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Data Engineer Jobs in Dallas, TX (NOW HIRING)

Data Engineer

Dallas, TX ยท On-site +1

$113K - $136K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and ...

Data Engineer

Irving, TX ยท On-site

$109K - $132K/yr

JOB SUMMARY Data Engineer - MarTech Retail Media Network Overview Client is looking for a Data Engineer to join the MarTech team! MarTech builds and operates the platforms and capabilities that power ...

Data Engineer

Plano, TX

$107K - $128K/yr

Description Job Title- Data Engineer Department- Systems & Technology Reports to- VP, Software Engineering Location- Plano, TX Who we are- Founded in 1995, Elevate Aviation Group is the parent ...

Data Engineer

Dallas, TX ยท On-site

$60 - $65/hr

Data Engineer Location: Dallas, TX Job Summary: As a Databricks Lead, you will be a critical member of our data engineering team, responsible for designing, developing, and optimizing our data ...

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

This is a hands-on engineering role with a focus on data modeling, transformation, and scalability. Key Responsibilities * Design, implement, and maintain robust ETL/ELT pipelines to ingest and ...

Data Engineer

Westlake, TX ยท On-site

$60/hr

Data Engineer Target Pay Rate: Maximum USD $60.00/hr C2C * Location: Westlake, TX * Work Mode: Hybrid / Onsite Monday through Friday every other week (Connect weeks required) * Interview Process:

Data Engineer

Fort Worth, TX ยท On-site

$109K - $131K/yr

Sr. Data Engineer - Fort Worth, TX (3 Days Onsite) Description: Minimum Qualifications- Education & Prior Job Experience 5-7 years software solution development using agile, DevOps, operating in a ...

Data Engineer

Plano, TX ยท On-site

$107K - $128K/yr

Job Title- Data Engineer Department- Systems & Technology Reports to- VP, Software Engineering Location- Plano, TX Who we are- Founded in 1995, Elevate Aviation Group is the parent organization ...

Data Engineer

Plano, TX ยท On-site

$107K - $128K/yr

Job Type Full-time Description Job Title- Data Engineer Department- Systems & Technology Reports to- VP, Software Engineering Location- Plano, TX Who we are- Founded in 1995, Elevate Aviation Group ...

Data Engineer

Plano, TX ยท On-site

$110K - $132K/yr

Data Engineer Location: Plano, TX Onsite Duration: 12+ Months W2 Contract A Data Engineer MES/MOM Analytics designs, develops, and supports enterprise data and analytics solutions for manufacturing ...

New

Data Engineer

Frisco, TX ยท On-site

$107K - $128K/yr

Data Engineer Frisco TX Individuals within the Data Engineering role work closely with business stakeholders and EITS team members to understand the business requirements that drive the analysis and ...

Data Engineer

Irving, TX ยท On-site

$110K - $133K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

Data Engineer

Frisco, TX ยท On-site

$116K - $135K/yr

The Data Engineer will enable trusted, AI-ready data foundations and support client- and vendor-facing technology solutions that are critical to business operations, growth, and service delivery.

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Associate Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Associate Data Engineer Summary: Support the development of data engineering solutions on Azure with foundational skills in SQL and cloud platforms. Ideal for candidates ready to grow into a ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Irving, TX ยท On-site

$109K - $132K/yr

: Data Engineer Location: Irving, TX 12+ Months Only W2 Python/Pyspark/sql candidate. Cloud nice to have. Need experience building data pipelines Data engineer with experience in building, tuning ...

Data Engineer

Dallas, TX ยท On-site

$105K - $126K/yr

Data Engineer Duration: 8+ months Location: Dallas,TX (Hybrid) Skill set: Java, Hyve, Hbase, API, Spark (Data Engineer) * You have 8-10 years of relevant software development experience * You have ...

Data Engineer

Plano, TX ยท On-site

$110K - $132K/yr

Data Engineering: Design and support data models, ETL processes, and data integration from manufacturing systems. * Performance Optimization: Optimize SQL queries, Tableau workbooks, and data models ...

Showing results 21-40

Data Engineer information

See Dallas, TX salary details

$41.1K

$119.7K

$163.8K

How much do data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer in Dallas, TX is $119,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $126,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Dallas, TX? The most popular types of Data Engineer jobs in Dallas, TX are:
What job categories do people searching Data Engineer jobs in Dallas, TX look for? The top searched job categories for Data Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Engineer jobs? Cities near Dallas, TX with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $128,320 per year, or $61.7 per hour.

Data Engineer

XTG

Dallas, TX โ€ข On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago


Job description

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and operational decision-making. This role works within established architectural frameworks while contributing to the continued modernization of XTGโ€™s data platform. This role plays a key part in supporting the organizationโ€™s transition to modern cloud-based data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data integration initiatives.

The Exponential Technology Group (XTG) is a specialist in the electronic component distribution and design engineering services industries.ย  XTG is part of the TTI Family of Companies. This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or Raleigh-Durham

ACCOUNTABILITIES:ย 

Design, develop, test, and maintain data pipelines, dataflows, notebooks, and integration processes across enterprise systems.

Build and support data ingestion frameworks using Microsoft Fabric, Lakehouse/Warehouse architecture, SQL, and cloud-based data engineering patterns.

Develop and maintain Bronze, Silver, and Gold layer data structures to support reporting, analytics, and downstream business processes.

Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, operational, and third-party systems.

Partner with business stakeholders, analysts, and application teams to clarify data requirements and translate them into technical solutions.
Support data migration and integration efforts related to Dynamics 365 and other enterprise platform initiatives.
Develop and maintain SQL queries, stored procedures, views, data models, and transformation logic.
Implement data quality checks, validation rules, logging, error handling, and monitoring within data pipelines.
Troubleshoot and resolve issues related to data accuracy, pipeline failures, source system changes, performance, and integration errors.
Contribute to data architecture, governance, naming standards, documentation, and reusable engineering patterns.
Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source control and deployment of data engineering assets.
Collaborate with reporting and analytics teams to support Power BI semantic models, dashboards, and enterprise reporting needs.
Provide guidance and support to junior team members, analysts, or business users as needed.
Continuously expand technical knowledge across Microsoft Fabric, Azure, Power BI, Dynamics 365, and modern data engineering practices.
Additional duties as assigned.

ย 

EDUCATION & EXPERIENCE

Bachelorโ€™s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or equivalent professional experience.

4+ years of professional experience in data engineering, business intelligence, analytics engineering, or enterprise data integration.

Experience building and maintaining data pipelines, ETL/ELT processes, data warehouses, lakehouses, or cloud-based analytics platforms.

Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply chain platforms preferred.

Experience supporting data migration, system integration, or enterprise reporting initiatives preferred.

SKILLS & CERTIFICATIONS

  • Strong SQL development skills, including query optimization, joins, aggregations, views, stored procedures, and data validation logic.
  • Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or similar cloud data platforms.
  • Working knowledge of Power BI, semantic models, data modeling, and reporting data structures.
  • Ability to work independently on complex technical tasks while collaborating with business and technical stakeholders.
  • Strong documentation skills, including technical designs, data mappings, source-to-target logic, and operational procedures.
  • Exposure to or interest in AI-assisted development, automation, metadata-driven frameworks, or agentic AI tooling.
  • Microsoft certifications related to Fabric, Azure Data Engineering, Power BI, or Data Fundamentals preferred but not required.

What we offer our team members:ย 

  • A great benefits package that includes (but is not limited to): Medical/ Dental/ Vision, 401(k)/Roth plan with matching, Healthcare Savings Accounts.
    Educational Assistance (Tuition Reimbursement).
  • Ongoing training throughout your employment with opportunities to participate in professional and personal development programs.
  • A strong focus on giving back to our communities through philanthropic opportunities.
  • Great culture and opportunities for growth and advancement.

This is a summary of the primary accountabilities and requirements for this position.ย  The company reserves the right to modify or amend accountabilities and requirements at any time at its sole discretion based on business needs.ย  Any part of this job descriptions is subject to possible modification to reasonably accommodate individuals with disabilities.ย 

This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. โ€˜Green Card Holderโ€™), Political Asylee, or Refugee.

Visa sponsorship is not available for this role.ย  Only candidates authorized to work in the United States will be considered.ย 

ย XTG isย an Equal Opportunity Employer, and we support protected veterans and individuals with disabilities through our affirmative action program.