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Deloitte Data Engineer Jobs in Texas (NOW HIRING)

Deloitte

Senior Data Engineer

Dallas, TX · Hybrid

$104K - $142K/yr

If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Deloitte

Senior Data Engineer

Houston, TX · Hybrid

$101K - $137K/yr

If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Deloitte

Senior Data Engineer

Austin, TX · Hybrid

$105K - $142K/yr

If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Deloitte

Project - Data Engineer II

Fort Worth, TX · On-site

$109K - $131K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project ...

Deloitte

Project - Data Engineer II

Dallas, TX · On-site

$113K - $136K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to ... If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project ...

Deloitte

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... Develop and oversee data pipelines, model training workflows, and production-grade application ...

Deloitte

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... Develop and oversee data pipelines, model training workflows, and production-grade application ...

1 point system

Data Engineering Manager

Dallas, TX · On-site

$113K - $136K/yr

Experience working with consulting partners (Deloitte preferred) and distributed onshore/offshore ... Serve as the delivery lead for one of the core data engineering tracks (Semantic layer/reporting)

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All JobsDeloitte Data Engineer JobsDeloitte Data Engineer Jobs in Texas

Deloitte Data Engineer information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do deloitte data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for deloitte data engineer in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What does a Deloitte Data Engineer do?

A Deloitte Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures that help clients manage large volumes of data effectively. They work with technologies such as SQL, Python, cloud platforms, and big data tools to ensure data is accessible, reliable, and secure. Their role often involves collaborating with data scientists, analysts, and business stakeholders to deliver actionable insights and support decision-making processes. Deloitte Data Engineers also help implement best practices for data governance and optimize data workflows for performance and scalability.

What are the key skills and qualifications needed to thrive as a Deloitte Data Engineer, and why are they important?

To thrive as a Deloitte Data Engineer, you need expertise in data modeling, ETL processes, SQL, and programming languages such as Python or Scala, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), data warehousing solutions (such as Snowflake or Redshift), and relevant certifications are typically expected. Strong problem-solving, teamwork, and communication skills help you collaborate effectively with clients and multidisciplinary teams. These skills and qualities are crucial for designing scalable data solutions that drive business insights and meet client needs.

What is the difference between Deloitte Data Engineer vs Deloitte Data Analyst?

AspectDeloitte Data EngineerDeloitte Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, SparkBachelor's in Statistics, Business, or related; Excel, SQL, Tableau
Work EnvironmentData pipelines, cloud platforms, codingData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, consulting firms like DeloitteBusiness units, consulting projects, client-facing roles

While both roles work with data at Deloitte, Data Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job focus within Deloitte's data teams.

What are some common projects or tasks a Deloitte Data Engineer can expect to work on?

As a Deloitte Data Engineer, you can expect to work on projects that involve designing, building, and optimizing data pipelines and architectures for clients across various industries. Your daily responsibilities may include collaborating with data scientists and business analysts to understand data needs, developing ETL processes, integrating data from multiple sources, and ensuring data quality and security. You’ll often use cloud platforms, big data tools, and programming languages like SQL and Python. The role requires strong communication skills, as you’ll frequently interact with both technical and non-technical stakeholders to deliver data-driven solutions.
What are popular job titles related to Deloitte Data Engineer jobs in Texas? For Deloitte Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Deloitte Data Engineer jobs in Texas look for? The top searched job categories for Deloitte Data Engineer jobs in Texas are:
Deloitte Data Engineer jobs near you
Infographic showing various Deloitte Data Engineer job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Senior Data Engineer

Deloitte

Dallas, TX • Hybrid

$104K - $142K/yr

Full-time

Re-posted yesterday

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

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.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • 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

The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 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 $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

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.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • 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

The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 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 $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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