Data Engineer Jobs in Plano, TX
Data Engineer jobs in Plano, Texas concentrate in the Legacy Business Park, Granite Park, and the Shops at Legacy corridor, where financial services, healthcare IT, and enterprise technology companies run active data teams. Employers hiring right now include JPMorganChase, NTT DATA, and Capital One. Find a role that fits below and apply directly.
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As a Lead Data Engineer at JPMorgan Chase within the Commercial & Investment Bank - Production Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Maintains and supports Db2 database applications
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
- Experienced with mainframe environment and use of TSO / ISPF / JCL
- Develop rapport with application development teams for collaboration
- Expertise with troubleshooting / diagnosing mainframe db2 related issues
- Maintains review of controls to ensure sufficient protection of enterprise data
- Implements database back-up, recovery, and archiving strategy
- DDL Deployment , environment data refreshes, regular health checks
- Maintains highest levels of stability, integrity, reliability, and availability
- Experience with SQL and databases utilities including connectivity
- Adds to team culture of team work , collaboration, and partnership
- Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations.
Required qualifications, capabilities, and skills
- Formal training or certification on Data Engineering concepts and 5+ years applied experience
- Working knowledge of relational databases (RDBMS) and SQL operations
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted outputs (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements.
- Working knowledge of JES2 and JCL, including RACF / ACF2 Security and CA7 / ZEKE
- Experience with performance analysis to optimize SQL workloads
- Knowledge of SYSPlex mainframe configuration including Data Sharing
- Knowledge of the data lifecycle and data management functions
- Working knowledge of mainframe data system components
- Strong understanding of data modeling fundamentals (e.g., primary and foreign keys, constraints, indexing, etc.)
- Ability to work in large, collaborative teams to achieve organizational goals, with a passion to build an innovative culture
- Knowledge of industry-wide technology trends and best practices
Preferred qualifications, capabilities, and skills
- Understanding of general Mainframe Utilities, Database Utilities and Stored Procedures
- Familiar with mainframe environment and the use of TSO / ISPF
- Understanding of Distributed and Static SQL workloads
- Understanding of plex mainframe configuration including Data Sharing & Stand-In
- Familiar with IDAA (Data Analytics Accelerators)
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
As a Lead Data Engineer at JPMorgan Chase within the Commercial & Investment Bank - Production Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Maintains and supports Db2 database applications
- Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and model design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
- Experienced with mainframe environment and use of TSO / ISPF / JCL
- Develop rapport with application development teams for collaboration
- Expertise with troubleshooting / diagnosing mainframe db2 related issues
- Maintains review of controls to ensure sufficient protection of enterprise data
- Implements database back-up, recovery, and archiving strategy
- DDL Deployment , environment data refreshes, regular health checks
- Maintains highest levels of stability, integrity, reliability, and availability
- Experience with SQL and databases utilities including connectivity
- Adds to team culture of team work , collaboration, and partnership
- Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations.
Required qualifications, capabilities, and skills
- Formal training or certification on Data Engineering concepts and 5+ years applied experience
- Working knowledge of relational databases (RDBMS) and SQL operations
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted outputs (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements.
- Working knowledge of JES2 and JCL, including RACF / ACF2 Security and CA7 / ZEKE
- Experience with performance analysis to optimize SQL workloads
- Knowledge of SYSPlex mainframe configuration including Data Sharing
- Knowledge of the data lifecycle and data management functions
- Working knowledge of mainframe data system components
- Strong understanding of data modeling fundamentals (e.g., primary and foreign keys, constraints, indexing, etc.)
- Ability to work in large, collaborative teams to achieve organizational goals, with a passion to build an innovative culture
- Knowledge of industry-wide technology trends and best practices
Preferred qualifications, capabilities, and skills
- Understanding of general Mainframe Utilities, Database Utilities and Stored Procedures
- Familiar with mainframe environment and the use of TSO / ISPF
- Understanding of Distributed and Static SQL workloads
- Understanding of plex mainframe configuration including Data Sharing & Stand-In
- Familiar with IDAA (Data Analytics Accelerators)
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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Find Data Engineer JobsData Engineer Job Market in Plano
Who's Hiring
- JPMorganChase92
- NTT DATA77
- Capital One31
- Cyberlocke31C
- PepsiCo15
Top Industries Hiring
- Banking & Financial Services31
- Media & Entertainment15
- Technology & Software15
Data Engineer Jobs in Plano: Frequently Asked Questions
How do I get a data engineer job in Plano?
Plano's strongest hiring comes from financial services firms, regional healthcare networks, and the large enterprise technology operations based in Legacy Business Park and Granite Park. Candidates with hands-on experience in cloud data platforms, SQL, and pipeline tooling stand out locally. Targeting companies in those corridors directly, and tailoring your resume to the data stack each employer uses, gives you the clearest edge in this market.
Which companies hire data engineers in Plano?
Plano data engineer roles are posted by JPMorganChase, NTT DATA, and Capital One and others right now, based on current listings on Migrate Mate as of September 2026. Plano attracts a mix of large corporate headquarters, regional financial institutions, and technology service providers, all of which maintain dedicated data engineering teams.
Are there remote data engineer jobs in Plano?
Yes, though availability depends on the role. Data engineering work is generally well-suited to remote and hybrid arrangements because it centers on code, pipelines, and cloud infrastructure rather than on-site equipment. About 75% of data engineer openings tied to Plano are remote or hybrid as of September 2026, with the most flexibility found in roles focused on analytics engineering and cloud platform work rather than on-premises data infrastructure.
How can I get a data engineer job in Plano with little or no experience?
The most realistic entry path in Plano is moving into a junior data engineer or data analyst role at one of the city's mid-size financial services or healthcare technology firms, which tend to invest more in developing early-career talent than large national headquarters operations. Building a portfolio with real ETL projects and demonstrating familiarity with a cloud platform like AWS or Azure is what local hiring managers ask for most. Associate data analyst and BI developer roles at Plano employers also serve as strong stepping stones.
Which industries hire the most data engineers in Plano?
The sectors hiring the most data engineers in Plano are Banking & Financial Services, Media & Entertainment, and Technology & Software, based on current listings on Migrate Mate as of September 2026. Plano's concentration of corporate headquarters and regional operations centers in those industries creates consistent, ongoing demand for data engineering talent rather than project-driven hiring spikes.
See All 414+ Data Engineer Jobs in Plano
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