Operations Jobs in Irving, TX
Operations jobs in Irving, Texas are concentrated in the Las Colinas urban center, the Freeport Parkway corridor, and the DFW Airport business zone, where logistics, financial services, and technology companies maintain large operational footprints. Employers actively hiring right now include Amazon, ASI FR, and DaBella. Find a role that fits below and apply directly.
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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
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Find Operations JobsOperations Job Market in Irving
Who's Hiring
- Amazon81
- ASI FR27
- DaBella27
- Caterpillar27
- Allied Universal27
Operations Jobs in Irving: Frequently Asked Questions
How do I get a operations job in Irving?
Irving's strongest hiring comes from logistics and supply chain firms anchored near DFW Airport, financial services companies based in Las Colinas, and corporate headquarters clustered along the 114 corridor. Candidates who stand out here typically show experience coordinating cross-functional teams, managing vendor relationships, or optimizing workflows in fast-moving environments. Familiarity with the distribution and corporate services sectors that define Irving's economy gives applicants a concrete edge.
Which companies hire operationss in Irving?
Companies currently hiring operationss in Irving include Amazon, ASI FR, and DaBella, per current listings on Migrate Mate as of September 2026. Irving attracts a mix of global headquarters, regional distribution hubs, and financial services firms, so employer types range from Fortune 500 corporations in Las Colinas to logistics operators near DFW Airport.
Are there remote operations jobs in Irving?
Yes, though availability depends heavily on the type of role. Desk-based and analytical operations positions such as process improvement, vendor management, and operations coordination tend to offer flexibility, while warehouse, facilities, and on-site logistics roles remain almost entirely in-person. About 40% of operations openings tied to Irving are remote or hybrid as of September 2026, with the highest share coming from corporate and financial services employers in Las Colinas.
How can I get a operations job in Irving with little or no experience?
The most realistic entry path in Irving is through operations coordinator or administrative operations roles at the corporate headquarters and regional offices concentrated in Las Colinas and along the 114 corridor. Many large employers there hire for entry-level scheduling, logistics support, and vendor coordination positions that build foundational skills. Candidates who demonstrate Excel proficiency, strong organizational habits, and comfort working across teams consistently move into these roles without prior operations titles.
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