Data Engineer Jobs in Dallas, TX
Data Engineer jobs in Dallas are in strong demand, concentrated in Uptown, the Platinum Corridor along LBJ Freeway, and Downtown across financial services, telecom, healthcare technology, and energy analytics. Employers hiring right now include Olsson, Capgemini, and AECOM. Find a role that fits below and apply directly.
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Work you'll do/Responsibilities
- Design, develop, and maintain production-ready software solutions in an agile environment.
- Build and support cloud applications using AWS services such as EC2, S3, Lambda, API Gateway, and RDS or DynamoDB.
- Develop application components with modern languages and frameworks, including Python, Java, Angular, and Go.
- Implement authentication and security best practices, including OAuth and Okta integrations.
- Build and maintain CI/CD workflows with tools such as GitHub Actions; use AI-assisted development tools and explore platforms such as GitHub Copilot, Claude Code, AWS Bedrock, and Microsoft Copilot Studio.
- Conduct research-focused proofs of concept to assess emerging AI, data engineering, and cloud technologies for effective, ethical enterprise use; evaluate data-processing methods, pipeline performance, data quality, scalability, and cloud monitoring to identify infrastructure improvements.
The Team
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required
- 6+ years of experience delivering software solutions in an Agile environment.
- Experience designing, developing, and maintaining applications using AWS services such as EC2, S3, Lambda, API Gateway, RDS, DynamoDB, ECS, Step Functions, IAM, Glue, Athena, or Redshift.
- Programming experience with Python and Java.
- Experience with authentication and security practices, and CI/CD workflows such as GitHub Actions.
- Experience using AI-assisted development tools (e.g., GitHub Copilot or Claude Code), AI development platforms (e.g., AWS Bedrock or Microsoft Copilot Studio), and cloud monitoring practices; conducting research-focused proofs of concept; and evaluating data-processing methods, pipeline performance, data quality, and scalability to identify improvements to data and AI infrastructure.
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.
For individuals assigned and/or hired to work in Texas , Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Texas and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.A reasonable estimate of the current range is $102,800 to $171,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
See All 435+ Data Engineer Jobs in Dallas
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Find Data Engineer JobsData Engineer Job Market in Dallas
Who's Hiring
- Olsson28

- Capgemini22

- AECOM17

- Intone Networks17

- EY11

Top Industries Hiring
- Technology & Software17
- Construction & Real Estate6
- Banking & Financial Services6
- Consulting & Professional Services6
Data Engineer Jobs in Dallas: Frequently Asked Questions
How do I get a data engineer job in Dallas?
Focus your search on Dallas's strongest hiring sectors: financial services firms clustered Downtown and in Uptown, telecom and technology companies along the Platinum Corridor, and health systems based in the Medical District. Candidates who demonstrate hands-on experience with cloud data platforms and pipeline tooling move faster through local hiring processes. Networking within the Dallas tech and data community, including local meetups and industry events, also gives you a measurable edge over remote applicants.
Which companies hire data engineers in Dallas?
Dallas data engineer roles are posted by Olsson, Capgemini, and AECOM and others right now, based on current listings on Migrate Mate as of November 2026. The local market includes a mix of large financial institutions, regional healthcare systems, Fortune 500 corporate headquarters, and mid-size technology firms, all of which maintain active data engineering teams in the Dallas area.
Are there remote data engineer jobs in Dallas?
Yes, though availability depends on the role: pipeline and cloud infrastructure work is commonly done remotely, while embedded or on-site data platform roles typically require in-office presence. About 86% of data engineer openings tied to Dallas are remote or hybrid as of November 2026, reflecting broader flexibility across the sector. Analytics engineering and data modeling positions at Dallas technology and financial services companies tend to offer the most remote flexibility.
How can I get a data engineer job in Dallas with little or no experience?
The most realistic entry path in Dallas is through associate or junior data engineer roles at mid-size technology firms and regional financial services companies, which hire more entry-level talent than large enterprise headquarters. Lateral moves from data analyst or database administrator positions are common locally. Building a portfolio with cloud platform certifications, particularly AWS or Azure given their prevalence among Dallas employers, and contributing to open-source or personal pipeline projects gives early-career candidates a concrete advantage in local hiring conversations.
Which industries hire the most data engineers in Dallas?
The sectors hiring the most data engineers in Dallas are Technology & Software, Construction & Real Estate, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. Dallas's concentration of corporate headquarters, regional bank operations, large health systems, and telecommunications infrastructure creates consistent, year-round demand for data engineering talent across these industries.
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