Data Engineer

Deloitte • Dallas, TX

1d • $102,800 - $171,300

About The Position

As an experienced Data Engineer in Deloitte’s Project Delivery Talent Model, you will deliver services to clients as a consultant, collaborating on projects without extensive travel. The role is tied to a project and focuses on delivering services, without additional expectations related to business development or promotion. Team members are eligible for a benefits package competitive for project delivery-focused professionals.

You will design, develop, and maintain production-ready software in an agile environment; build and support cloud applications; and develop application components using modern languages and frameworks. The work also includes implementing authentication and security practices, maintaining CI/CD workflows, and conducting research-focused proofs of concept. You will assess emerging AI, data engineering, and cloud technologies for effective and ethical enterprise use, and evaluate data processing, pipeline performance, data quality, scalability, and cloud monitoring to identify infrastructure improvements.

You will join Deloitte’s AI & Engineering team, which builds, deploys, and operates solutions across software, data, AI, networks, and hybrid cloud infrastructure. The AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help clients improve and scale their capabilities. The role is based in Dallas, Texas. Travel averages 10%, potentially including overnight travel. The stated Texas compensation range is $102,800 to $171,300, with possible eligibility for a discretionary annual incentive program.

Requirements

• At least 6 years of experience delivering software solutions in an agile environment.
• Experience designing, developing, and maintaining applications using AWS services, including one or more of 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 such as GitHub Copilot or Claude Code, AI development platforms such as AWS Bedrock or Microsoft Copilot Studio, and cloud monitoring practices.
• Experience 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 a related IT discipline, or equivalent experience.
• Ability to travel an average of 10%, potentially including overnight travel.

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 using 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 using 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.

Benefits

• Benefits package competitive for project delivery-focused professionals.
• May be eligible to participate in a discretionary annual incentive program.
• Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior