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Database Management Assistant Jobs in Pennsylvania

Senior Database Engineer (Hybrid)

Mechanicsburg, PA · On-site

$100K - $136K/yr

We are seeking a Senior Database Engineer is responsible for designing, managing, optimizing, and ... * Assist with capacity planning, scaling strategies, failover testing, disaster recovery exercises ...

Database Team Lead (Oracle RAC)

Mechanicsburg, PA · On-site

$48 - $65.50/hr

... management and SLAs Collaborates with SAN, server, applications and operational staff in support of database objectives Assist development staff with application design and efficient use of database ...

Database Team Lead (Oracle RAC)

Mechanicsburg, PA · On-site

$48 - $65.50/hr

... management and SLAs • Collaborates with SAN, server, applications and operational staff in support of database objectives • Assist development staff with application design and efficient use of ...

... Assist with donor research and maintain accurate and timely donor records. Support cultivation and stewardship activities and recognition efforts. • Gift Processing & Database Management ...

... Assist with donor research and maintain accurate and timely donor records. Support cultivation and stewardship activities and recognition efforts. Gift Processing & Database Management - Accurately ...

Showing results 41-60

Database Management Assistant information

What is the difference between Database Management Assistant vs Data Entry Clerk?

AspectDatabase Management AssistantData Entry Clerk
CredentialsHigh school diploma; some roles may require certifications in database softwareHigh school diploma or equivalent; basic computer skills
Work EnvironmentOffice settings; working with databases and management systemsOffice or remote; primarily entering data into systems
Employer & IndustryBusinesses, government agencies, IT firmsVarious industries including healthcare, retail, and finance
Search & Comparison IntentUnderstanding roles involving database management and supportLooking for data entry jobs or roles involving basic data input

The main difference is that a Database Management Assistant focuses on maintaining and supporting database systems, often requiring some technical knowledge, while a Data Entry Clerk primarily inputs data with minimal technical requirements. Both roles are essential in data handling but differ in complexity and responsibilities.

Is a database management assistant a good career option?

A database management assistant is a role that involves maintaining and organizing data using database software like SQL or Oracle. It offers opportunities for career growth in IT and data management fields, often requiring technical skills and certifications. The job typically involves regular working hours and can lead to advanced positions in database administration or data analysis.
What are the most commonly searched types of Database Management jobs in Pennsylvania? The most popular types of Database Management jobs in Pennsylvania are:
Infographic showing various Database Management Assistant job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Database Engineer (Hybrid)

Summit Technology Group

Mechanicsburg, PA • On-site

$100K - $136K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 20 days ago


Job description

Allocore powers the leading government loans, grants, and fraud prevention programs with a unified cloud-based platform built for efficiency and security. Our advanced solutions power the largest and most complex government loan and grant programs, streamlining workflows and integrating proven technologies to handle high-volume financial processes with speed and precision. Every day, we're enabling government agencies to deliver critical financial resources to those who need them most-quickly and efficiently. At Allocore, our culture is built on three core values-Urgency, Collaboration, and Commitment-which shape how we work, innovate, and support one another. Joining Allocore means being part of a mission-driven team that values innovation, collaboration, and a commitment to excellence. If you thrive in high-pressure environments where urgency meets creativity and where every challenge is an opportunity to create impact, then continue reading....
We are seeking a Senior Database Engineer is responsible for designing, managing, optimizing, and supporting enterprise database platforms and data services across Allocore's technology ecosystem. This role focuses on Aurora PostgreSQL, DocumentDB, Redshift, Databricks, ElastiCache, API troubleshooting, Query tuning, Database migrations, Automation, and New database feature implementation.
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 business-critical workloads. This role requires strong hands-on technical expertise, problem-solving ability, an ownership mindset, and the ability to support both operational needs and strategic modernization initiatives.
Key Responsibilities
  • Design, implement, administer, and support database platforms including Aurora PostgreSQL, Amazon DocumentDB, Amazon Redshift, Databricks, ElastiCache, Oracle, and MSSQL where applicable.
  • Knowledge of Internals of Aurora PostgreSQL and other AWS databases.
  • Ensure database environments are highly available, secure, scalable, and aligned with application and business requirements.
  • Perform database upgrades, patching, configuration management, backup validation, disaster recovery planning, and operational readiness reviews.
  • Support implementation of new database features, platform enhancements, and cloud-native database capabilities.
  • Review database architecture, schemas, indexes, stored procedures, functions, and configurations for performance, reliability, and maintainability.
  • Analyze and tune complex SQL queries, stored procedures, database workloads, and application access patterns.
  • Identify performance bottlenecks across databases, APIs, caching layers, and data pipelines.
  • Optimize Aurora PostgreSQL, Redshift, DocumentDB, Databricks, and ElastiCache workloads for cost, performance, and scalability.
  • Review execution plans, indexing strategies, table design, partitioning, vacuum/analyze processes, statistics, and query patterns.
  • Partner with application teams to troubleshoot API latency, timeout issues, connection pool behavior, and database-related performance incidents.
  • Work with AWS cloud services including Aurora PostgreSQL, DocumentDB, Redshift, ElastiCache, S3, IAM, CloudWatch, DMS, Lambda, and related platform components.
  • Support cloud database provisioning, monitoring, access management, environment configuration, and operational automation.
  • Collaborate with Cloud, DevOps, and Security teams to ensure database platforms follow IT security, availability, compliance, and operational standards.
  • Assist with capacity planning, scaling strategies, failover testing, disaster recovery exercises, and production readiness reviews.
  • Evaluate and recommend improvements for cloud database architecture and operational efficiency. Support data engineering workloads involving Redshift, Databricks, ETL pipelines, data movement, and analytics platforms.
  • Review and optimize data pipelines, batch processing jobs, file movement workflows, and transformation logic.
  • Collaborate with data engineering and reporting teams to improve data reliability, processing performance, and data availability.
  • Assist with troubleshooting data quality, data latency, load failures, and pipeline performance issues
  • Support data warehouse concepts, lakehouse patterns, ETL workflow management, and analytical workload optimization.
  • Review database migration plans, scripts, schema changes, data movement strategies, and rollback procedures.
  • Support migrations across database platforms, including legacy-to-cloud and cloud-to-cloud database transitions.
  • Validate migration readiness, performance impact, security controls, and post-migration stability.
  • Partner with application release teams to review database changes, deployment sequencing, and production implementation plans.
  • Support AWS DMS, custom scripts, ETL tools, and automation frameworks used for database migration and synchronization.
  • Develop and maintain automation for database administration, monitoring, deployment, reporting, and operational support.
  • Create scripts, tools, and repeatable processes to reduce manual effort and improve reliability.
  • Support automation use cases involving database health checks, maintenance tasks, alerting, performance analysis, and release validation.
  • Identify opportunities to standardize database processes, improve documentation, and enhance operational controls.
  • Contribute to continuous improvement initiatives across database engineering and platform operations.
  • Monitor database and application performance using tools such as Datadog, Sentry, CloudWatch, and other observability platforms.
  • Respond to production incidents involving database performance, API issues, connectivity, data processing failures, and service degradation.
  • Perform root cause analysis and document findings, remediation steps, and preventive actions.
  • Establish and maintain proactive monitoring, alerting, dashboards, and operational runbooks.
  • Collaborate with application, infrastructure, and support teams to resolve incidents in a timely and reliable manner.
  • Support AI and automation use cases related to database engineering, troubleshooting, query analysis, documentation, and operational efficiency.
  • Evaluate opportunities to use AI-assisted tools for performance diagnostics, code review, migration analysis, monitoring insights, and knowledge management.
  • Partner with technical teams to safely apply AI capabilities while following security, compliance, and confidentiality requirements.
  • Help identify repeatable use cases where AI can improve database operations, productivity, and decision-making.

Qualifications
  • U.S. citizenship is required. Must be eligible to obtain and maintain a Public Trust clearance.
  • Local to Mechanicsburg HQ and in the office 3 days a week is strongly preferred
  • Bachelor's degree in computer science, information systems, business, accounting, finance, or equivalent experience
  • Extensive experience managing databases, including Aurora PostgreSQL, Oracle, DocumentDB, MSSQL, and Redshift.
  • Expertise in performance troubleshooting, query optimization, and performance enhancement.
  • Strong knowledge of cloud platforms, specifically AWS, and associated database services.
  • AWS Solution Architect (Associate or Professional) and/or AWS Certified Data Engineer -certifications are mandatory.
  • Familiarity with monitoring and analytics tools like Datadog and Sentry.
  • Proven ability to lead, mentor, and develop high-performing technical teams.
  • Strong project management skills with a track record of cross-functional collaboration.
  • Exceptional problem-solving, decision-making, and communication skills.
  • Minimum 5 years of experience in database and data engineering
  • Hands-on experience in managing large-scale database environments and data pipelines.
  • Software development experience in team collaboration via GitHub or similar source code management and peer review processes
Why Allocore
  • Work on high-impact systems that support critical government programs
  • Be part of a growing company where you can shape both product and engineering culture
  • Collaborative, mission-driven team with startup energy
  • Opportunity to build and scale a platform from the ground up
Benefits:
  • Competitive salary and performance-based bonuses
  • Comprehensive health plans to choose from. FREE dental & FREE vision plans
  • Flexible work hours and hybrid work options
  • Unlimited PTO and company holidays
  • Collaborative and inclusive work environment with a diverse team
What to Expect:
Step 1 - Apply.
It only takes a few minutes!
Step 2 - HR Phone Screen. If your application is a good match, you'll hear from one of our recruiters about setting up a phone screen.
Step 3 - Interview(s). Now's your chance to learn about the job, show us who you are, share why you would be a great addition to the team, and determine if Lenders is the place for you.
Step 4: Decision. The team will discuss - if it's a good fit for us and you, we'll make it official!
Candidates selected for a conditional offer of employment will be subject to a background check. A criminal conviction does not automatically disqualify a candidate from consideration; results are evaluated in accordance with applicable laws and job relevance.
If you're ready to take your career to the next level and be part of a team that values creativity and innovation, apply now! We can't wait to meet you and see how you'll contribute to our success.
www.alllocore.com
Allocore is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate our employees' unique differences because that drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.
Texting Privacy Policy and Information:
  • Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling.
  • No mobile information will be shared with third parties/affiliates for marketing/promotional purposes.
  • Message frequency will vary depending on the application process.
  • Msg & data rates may apply.
  • OPT out at any time by texting "Stop".