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Database Automation Engineer Jobs in Rosenberg, TX

Engineer

Houston, TX · On-site

$100K - $110K/yr

... databases, and web services. • Ensure fixes are retested and quality is maintained throughout the release cycle. 4. Team Leadership & Collaboration • Lead and mentor QA and automation teams ...

Develop standard templates for project input linked to database. * Works collaboratively with Directors of Automation Engineering, Automation Engineers, Engineering Specialists and Business Unit ...

Global Program Manager

Houston, TX · On-site

$90 - $130/hr

Develop standard templates for project input linked to database. * Works collaboratively with Directors of Automation Engineering, Automation Engineers, Engineering Specialists and Business Unit ...

Integration Engineer

Houston, TX

$38 - $39/hr

  • Medical

  • Dental

  • Vision

  • Retirement

The Integration Engineer is responsible for designing, building, testing, and supporting integrations between enterprise applications, databases, cloud platforms, automation tools, and business ...

System Design engineer

Houston, TX · On-site

$95K - $130K/yr

Knowledge of Rockwell Automation Logic Solvers (BPCS and/or Safety Systems) ControlLogix ... Database, Faceplates, Monitoring). Occasional travel and work at customer sites, including ...

Entry Level Engineer/Developer

Houston, TX · On-site

$80K - $82K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will design, implement, and configure automation systems, and/or write custom systems. We ... Architect solutions using the appropriate technologies from database to AI to User Interface tools.

Entry Level Engineer/Developer

Houston, TX · On-site

$80K - $82K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will design, implement, and configure automation systems, and/or write custom systems. We ... Architect solutions using the appropriate technologies from database to AI to User Interface tools.

Entry Level Engineer/Developer

Houston, TX · On-site

$80K - $82K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will design, implement, and configure automation systems, and/or write custom systems. We ... Architect solutions using the appropriate technologies from database to AI to User Interface tools.

Senior Industrial Software Engineer

Houston, TX · Hybrid

$117K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be ... Use Time-Series Databases and Data Visualization Tools * Develop Requirements from the ...

Devops Engineer

Houston, TX

$50.25 - $69/hr

... database driven automation release tasks Manage continuous build, test and deploy processes ... Communicate status frequently to product teams and engineering program managers. Document any new ...

Showing results 41-60

Database Automation Engineer information

See Rosenberg, TX salary details

$33K

$95.6K

$145.4K

How much do database automation engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for database automation engineer in Rosenberg, TX is $95,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,200.00 and $110,200.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Database Automation Engineer jobs in Rosenberg, TX?

For Database Automation Engineer jobs in Rosenberg, TX, the most frequently searched job titles are:

What cities near Rosenberg, TX are hiring for Database Automation Engineer jobs?

Cities near Rosenberg, TX with the most Database Automation Engineer job openings:

Senior Data Operations Engineer

Marathon Petroleum Company

Houston, TX • On-site

$101K - $137K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Marathon Petroleum rating

6.3

Company rating: 6.3 out of 10

Based on 203 frontline employees who took The Breakroom Quiz

68th of 87 rated oil and gas companies


Job description

An exciting career awaits you
At MPC, we're committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment.
Position Summary
Data, Analytics and AI is advancing Marathon Petroleum's data ecosystem through trusted, governed and reusable data products that enable faster decisions, operational excellence and AI-driven innovation. The Senior Data Operations Engineer is a senior technical leader responsible for the reliability, scalability, security and performance of MPC's enterprise data platforms. This role leads platform modernization, automation and operational excellence across Data Engineering, Platform Engineering, SRE, FinOps, Governance and Data Product Operations, with emphasis on cloud-native platforms including Databricks, Azure, Cognite, streaming technologies, observability solutions and enterprise integrations. The successful candidate will establish standards, improve reliability, optimize platform performance, mentor engineers and partner across Architecture, Engineering, Security, Governance and Business teams to deliver scalable, secure and high-performing data platform capabilities.
This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate's experience and qualifications.
Key Responsibilities
  • Leads platform scalability and performance tuning initiatives.
  • Mentors less experienced team members in best operational practices.
  • Collaborates with architects to design resilient and robust platforms.
  • Drives the resolution of critical platform issues.
  • Engages with vendors and partners for platform solutions and enhancements.
  • Implements robust monitoring and alerting mechanisms.
  • Participates in strategic planning for platform growth and evolution.
  • Drives the adoption of new technologies and tools for platform operations.
  • Ensures compliance with industry regulations related to data storage and operations.
  • Engages with stakeholders to understand and cater to their platform needs.
  • Platform Engineering, Reliability & Automation
    • Standardize reusable infrastructure patterns with IaC, CI/CD, and DevOps practices.
    • Create self-service provisioning and deployment workflows to improve consistency and reduce manual effort.
    • Establish reusable engineering standards, templates, and operating frameworks.
    • Strengthen observability through telemetry standards, runbooks, incident response, and root cause analysis.
    • Define readiness criteria and improvement practices for production platform services.
  • Cloud & Data Platform Management
    • Operate enterprise platforms across Databricks, Azure Lakehouse, streaming, integration, observability, and Cognite.
    • Translate architecture standards into operating patterns for scalable analytics and AI workloads.
  • Security, Performance & Governance
    • Embed security, resiliency, compliance, and governance controls into platform operations.
    • Analyze capacity, utilization, workload, and cost drivers with Cybersecurity and FinOps partners.
    • Define and manage KPIs, SLAs, SLOs, and platform health metrics.
  • Technical Leadership
    • Provide senior technical direction for operations, standards adoption, and engineering execution.
    • Facilitate reviews and technical decisions for complex platform scenarios.
    • Advance maturity by codifying lessons learned and promoting consistent practices across Data Engineering and Platforms teams.

Education and Experience
  • Bachelor's Degree in Information Technology, related field or equivalent experience required.
  • Five (5) or more years of relevant experience required.
  • Senior-level experience in data engineering, platform engineering, cloud engineering, or platform operations preferred.
  • Experience supporting enterprise-scale cloud data platforms.
  • Experience operating mission-critical analytics and data platforms.
  • Demonstrated success leading platform modernization and automation initiatives.
  • Experience supporting production environments with high availability requirements.

Skills
  • Data Classification - Knowledge of the process of formally grouping Configuration Items by type, e.g. software, hardware, documentation, environment, application. Knowledge of the process of formally identifying Changes by type, e.g. project scope change request, corrective change request, innovative function change request, technical infrastructure change request. And, knowledge of the process of formally identifying Incidents, Problems and Known Errors by origin, symptoms and cause.
  • Data Cleansing - Data scrubbing, also called data cleansing, is the process of amending or removing data in a database that is incorrect, incomplete, improperly formatted, or duplicated.
  • Data Ethics - Knowledge of ethical considerations related to data usage, data-driven technologies and strategies to mitigate biases in data-driven decision-making.
  • Data Governance - Ability to establish and oversee a set of procedures, policies, and standards that ensure the effective and efficient management of an organization's data assets. This includes ensuring data quality, compliance with relevant laws and regulations, and secure data handling practices. It also involves the coordination between different departments to ensure that data is accurate, accessible, and used responsibly and ethically.
  • Data Governance Communication - Data governance communication involves the effective dissemination of policies, guidelines, and best practices related to the management and use of data within an organization. It aims to ensure clear understanding, compliance, and collaboration among stakeholders, fostering a culture of responsible and consistent data practices.
  • Data Governance Framework - Proficiency in implementing and managing data governance frameworks, policies, and standards to ensure data quality, integrity, and compliance.
  • Data Governance Tools - Familiarity with data governance tools and technologies that facilitate data management, metadata management, and data governance workflows.
  • Data Privacy - Ability to understand and implement practices that ensure the protection and confidential handling of personal and sensitive information. This includes knowledge of relevant laws and regulations (such as GDPR or HIPAA), the ability to design and enforce policies that safeguard data, and the skills to manage data access rights and consent protocols.
  • Data Quality Management - Strong understanding of data quality dimensions, methodologies, and best practices to establish and maintain data quality standards and processes.
  • Data Stewardship - Proficiency in data stewardship practices, including data classification, metadata management, data lineage, and data lifecycle management.
  • Identity Access Management (IAM) - Identity and access management (IAM) is a framework of business processes, policies and technologies that facilitates the management of electronic or digital identities, ensuring that the right users have the appropriate access to technology resources.
  • Master Data Management (MDM) - Master Data Management (MDM) is a method of managing and organizing an organization's critical data to ensure consistency, accuracy, and coherence across various systems. It involves establishing a single, authoritative source for key data entities, such as customer information, product details, and other essential business data.

MINIMUM QUALIFICATIONS:
Bachelor's Degree in Information Technology, related field or equivalent experience.
5+ years of relevant experience
As an energy industry leader, our career opportunities fuel personal and professional growth.
Location:
Houston, Texas
Additional locations:
Findlay, Ohio, San Antonio, Texas
Job Requisition ID:
00023152
Location Address:
500 Dallas St Ste 2900
Education:
Bachelors: Information Technology
Employee Group:
Full time
Employee Subgroup:
Regular
Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here.
If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at hired candidate will also be eligible for a discretionary company-sponsored annual bonus program.
Equal Opportunity Employer: Veteran / Disability
We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.

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About Marathon Petroleum

Sourced by ZipRecruiter

Marathon Petroleum Corporation, headquartered in Findlay, Ohio, US, is a leading independent petroleum refining, marketing, and transportation company. Their official website can be found at marathonpetroleum.com. The company, part of the energy sector, was established in 1887, making it one of the oldest petroleum companies in the US. It operates an integrated refining, marketing and transportation system concentrated primarily in the Midwest, Northeast, East Coast, Southeast and Gulf Coast of the United States. This includes refineries, pipelines, and terminals that process and transport crude oil and refined products.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Findlay, OH, US

Year founded

1887