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Senior Database Engineer Jobs in Exton, PA (NOW HIRING)

Accord Technologies Inc.

Senior AI Engineer

Philadelphia, PA · On-site

$123K - $163K/yr

Senior AI Engineer (Insurance domain and Data Background) Philadelphia, PA (Hybrid Day 1 onsite ... Develop and maintain graph databases (GraphDB, Neo4j, Stardog) in production or advanced PoC setups.

New

MSD

Senior Statistical Programmer

North Wales, PA

The senior statistical programmer will gather and interpret user requirements for programming ... Clinical Database Programming, Clinical Trials, Collaborative Development, Data Modeling ...

Nuuly

Nuuly Senior Software Engineer

Philadelphia, PA · On-site

$112K - $148K/yr

... database technologies. You'll also need a reasonable amount of aptitude in designing and ... As a Senior Engineer, you'll bring experience that extends beyond personal code contribution ...

Nuuly

Nuuly Senior Software Engineer

Philadelphia, PA

$112K - $148K/yr

... database technologies. You'll also need a reasonable amount of aptitude in designing and ... As a Senior Engineer, you'll bring experience that extends beyond personal code contribution ...

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All JobsDatabase Engineer JobsSenior Database Engineer JobsSenior Database Engineer Jobs in Exton, PA

Senior Database Engineer information

See Exton, PA salary details

$78.2K

$121.9K

$168.9K

How much do senior database engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior database engineer in Exton, PA is $121,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $139,000.00 per year, depending on experience, location, and employer.

What are some common challenges senior database engineers face when managing large-scale databases, and how are they typically addressed?

Senior Database Engineers often encounter challenges such as ensuring database performance under heavy loads, maintaining data integrity during migrations, and optimizing queries for efficiency. Addressing these issues usually involves proactive monitoring, implementing indexing strategies, and collaborating closely with development teams to design scalable database schemas. Regularly updating skills to keep up with new database technologies and security best practices is also essential for tackling these challenges effectively.

What is the difference between Senior Database Engineer vs Database Administrator?

AspectSenior Database EngineerDatabase Administrator
Primary FocusDesigning, developing, and optimizing database systemsMaintaining, backing up, and securing databases
Skills & CertificationsSQL, database architecture, performance tuning, certifications like Oracle or Microsoft SQL ServerDatabase management, backup/recovery, security, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentDevelopment teams, data engineering projects, system designOperational teams, system maintenance, troubleshooting
Industry UsageUsed across tech, finance, healthcare for database developmentCommon in enterprise IT, government, and large organizations for database upkeep

While both roles work closely with databases, a Senior Database Engineer primarily focuses on designing and optimizing database systems, whereas a Database Administrator handles daily maintenance, security, and backups. The roles complement each other but differ in scope and responsibilities.

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

A Senior Database Engineer needs advanced knowledge of database architecture, SQL, performance tuning, and a degree in computer science or a related field. Expertise in tools like Oracle, MySQL, PostgreSQL, database clustering, and relevant certifications such as Microsoft Certified: Azure Database Administrator Associate are typical requirements. Strong problem-solving, analytical thinking, and effective communication skills help them excel in managing complex data environments and collaborating with development teams. These capabilities are crucial for ensuring robust, scalable, and secure data solutions that meet organizational needs.

What is a senior database engineer?

A Senior Database Engineer is an experienced IT professional responsible for designing, implementing, maintaining, and optimizing database systems within an organization. They ensure databases are secure, reliable, and perform efficiently to meet business needs. Senior Database Engineers often lead projects, mentor junior staff, and collaborate with developers and system administrators to support data-driven applications. Their expertise is crucial for data integrity, scalability, and disaster recovery planning.
What are popular job titles related to Senior Database Engineer jobs in Exton, PA? For Senior Database Engineer jobs in Exton, PA, the most frequently searched job titles are:
What cities near Exton, PA are hiring for Senior Database Engineer jobs? Cities near Exton, PA with the most Senior Database Engineer job openings:
Senior Database Engineer jobs near you
Infographic showing various Senior Database Engineer job openings in Exton, PA as of June 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $121,925 per year, or $58.6 per hour.

Senior AI Engineer

Accord Technologies Inc.

Philadelphia, PA • On-site

$123K - $163K/yr

Contractor

Posted 2 days ago

New

Job description

Job Description: Senior AI Engineer (Insurance domain and Data Background)
Philadelphia, PA (Hybrid Day 1 onsite)
Position type: W2 contract
 

Role: 
The Senior Data & AI Engineer owns the full technical stack, including connectors, ingestion framework, OneLake Medallion staging, GraphDB triple store, Vector Index, Agentic RAG orchestrator, LLM gateway, guardrails, and the consumption UI with conversational chat, SPARQL trace explainability, and graph explorer.

Responsibilities:

  • Develop and maintain graph databases (GraphDB, Neo4j, Stardog) in production or advanced PoC setups.
  • Load, validate, and query ontologies within triple store environments.
  • Collaborate with Data Consultants on ontology modeling using tools like Protégé or Metaphactory.
  • Build and optimize RAG pipelines with agentic orchestration.
  • Work with vector databases for embedding and retrieval tasks.
  • Integrate LLM APIs (e.g., Anthropic Claude, OpenAI GPT, Azure OpenAI) with prompt engineering, guardrails, and citation mechanisms.
  • Develop NL-to-SPARQL or NL-to-SQL generation solutions, employing few-shot prompting and schema grounding.
  • Implement AI safety measures including prompt injection defenses, output sandboxing, and confidence scoring.
  • Operate within an 8-week delivery cycle with weekly milestones.
  • Collaborate closely with data modeling and ontologist teams.
  • Leverage experience in financial services or insurance data environments where possible.

 Required Skills:

  • 3+ years of hands-on experience with graph databases and semantic web standards.
  • Proficiency in ontology authoring tools.
  • Proven experience with RAG pipelines and agentic orchestration. 
  • Expertise in vector databases and LLM API integration.
  • Knowledge of NL-to-SPARQL/NL-to-SQL conversion techniques.
  • Strong understanding of AI safety protocols.
  • Project management skills suitable for rapid development cycles.
  • Excellent collaboration and communication skills.