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Database Internship Jobs (NOW HIRING)

FinQuery

Sr. Database Administrator

Atlanta, GA · On-site

$47.75 - $65.75/hr

A solid foundation in relational databases and data architecture built through professional work, school projects, internships, or personal exploration * Experience or strong academic exposure to ...

FinQuery

Sr. Database Administrator

Atlanta, GA · On-site

$47.75 - $65.75/hr

A solid foundation in relational databases and data architecture built through professional work, school projects, internships, or personal exploration * Experience or strong academic exposure to ...

FinQuery

Sr. Database Administrator

Atlanta, GA · On-site

$140 - $180/hr

A solid foundation in relational databases and data architecture built through professional work, school projects, internships, or personal exploration * Experience or strong academic exposure to ...

FinQuery, LLC

Sr. Database Administrator

Atlanta, GA · On-site

$120 - $170/hr

A solid foundation in relational databases and data architecture built through professional work, school projects, internships, or personal exploration * Experience or strong academic exposure to ...

FinQuery

Sr. Database Administrator

Atlanta, GA

$47.75 - $65.75/hr

A solid foundation in relational databases and data architecture built through professional work, school projects, internships, or personal exploration * Experience or strong academic exposure to ...

FinQuery, LLC

$120 - $170/hr

A solid foundation in relational databases and data architecture built through professional work, school projects, internships, or personal exploration * Experience or strong academic exposure to ...

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Database Internship information

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How much do database internship jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for database internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is a database internship?

Database internships are short-term work opportunities for students or recent graduates to gain hands-on experience in database management and related technologies. Interns typically assist with tasks such as data entry, database maintenance, writing queries, and supporting data migration projects under the supervision of experienced professionals. These internships help individuals develop practical skills in database systems like SQL, Oracle, or MongoDB, and can serve as a stepping stone to a full-time career in data management or database administration.

What types of projects or tasks can a database intern expect to work on during their internship?

As a Database Intern, you can expect to assist with a variety of hands-on tasks such as designing, updating, and maintaining databases, performing data cleansing, and supporting data migration efforts. You'll often collaborate with database administrators and developers, helping with performance tuning, writing queries, and generating reports. Interns typically gain exposure to tools like SQL, database management systems (DBMS), and sometimes cloud platforms, providing valuable, real-world experience that can lead to more advanced roles in database administration or data engineering.

What are the key skills and qualifications needed to thrive as a database intern, and why are they important?

To thrive as a Database Intern, you need foundational knowledge of database concepts, SQL, and data modeling, typically supported by coursework in computer science or information technology. Familiarity with tools like MySQL, PostgreSQL, Microsoft SQL Server, and experience using database management systems are often required. Attention to detail, problem-solving abilities, and effective communication are key soft skills that help interns contribute to team projects and learn quickly. These skills and qualities are crucial for ensuring data integrity, facilitating collaboration, and building a strong foundation for a career in database management.

What is the difference between Database Internship vs Data Analyst Internship?

AspectDatabase InternshipData Analyst Internship
Required SkillsSQL, database management, basic programmingData analysis, Excel, statistical tools
Work EnvironmentIT teams, database administrationBusiness teams, data interpretation
Industry UsageIT, software, tech companiesFinance, marketing, consulting
Common Search IntentDatabase management, SQL skillsData analysis, reporting

While both internships involve working with data, a Database Internship focuses on managing and maintaining databases using SQL and related tools, often within IT teams. In contrast, a Data Analyst Internship emphasizes analyzing data to generate insights for business decisions. Understanding these differences helps candidates choose the right path based on their skills and career goals.

What does a database internship do?

A database internship involves assisting with the management, organization, and maintenance of databases. Interns typically work with database management systems like SQL, perform data entry, run queries, and support data analysis tasks under supervision. It provides hands-on experience in data handling and technical skills relevant to database administration.
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Database Internship jobs near you
Infographic showing various Database Internship job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Sr. Database Administrator

FinQuery

Atlanta, GA • On-site

$47.75 - $65.75/hr

Full-time

Medical, Life, Retirement, PTO

Re-posted 9 days ago

Job description

FinQuery stands at the forefront of accounting automation, driven by a deep specialty in contract-driven accounting. Our AI-enabled platform transforms how controllers and finance teams operate, seamlessly managing and accounting for the complex financial contracts-like leases, prepaids, and accruals-that are the backbone of modern business. We are not just a software provider; we are the unified subledger that eliminates time-intensive, error-prone technical accounting workflows, ensuring financial reports are accurate and empowering our customers to focus on strategic, high-value tasks.
FinQuery is the global leader in lease accounting (as recognized on G2.com) and serve more than 8,500 customers worldwide. Our growth trajectory has been consistently validated by the Inc 5000, which has recognized us as one of the fastest-growing private companies for five consecutive years.
We're looking for an experienced Senior Database Administrator to join the team at FinQuery. You should be highly proficient with schema design, indexing, advanced query tuning, and database architecture. Beyond deep technical expertise, we are looking for a seasoned professional with strong mentorship and knowledge-sharing capabilities to elevate the entire engineering team. We also value leaders who integrate AI tools into their daily workflows to drive efficiency. Whether you built those habits through professional experience, technical leadership, or continuous self-study, we'd love to talk.
We run Agile with Kanban, and we believe in continuous improvement in our systems, our tools, and how we work together. In this role, you'll lead hands-on PostgreSQL administration on AWS, solve complex query performance challenges, guide data architecture strategy, and mentor junior and mid-level engineers. You'll collaborate closely with engineering leadership while leveraging AI-driven approaches to optimize workflows and scale infrastructure efficiently.
How You'll Make an Impact:
  • Help administer and monitor AWS PostgreSQL databases, picking up best practices for reliability and performance along the way
  • Lead performance optimization efforts, spot complex database bottlenecks, and implement advanced tuning solutions
  • Collaborate daily with development teams and other departments since communication is a big part of this job
  • Review and approve developer-driven data architecture changes, establishing guidelines and providing structured feedback
  • Dig into query performance problems and grow your skills in database optimization
  • Take part in release and deployment processes, getting real exposure to production workflows
  • Contribute to internal improvements like automating manual tasks, speeding up data delivery, and supporting infrastructure growth
  • Use AI agents, LLM-powered tools, and automation to handle routine work like query analysis, schema reviews, documentation, and troubleshooting more efficiently
  • Keep RDS systems running well day to day
  • Help assess and improve data schemas for efficiency by reviewing indices, spotting redundant columns, and evaluating table structures
  • Stay curious, research new technologies, propose AI-driven solutions, and bring ideas to make our systems and team more productive
  • Actively mentor junior and mid-level engineers, fostering technical growth, establishing best practices, and driving knowledge-sharing across teams

The Expertise You'll Bring:
  • A solid foundation in relational databases and data architecture built through professional work, school projects, internships, or personal exploration
  • Experience or strong academic exposure to designing, building, and scaling databases
  • Familiarity with SQL and a real interest in going deeper with PostgreSQL and cloud database services
  • Comfort using AI assistants, copilots, and LLM-powered tools as a core part of how you work, not a novelty you try occasionally
  • A team-first mindset where success is defined by what we accomplish together
  • A proactive, curious attitude and a genuine desire to keep learning

Preferred Qualifications
  • 7-8 years of professional experience as a Database Administrator or Database Engineer managing mission-critical databases
  • 7-8 years of experience working with enterprise databases and scalable data architectures
  • Hands-on experience with AWS RDS or Aurora
  • Demonstrated use of AI agents or LLM-powered tools to do technical work more efficiently
  • Demonstrated track record of technical mentorship, team leadership, and cross-functional knowledge sharing

Tech You'll Work With
  • Hosting & Administration: AWS RDS and Aurora
  • Database Systems: PostgreSQL and MS SQL Server
  • Languages: SQL, Python, and Shell Scripting
  • AI & Agentic Tools: LLM-powered assistants like Gemini, Claude, and GitHub Copilot, alongside AI-driven automation workflows
  • Data Warehouses & Integration: Snowflake, FiveTran, Celigo, and Boomi
  • Build & Deployment: GitHub Actions, Terraform, Liquibase, and Jenkins
  • Analytics & Logging: DataDog and Power BI
  • Communication: Atlassian Jira and Slack

Benefits
For Your Growth & Career:
Annual employee development program stipend of $2,000 for each employee
Mentorship program (available immediately)
Sabbatical program (4 weeks after 5 years of service)
Advancement opportunities based on results, not politics
For Your Financial Well-being:
401(k) plan with employer matching
Signing stipend for a work-from-home setup
For Your Health & Wellness:
Great health benefits with multiple plan option
Flexible PTO (including 11 holidays and your birthday off)
Free gym membership at our office (Atlanta HQ)
Casual dress environment (when in office)
Catered lunches every Tuesday & Thursday (when in office)
For Your Family & Life:
Parental Leave Benefits
Fertility/Adoption Assistance
Annual tutoring stipend for your children
FinQuery is an equal opportunity employer to all persons, free from restrictions and prejudice based upon race, color, creed, religion, sex, domestic relationship status, parental status, family status, sexual orientation, national origin, gender identity, age, and disability status. FinQuery maintains a drug-free workplace.

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