defender for Cloud), across Azure and AWS.
  • Ensure vendor licensing, data retention, and governance requirements are met across managed and self-hosted database services.

Platform Enablement & Engineering Standards
  • Define and maintain reference architectures, standards, and guardrails for database services and data infrastructure.
  • Build self-service provisioning workflows and templates using Infrastructure-as-Code (e.g., Bicep/ARM, Terraform) for database services and supporting infrastructure where appropriate.
  • Partner with application and data engineering teams on schema changes, migration strategies, and reliable release patterns.
  • Review schema/query changes for operational readiness (indexing strategy, partitioning, resource usage) and advise teams on best practices.

Automation, Infrastructure-as-Code & CI/CD
  • Automate provisioning, patching, backups, scaling, and routine maintenance (including DBA runbooks such as index/statistics maintenance and access grants) using scripts, IaC, and workflow orchestration (Azure-first, with AWS where applicable).
  • Continuously improve platform reliability and developer experience by reducing manual effort, standardizing patterns, and measuring operational toil.

Collaboration, Support & Incident Response
  • Serve as the escalation point for cloud and database platform incidents; lead triage, root cause analysis, and corrective actions.
  • Partner with infrastructure, application, data, and security teams to deliver integrated solutions.
  • Contribute to standards, documentation, and runbooks, mentor junior engineers, and provide technical input into platform improvements and roadmap discussions.

What you will bring to the role:
Required Skills & Experience
Technical Skills
  • Proven experience in cloud/platform engineering, SRE, or database/data infrastructure engineering roles.
    Strong understanding of database platform fundamentals (availability, consistency, replication, backups, security, and performance).
  • Experience operating managed database services in cloud environments-especially Azure SQL Database/Managed Instance-with supporting experience in AWS (e.g., RDS/Aurora) including networking, IAM, monitoring, and cost management.
  • Strong SQL skills (e.g., T-SQL) and familiarity with Oracle (PL/SQL) and MongoDB query patterns; experience supporting safe change management (migrations, versioning, and deployment strategies).
  • Strong operational discipline: monitoring/alerting, incident response, postmortems, and continuous improvement.
    Experience provisioning infrastructure using Infrastructure-as-Code and automation (e.g., Terraform, Bicep/ARM; CloudFormation as needed).
  • Working knowledge of database-specific HA/DR tooling (e.g., SQL Server Always On, Oracle Data Guard/RMAN concepts) and cloud-native equivalents.
  • Knowledge of cloud and database security best practices (IAM, network segmentation, encryption, secrets management).
  • Experience with cloud networking patterns for data services (e.g., VNets/VPCs, private endpoints/Private Link, firewall rules, DNS) and connectivity to on-premises environments.
  • Experience with containerization and orchestration (Docker, Kubernetes) and supporting stateful workloads where appropriate.
  • Experience with automation and DevOps practices (CI/CD, GitOps, testing, and release orchestration).

Analytical & Professional Skills
  • Excellent attention to detail and commitment to data integrity.
  • Strong problem-solving and critical-thinking skills.
  • Ability to multitask and manage priorities in a dynamic environment.
  • Effective communication skills, with the ability to simplify complex concepts.
  • Collaborative mindset and ability to work across multiple IT disciplines.

Education & Certifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • At least 5 years in a similar role, preferably in a high-tech manufacturing environment.
  • Relevant certifications are desirable, such as:
    • Azure certifications (e.g., Azure Administrator, Azure Solutions Architect, Azure DevOps Engineer)
    • AWS certifications (e.g., AWS Solutions Architect) a plus
    • Database certifications (e.g., Microsoft/Azure Database certifications, Oracle OCP, MongoDB certifications) a plus
    • DevOps/SRE certifications (e.g., Kubernetes CKA/CKAD, HashiCorp Terraform Associate) a plus

Preferred / Nice-to-Have Qualifications
  • Strong scripting and automation skills (e.g., Python, PowerShell, Bash) and configuration management (e.g., Ansible).
  • Experience with platform engineering practices: self-service, golden paths, service catalogs, and internal developer platforms.
  • Experience with data infrastructure components beyond databases (e.g., messaging/streaming, caching, data integration) is a plus.

Compensation
Employee Type: Salaried
Currency: USD
Salary Minimum: 120,000
Salary Maximum: 140,000
Incentive: No
Disclaimer: Where a specific pay range is noted, it is a good faith estimate at the time of this posting. The actual salary offered will be based on experience, skills, qualifications, market / business considerations, and geographic location.
For more information on AMETEK's competitive benefits, please click here.
AMETEK, Inc. is a leading global provider of industrial technology solutions serving a diverse set of attractive niche markets with annual sales over $7.5 billion.
AMETEK is committed to making a safer, sustainable, and more productive world a reality. We use differentiated technology solutions to solve our customers' most complex challenges. We employ 22,000 colleagues, in 35 countries, that are grounded by our core values: Ethics and Integrity, Respect for the Individual, Inclusion, Teamwork, and Social Responsibility. AMETEK is a component of the S&P 500. Visit https://www.ametek.com/careers for more information.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Individuals who need a reasonable accommodation because of a disability for any part of the employment process should call 1 (866) 263-8359.

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