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 Capital One, JPMorganChase, and USAA. Find a role that fits below and apply directly.
Find Data Engineer JobsOverview
Showing 5 of 435+ Data Engineer jobs
As a Senior Lead Software Engineer at JPMorganChase within Corporate Technology – Chief Technology Office, you serve as a senior individual contributor and technical leader on an agile team designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You drive critical technology solutions across multiple technical areas, translate firmwide objectives into concrete technical designs, and raise the engineering bar through strong architecture, high-quality delivery, and operational rigor.
Job responsibilities
- Serves as a hands-on technical leader, contributing production code (primarily Python) and owning end-to-end delivery from design through production operations.
- Leads system and platform architecture for components supporting end-to-end ML workflows, including data transformation patterns, feature management integration, orchestration enablement, and model serving integration.
- Designs and develops agentic AI capabilities that analyze workloads and generate optimization recommendations, including evaluation approaches, monitoring, and feedback loops required for production readiness.
- Builds and maintains reusable APIs/SDKs and reference implementations that enable consistent platform adoption and reduce duplicated effort across teams.
- Partners with data scientists, ML engineers, and product teams to clarify requirements, define technical approaches, manage dependencies, and deliver measurable outcomes.
- Ensures platform reliability, scalability, performance, and cost efficiency through SLOs, proactive monitoring, incident response participation, root-cause analysis, and continuous improvement.
- Automates infrastructure provisioning, configuration, and CI/CD pipelines for platform services using Infrastructure as Code, promoting safe and repeatable deployments across environments.
- Drives adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, establishing consistent validation standards (correctness, performance, security) and promoting reuse of effective patterns.
- Produces architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices.
- Mentors engineers through technical coaching, design reviews, and pairing, contributing to a strong culture of engineering excellence.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies.
Required qualifications
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Demonstrated experience in system design, application development, testing, and operational stability for distributed systems and platform services.
- Strong hands-on depth in Python, including building and maintaining APIs/SDKs; ability to lead design and perform high-quality code/design reviews.
- Demonstrated experience with enterprise-authorized AI-assisted development tools (e.g., GitHub Copilot, Claude Code) and experience establishing practical team norms for validation and quality (correctness, performance, security) in day-to-day engineering workflows.
- Experience delivering platforms involving Generative AI, including LLM orchestration patterns and agentic AI frameworks, with production-grade evaluation and monitoring practices.
- Practical experience with AWS, containerized platforms (e.g., EKS/ECS), and Terraform (or equivalent IaC).
- Databricks experience is required, including building and operating data/ML workloads on Databricks (e.g., pipelines, notebooks/jobs, Delta/feature datasets, orchestration/integration with ML workflows).
- Comprehensive knowledge of the Software Development Life Cycle, agile delivery, CI/CD, and modern engineering quality controls.
- Strong communication skills with business-facing partners and technical stakeholders; ability to translate strategy into execution and measurable outcomes.
Preferred qualifications
- Experience building ML platforms integrating data engineering, feature management, and model serving into cohesive developer-friendly workflows.
- Knowledge of AI/ML model integration, context engineering, and MCP-style patterns for tool/function integration.
- Exposure to Snowflake.
- Familiarity with observability/metrics tools (e.g., CloudWatch, Dynatrace, Datadog).
- AWS certifications.
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
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
As a Senior Lead Software Engineer at JPMorganChase within Corporate Technology – Chief Technology Office, you serve as a senior individual contributor and technical leader on an agile team designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You drive critical technology solutions across multiple technical areas, translate firmwide objectives into concrete technical designs, and raise the engineering bar through strong architecture, high-quality delivery, and operational rigor.
Job responsibilities
- Serves as a hands-on technical leader, contributing production code (primarily Python) and owning end-to-end delivery from design through production operations.
- Leads system and platform architecture for components supporting end-to-end ML workflows, including data transformation patterns, feature management integration, orchestration enablement, and model serving integration.
- Designs and develops agentic AI capabilities that analyze workloads and generate optimization recommendations, including evaluation approaches, monitoring, and feedback loops required for production readiness.
- Builds and maintains reusable APIs/SDKs and reference implementations that enable consistent platform adoption and reduce duplicated effort across teams.
- Partners with data scientists, ML engineers, and product teams to clarify requirements, define technical approaches, manage dependencies, and deliver measurable outcomes.
- Ensures platform reliability, scalability, performance, and cost efficiency through SLOs, proactive monitoring, incident response participation, root-cause analysis, and continuous improvement.
- Automates infrastructure provisioning, configuration, and CI/CD pipelines for platform services using Infrastructure as Code, promoting safe and repeatable deployments across environments.
- Drives adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, establishing consistent validation standards (correctness, performance, security) and promoting reuse of effective patterns.
- Produces architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices.
- Mentors engineers through technical coaching, design reviews, and pairing, contributing to a strong culture of engineering excellence.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies.
Required qualifications
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Demonstrated experience in system design, application development, testing, and operational stability for distributed systems and platform services.
- Strong hands-on depth in Python, including building and maintaining APIs/SDKs; ability to lead design and perform high-quality code/design reviews.
- Demonstrated experience with enterprise-authorized AI-assisted development tools (e.g., GitHub Copilot, Claude Code) and experience establishing practical team norms for validation and quality (correctness, performance, security) in day-to-day engineering workflows.
- Experience delivering platforms involving Generative AI, including LLM orchestration patterns and agentic AI frameworks, with production-grade evaluation and monitoring practices.
- Practical experience with AWS, containerized platforms (e.g., EKS/ECS), and Terraform (or equivalent IaC).
- Databricks experience is required, including building and operating data/ML workloads on Databricks (e.g., pipelines, notebooks/jobs, Delta/feature datasets, orchestration/integration with ML workflows).
- Comprehensive knowledge of the Software Development Life Cycle, agile delivery, CI/CD, and modern engineering quality controls.
- Strong communication skills with business-facing partners and technical stakeholders; ability to translate strategy into execution and measurable outcomes.
Preferred qualifications
- Experience building ML platforms integrating data engineering, feature management, and model serving into cohesive developer-friendly workflows.
- Knowledge of AI/ML model integration, context engineering, and MCP-style patterns for tool/function integration.
- Exposure to Snowflake.
- Familiarity with observability/metrics tools (e.g., CloudWatch, Dynatrace, Datadog).
- AWS certifications.
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
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 435+ Data Engineer Jobs in Plano
Find roles in Plano that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Job Market in Plano
Who's Hiring
- Capital One91
- JPMorganChase91
- USAA36
- NTT DATA36
- Cyberlocke36C
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
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 Capital One, JPMorganChase, and USAA and others right now, based on current listings on Migrate Mate as of November 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 70% of data engineer openings tied to Plano are remote or hybrid as of November 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 Technology & Software and Consulting & Professional Services, based on current listings on Migrate Mate as of November 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 435+ Data Engineer Jobs in Plano
Find roles in Plano that match your experience and apply in just a few clicks.
Find Data Engineer Jobs