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Database Automation Engineer Jobs in Prosper, TX

Photon

QA Engineer (Automation)- Dallas, TX

Dallas, TX · On-site

We are seeking a QA Automation Engineer who is ready to move beyond traditional "Pass/Fail" testing ... and database validation. * Statistical Mindset: Understanding that AI testing often requires ...

Kanak Elite Services Inc

Senior Database Engineer

Dallas, TX · On-site

$104K - $142K/yr

Senior Database Engineer/ Oracle PL/SQL Location: Houston, TX - 60% Onsite (Hybrid) Contract Length ... Scripting (Shell, Python, PowerShell) for automation. Exadata and Snowflake certification. Team ...

Verizon

Princ Engr-Ntwk Automation

Irving, TX · On-site

We are seeking a highly technical Principal Data Engineer to design and develop scalable data ... Develop and optimize SQL queries and data models across enterprise databases. * Create interactive ...

DTCC

Principal Database Engineer

Coppell, TX · On-site

Seeking an experienced Database Engineer with proven leadership in managing distributed teams ... Proficiency in scripting and automation (Shell, Python, Ansible, Terraform) * Solid understanding ...

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All JobsDatabase Automation Engineer JobsDatabase Automation Engineer Jobs in Prosper, TX

Database Automation Engineer information

See Prosper, TX salary details

$33.9K

$98.1K

$149.3K

How much do database automation engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for database automation engineer in Prosper, TX is $98,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $113,100.00 per year, depending on experience, location, and employer.

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

AspectDatabase Automation EngineerDatabase Administrator
Primary FocusDevelops automation scripts and tools to streamline database processesManages, maintains, and secures databases manually
Skills & CertificationsSQL, scripting, automation tools, certifications like Oracle or Microsoft SQL ServerDatabase management, backup, recovery, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentOften works in DevOps, software development, or IT automation teamsTypically in IT operations, data management teams

While both roles require strong SQL knowledge and certifications, the Database Automation Engineer focuses on creating automated solutions to improve database efficiency, whereas the Database Administrator handles the day-to-day management and security of databases. Understanding these differences helps organizations assign the right skills to optimize database performance and reliability.

What is a database automation engineer?

Database Automation Engineers are IT professionals who design, implement, and manage automated processes to streamline database operations. Their primary goal is to reduce manual intervention by leveraging scripting, tools, and technologies such as DevOps pipelines, configuration management, and monitoring solutions. They ensure databases are efficiently deployed, maintained, and monitored for performance and reliability, often collaborating with database administrators and development teams. This role requires a strong understanding of database systems, automation tools, and programming languages.

What are the key skills and qualifications needed to thrive as a database automation engineer?

To thrive as a Database Automation Engineer, you need expertise in database management, scripting languages (such as Python or PowerShell), and a solid understanding of automation processes, often supported by a degree in computer science or a related field. Familiarity with database platforms (like MySQL, SQL Server, or Oracle), automation tools (such as Ansible or Jenkins), and certifications like Microsoft Certified: Azure Database Administrator Associate are typically beneficial. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for ensuring efficient, reliable, and scalable database operations in complex, data-driven environments.

How does a database automation engineer typically collaborate with development and operations teams?

Database Automation Engineers work closely with both development and operations teams to streamline database deployment, management, and monitoring. They often design automated workflows for database provisioning, backups, and updates, ensuring that developers have reliable access to data while minimizing downtime. Collaboration includes participating in DevOps initiatives, supporting CI/CD pipelines, and troubleshooting performance issues alongside other team members. This cross-functional teamwork helps maintain database reliability and supports rapid delivery cycles.
What are popular job titles related to Database Automation Engineer jobs in Prosper, TX? For Database Automation Engineer jobs in Prosper, TX, the most frequently searched job titles are:
What job categories do people searching Database Automation Engineer jobs in Prosper, TX look for? The top searched job categories for Database Automation Engineer jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Database Automation Engineer jobs? Cities near Prosper, TX with the most Database Automation Engineer job openings:
Database Automation Engineer jobs near you
Infographic showing various Database Automation Engineer job openings in Prosper, TX as of June 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $98,105 per year, or $47.2 per hour.

QA Engineer (Automation)- Dallas, TX

Photon

Dallas, TX

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

We are seeking a QA Automation Engineer who is ready to move beyond traditional "Pass/Fail" testing. In this role, you will design and build automation frameworks specifically for Agentic AI products. You will focus on evaluating the performance of autonomous agents, ensuring they follow logical reasoning paths, call the correct tools, and provide accurate, safe outputs.

Your mission is to build the "evaluations" (Evals) that define what high-quality AI behavior looks like, moving the needle from unpredictable experiments to production-grade software.

Key Responsibilities

  • Non-Deterministic Testing: Develop automation strategies for probabilistic outputs, using model-based evaluation to "test the tester."
  • Building "Eval" Pipelines: Create and maintain "Golden Datasets" to benchmark agent performance across different versions of prompts and models.
  • Tool-Use Validation: Build automated tests to verify that agents call the correct functions/APIs with the right parameters in complex multi-step workflows.
  • Regression Testing for Prompts: Monitor how subtle changes in prompt engineering or model updates (e.g., moving from GPT-4 to Claude 3.5) affect the product's reliability.
  • Latency & Token Monitoring: Integrate performance testing into the CI/CD pipeline to track agent reasoning time and cost-efficiency.
  • Hallucination Detection: Develop automated checks to identify and report AI hallucinations, bias, or "jailbreak" attempts.
  • Collaboration: Work closely with AI Engineers to translate "vague" business requirements into measurable, automated test cases.

Required Skills & Qualifications

  • Experience: 10+ years in QA Automation, with a recent focus on AI/ML or LLM-based applications.
  • Python Proficiency: Expert-level Python skills (the industry standard for AI testing) and experience with testing frameworks like Pytest.
  • AI Testing Tools: Familiarity with AI evaluation frameworks such as LangSmith, DeepEval, RAGAS, or Promptfoo.
  • API & Backend Testing: Deep experience with Playwright, Selenium, or Cypress for UI, but a heavy focus on API-level testing and database validation.
  • Statistical Mindset: Understanding that AI testing often requires "scoring" (e.g., 85% accuracy) rather than a simple binary pass/fail.
  • Data Skills: Ability to work with SQL and JSON to validate data retrieved by agents during RAG (Retrieval-Augmented Generation) processes.

Preferred Qualifications

  • Experience testing Multi-Agent Systems (where one agent tests another).
  • Knowledge of Prompt Engineering and how it influences software behavior.
  • Background in Investment Banking or Fintech (if applicable) to understand high-stakes data accuracy.

Compensation, Benefits and Duration

Minimum Compensation: USD 38,000
Maximum Compensation: USD 133,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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