Aws Data Engineer Jobs in Texas
Aws Data Engineer jobs in Texas are among the most active in the country, concentrated in cloud infrastructure, financial services, energy tech, and healthcare analytics, with openings at every level from entry-level associate through senior and staff engineer. Austin, Dallas, and Houston are the primary hiring hubs, where companies like Dell Technologies, American Airlines, and ExxonMobil have deep and lasting engineering footprints. The most in-demand specialties right now are real-time data pipeline development, AWS Glue and Redshift architecture, and large-scale ETL modernization. Find a role that fits below and apply directly.
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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate Sector's AI/ML & Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Designs and implements secure Data Lake solutions within the AWS environment.
- IaaS (Infrastructure As A Code) development including Terraform configuration script, Python scripts or Java programming to create services and resources in AWS Cloud environment.
- Explores and evaluates new Data Management features offered by AWS.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, MCP server creation, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Collaboration with different teams to execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on experience in AWS, especially in Data Management arena such as Glue, EMR, Athena, Redshift, and Lake Formation.
- Proficient in Python, Java, and database query languages for applications development, debugging, and maintenance in a large corporate environment
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Overall solid knowledge of the Software Development Life Cycle
Preferred qualifications, capabilities, and skills
- Hands-on Terraform or other IaaS experience
- AWS certification on Solutions Architect Associate / Developer level
- Other advanced level certification on programming languages.
- Knowledge working with PCI and sensitive data workloads
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.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate Sector's AI/ML & Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Designs and implements secure Data Lake solutions within the AWS environment.
- IaaS (Infrastructure As A Code) development including Terraform configuration script, Python scripts or Java programming to create services and resources in AWS Cloud environment.
- Explores and evaluates new Data Management features offered by AWS.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, MCP server creation, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Collaboration with different teams to execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on experience in AWS, especially in Data Management arena such as Glue, EMR, Athena, Redshift, and Lake Formation.
- Proficient in Python, Java, and database query languages for applications development, debugging, and maintenance in a large corporate environment
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Overall solid knowledge of the Software Development Life Cycle
Preferred qualifications, capabilities, and skills
- Hands-on Terraform or other IaaS experience
- AWS certification on Solutions Architect Associate / Developer level
- Other advanced level certification on programming languages.
- Knowledge working with PCI and sensitive data workloads
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 16 Aws Data Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Aws Data Engineer JobsAws Data Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Aws Data Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Energy
- Retail
- Distribution & Wholesale
- Banking & Financial Services
What Texas Employers Look For
The qualifications that appear most often in aws data engineer jobs across Texas.
- Hands-on experience building and maintaining data pipelines on AWS services
- Proficiency with AWS Glue, Redshift, S3, Lambda, and related data services
- Strong SQL skills and experience with Python or Scala for data transformation
- Experience with data modeling, warehousing concepts, and dimensional design
- Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation
- Bachelor's degree in computer science, engineering, or a related technical field
Aws Data Engineer Jobs in Texas: Frequently Asked Questions
How do you become a aws data engineer in Texas?
Most aws data engineer roles in Texas require a bachelor's degree in computer science, information systems, or a related field, followed by hands-on cloud experience. There is no state-issued license for this role in Texas. Employers across Austin, Dallas, and Houston consistently prioritize candidates who hold the AWS Certified Data Analytics or AWS Certified Solutions Architect credential, which you can earn through AWS's own certification program independent of any Texas licensing body.
How much do aws data engineers make in Texas?
Aws data engineers in Texas earn a median of about $151,370 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $92,890 for the lowest 10% to over $200,390 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire aws data engineers in Texas?
Employers hiring aws data engineers in Texas right now include Amazon, Amazon Web Services, and SAIC, based on current listings on Migrate Mate as of September 2026. Texas's concentration of energy, financial services, and technology headquarters means demand is spread across both large enterprise teams and regional cloud-first companies.
Which Texas cities have the most aws data engineer jobs?
Austin, Plano, and Dallas have the most aws data engineer openings in Texas. Austin's technology sector and headquarters density drive the bulk of cloud engineering demand, while Dallas benefits from major financial services and telecom employers, and Houston's energy industry is actively modernizing its data infrastructure on cloud platforms.
Are there remote aws data engineer jobs in Texas?
Yes, and more than most fields. About 100% of aws data engineer openings tied to Texas are remote or hybrid as of September 2026, reflecting how thoroughly cloud-native this work is by nature. Pipeline development, data modeling, and cloud architecture are the sub-areas most commonly offered fully remote, while roles involving on-premises data integration or stakeholder-facing analytics tend to require at least partial on-site presence.
How can I get hired as a aws data engineer in Texas with little or no experience?
The most realistic entry path is transitioning from a data analyst or BI developer role, which gives you SQL depth and stakeholder exposure that Texas employers value before moving you into pipeline work. Large Austin and Dallas tech employers often run associate data engineer rotations for recent graduates, and energy companies in Houston hire entry-level cloud analysts who learn AWS tooling on the job. Building a GitHub portfolio with AWS Glue or Redshift projects and earning the AWS Cloud Practitioner or AWS Certified Data Analytics credential gives candidates without professional experience a concrete edge.
Where can I find and apply to aws data engineer jobs in Texas?
You can find and apply to aws data engineer jobs in Texas on Migrate Mate, which lists current openings tied to Texas locations and remote roles posted by Texas employers. Search the listings, find roles that match your experience and focus area, and apply directly to each one.
See All 16 Aws Data Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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