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Deloitte Data Engineer Jobs in Texas (NOW HIRING)

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)

Deloitte

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

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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 Jul 26, 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, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.
Data Engineering Manager

Data Engineering Manager

1 point system

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Posted 8 days ago

Job description

REQUIRED SKILLS

Snowflake

Semantic Layer

Kafka

Hands-on experience with:

  • SQL, Python, PySpark
  • Snowflake (data modeling, performance optimization, RBAC, Bronze/Silver/Gold architecture)
  • DBT for transformations/configurations
  • ETL/ELT tools (Airflow, Informatica, Glue, ADF, etc.)
  • Strong background in data pipeline testing, validation, and quality frameworks.
  • Experience working with consulting partners (Deloitte preferred) and distributed onshore/offshore engineering teams.
  • Excellent delivery and risk management skills—able to foresee challenges, maintain RAID logs, and keep workstreams accountable.
  • Strong executive presence; comfortable reporting to AVPs, CIO, and executive steering committees.
  • Effective communicator who can bridge business and technical discussions.
  • Experience in financial services, mortgage, or other highly regulated industries preferred.

This role will provide hands-on delivery leadership, technical oversight, and risk management to ensure engineering milestones are met, risks are addressed, and assets are delivered on time and to specification.

The Manager will own: 

Semantic Views & Reporting Enablement – business-focused track driving configuration of semantic layers, reporting views, and dashboard readiness for downstream consumers. 

Key Responsibilities 

  • Serve as the delivery lead for one of the core data engineering tracks (Semantic layer/reporting).
  • Ensure all engineering deliverables are executed against the program roadmap and timelines; identify risks and implement mitigation strategies.
  • Work daily with Deloitte engineering teams, internal program managers, AVPs, and business stakeholders to track progress and resolve issues.
  • Attend and contribute to daily scrums with onshore, offshore, and Deloitte engineers, ensuring blockers are removed and deliverables stay on track.
  • Provide technical oversight for data engineering efforts including:
  • Snowflake pipelines (Bronze, Silver layers)
  • DBT transformations and configuration
  • Semantic view modeling for BI/reporting
  • Testing frameworks and validation processes
  • Mentor and monitor engineers across the workstream; foster accountability and quality delivery.
  • Deliver polished status updates and risk reports to program managers and executive leadership (CIO, AVPs, executive steering committee).
  • Collaborate with PMO program managers, ensuring alignment across business, change management, Deloitte, and cloud vendors (Google, AWS, etc.).
  • Act as the bridge between engineering execution and program leadership, ensuring clarity in priorities, milestones, and dependencies.

Qualifications 

  • 6+ years of experience in data engineering and delivery leadership.
  • Proven track record managing delivery of Snowflake-based data platforms (pipelines, ETL, semantic layers). 

Hands-on experience with:

  • SQL, Python, PySpark
  • Snowflake (data modeling, performance optimization, RBAC, Bronze/Silver/Gold architecture)
  • DBT for transformations/configurations
  • ETL/ELT tools (Airflow, Informatica, Glue, ADF, etc.)
  • Strong background in data pipeline testing, validation, and quality frameworks.
  • Experience working with consulting partners (Deloitte preferred) and distributed onshore/offshore engineering teams.
  • Excellent delivery and risk management skills—able to foresee challenges, maintain RAID logs, and keep workstreams accountable.
  • Strong executive presence; comfortable reporting to AVPs, CIO, and executive steering committees.
  • Effective communicator who can bridge business and technical discussions.
  • Experience in financial services, mortgage, or other highly regulated industries preferred.