Operations Engineer Jobs in Texas
Operations Engineer jobs in Texas are among the most active in the country, concentrated in energy, petrochemical, semiconductor manufacturing, aerospace, and large-scale logistics, with openings at every level from entry-level process technician to senior principal engineer. Houston, Dallas-Fort Worth, and Austin account for the bulk of demand, where employers like ExxonMobil, Texas Instruments, and Lockheed Martin maintain major operations and hire operations engineers on a rolling basis. The most in-demand specialties in Texas right now are process operations, manufacturing systems, and reliability engineering. Find a role that fits below and apply directly.
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Showing 5 of 158+ Operations Engineer jobs
DESCRIPTION
As a Data Engineer in WW Ops S&A, you will design, implement and support scalable data infrastructure solutions and implement complex data models for Amazon Customer Fulfillment business. You will create solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, GenAI models and ad-hoc data requests. You should have excellent business and communication skills to be able to work with business owners, Finance and Product teams along with tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be responsible for developing and operating a data service platform using Python, Airflow, and SQL to build various ETL, analytics, and data quality components. You'll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more. Strong experience in Data Warehouse and Business Intelligence application development, expert knowledge in SQL query optimization, and experience with programming languages such as Scala/Python are essential for this role.
Key job responsibilities
- Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda)
- Develop high-quality data architecture and scalable pipelines to support customer reporting needs, while implementing and supporting analytics infrastructure for internal Finance customers
- Interface with technology teams to extract, transform, and load data from various sources, ensuring data quality and making appropriate trade-offs in design decisions
- Collaborate with business users, developers, and BI Engineers to deliver on data architecture projects and next-generation financial solutions
- Actively participate in code reviews, design discussions, and team planning, while continually improving reporting processes and automating self-service support
- Identify and implement process improvements to drive innovation, scale existing solutions, and create new ones based on stakeholder needs
- Diagnose and resolve operational issues through detailed root cause analysis, maintaining high standards of system availability and reliability
About the team
The Operations finance data ecosystem supports global data management solutions inclusive of the scaling solutions to support 10+ data producer teams and 2500 finance customers. The role will work with BIE/DE teams across the organization, identifying critical customer pain points and help design , implement and drive customer's data journey. In the age of AI capabilities, the role will identify newer mechanisms to help incorporate AI driven workflows both for our builder and customer communities.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Knowledge of distributed systems as it pertains to data storage and computing
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience building large-scale, high-throughput, 24x7 data systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Irving - 132,100.00 - 178,800.00 USD annually
USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually
DESCRIPTION
As a Data Engineer in WW Ops S&A, you will design, implement and support scalable data infrastructure solutions and implement complex data models for Amazon Customer Fulfillment business. You will create solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, GenAI models and ad-hoc data requests. You should have excellent business and communication skills to be able to work with business owners, Finance and Product teams along with tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be responsible for developing and operating a data service platform using Python, Airflow, and SQL to build various ETL, analytics, and data quality components. You'll automate deployments using AWS CodeDeploy, AWS CodePipeline, AWS Cloud Development Kit (CDK), and AWS Cloud Formation. You will work with AWS services like Redshift, Glue, S3, IAM, CloudWatch, and more. Strong experience in Data Warehouse and Business Intelligence application development, expert knowledge in SQL query optimization, and experience with programming languages such as Scala/Python are essential for this role.
Key job responsibilities
- Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda)
- Develop high-quality data architecture and scalable pipelines to support customer reporting needs, while implementing and supporting analytics infrastructure for internal Finance customers
- Interface with technology teams to extract, transform, and load data from various sources, ensuring data quality and making appropriate trade-offs in design decisions
- Collaborate with business users, developers, and BI Engineers to deliver on data architecture projects and next-generation financial solutions
- Actively participate in code reviews, design discussions, and team planning, while continually improving reporting processes and automating self-service support
- Identify and implement process improvements to drive innovation, scale existing solutions, and create new ones based on stakeholder needs
- Diagnose and resolve operational issues through detailed root cause analysis, maintaining high standards of system availability and reliability
About the team
The Operations finance data ecosystem supports global data management solutions inclusive of the scaling solutions to support 10+ data producer teams and 2500 finance customers. The role will work with BIE/DE teams across the organization, identifying critical customer pain points and help design , implement and drive customer's data journey. In the age of AI capabilities, the role will identify newer mechanisms to help incorporate AI driven workflows both for our builder and customer communities.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Knowledge of distributed systems as it pertains to data storage and computing
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience building large-scale, high-throughput, 24x7 data systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Irving - 132,100.00 - 178,800.00 USD annually
USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually
See All 158+ Operations Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Operations Engineer JobsOperations Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Operations Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- SpaceX19
- Lockheed Martin12
- Amazon10
- Dallas County9
- Barrios Technology4
Top Industries Hiring
- Technology & Software
- Energy
- Retail
- Aerospace & Defense
- E-Commerce & Online Marketplaces
What Texas Employers Look For
The qualifications that appear most often in operations engineer jobs across Texas.
- Bachelor's degree in industrial, mechanical, or chemical engineering from an accredited program
- Professional Engineer license issued or recognized by the Texas Board of Professional Engineers and Land Surveyors preferred for senior roles
- Hands-on experience with process control systems, SCADA, or distributed control systems
- Familiarity with Texas energy sector safety standards including PSM and OSHA Process Safety Management regulations
- Proficiency in lean manufacturing, Six Sigma, or continuous improvement methodologies
- Strong ability to interpret engineering drawings, P&IDs, and equipment specifications
Operations Engineer Jobs in Texas: Frequently Asked Questions
How do you become a operations engineer in Texas?
Most operations engineer roles in Texas require a bachelor's degree in industrial, mechanical, chemical, or a related engineering discipline. Senior and licensed positions may require a Professional Engineer license through the Texas Board of Professional Engineers and Land Surveyors, which involves passing the Fundamentals of Engineering and Principles and Practice of Engineering exams. Many Texas employers in energy and manufacturing also prioritize candidates who have completed relevant internships or co-op programs at Texas-based facilities.
Which companies hire operations engineers in Texas?
Employers hiring operations engineers in Texas right now include SpaceX, Lockheed Martin, and Amazon, based on current listings on Migrate Mate as of September 2026. Texas's concentration of energy, aerospace, and semiconductor firms means demand for operations engineers is distributed across both large corporate headquarters and regional plant facilities throughout the state.
Which Texas cities have the most operations engineer jobs?
Houston, Austin, and Dallas have the most operations engineer openings in Texas. Houston dominates due to its dense cluster of petrochemical refineries and energy company headquarters, while Dallas-Fort Worth draws demand from aerospace, defense, and large-scale manufacturing, and Austin's growing semiconductor and technology manufacturing base accounts for a rising share of postings.
Are there remote operations engineer jobs in Texas?
Yes, but they're rare. Operations engineering is largely hands-on work tied to physical facilities, equipment, and production floors, which limits remote options significantly. About 53% of operations engineer openings tied to Texas are remote or hybrid as of September 2026, and those positions tend to involve system monitoring, data analysis, or project coordination rather than direct plant or field work.
How can I get hired as a operations engineer in Texas with little or no experience?
The most realistic entry path is applying to operations technician or junior process engineer roles at Texas refineries, manufacturing plants, or semiconductor fabrication facilities, which regularly hire candidates straight out of accredited engineering programs. Large Texas employers like Dow and Valero run structured new-graduate rotational programs that move candidates through multiple operations functions. Completing the Fundamentals of Engineering exam early and building hands-on exposure through co-ops or internships at Texas industrial sites gives candidates a clear competitive edge.
Where can I find and apply to operations engineer jobs in Texas?
You can find and apply to operations engineer jobs in Texas on Migrate Mate, which lists current Texas openings from employers across the state's energy, manufacturing, aerospace, and technology sectors. Find roles that fit your experience and location and apply directly to the employer through each listing.
See All 158+ Operations Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Operations Engineer Jobs