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Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Plano, TX

$110K - $132K/yr

Data Engineer Location: Plano, TX (Onsite) looking for an experienced Data Engineer to build and maintain scalable data pipelines and analytics solutions leveraging AWS services such as Athena ...

Data Engineer

Dallas, TX · 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

Plano, TX · On-site

$110K - $132K/yr

We are seeking a Data Engineer with strong experience in Azure Databricks, Power BI, Python, and enterprise data pipelines . The ideal candidate will be responsible for designing, developing, and ...

Data Engineer

Plano, TX

$110K - $132K/yr

Data Engineering Manager Design, develop, and maintain scalable, production-grade ELT pipelines using Snowflake and dbt (Core or Cloud). Lead technical design discussions and provide architectural ...

Data Engineer

Irving, TX

$109K - $132K/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

Plano, TX

$110K - $132K/yr

Data Engineer Location: Plano, TX Type: Contract Key Skills: Power BI, Azure Data Bricks, Python Required Experience: * 5+ years of Data Engineering experience * Strong expertise in Azure Databricks ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of ...

Data Engineer

Houston, TX · Remote

$109K - $131K/yr

Data Engineer Brooksource Fortune 500 Oil & Gas Client Houston, TX Overview We are partnering with a rapidly growing data and AI team within a leading energy organization that is building out its ...

Data Engineer

Farmers Branch, TX

$110K - $132K/yr

Data Engineer Location: Dallas, TX (3 days onsite/week) Duration: Contract Interview Mode: In person Interview. Must Have: * 5+ years of experience in data engineering * Python * SQL * Data Warehouse

Data Engineer

Dallas, TX · Hybrid

$113K - $136K/yr

Walmart - Sam's Club Data Engineer Sunnyvale - Hybrid 2-3 days onsite No subvending ideally they want the canidates to be local to Bay area. But will look at canidates that sit in Bentonville or ...

Data Engineer

Houston, TX · On-site

$65 - $90/hr

Data Engineer Brooksource Fortune 500 Oil & Gas Client Houston, TX Overview We are partnering with a rapidly growing data and AI team within a leading energy organization that is building out its ...

Data Engineer

Frisco, TX

$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

Houston, TX · Remote

$109K - $131K/yr

Data Engineer Brooksource Fortune 500 Oil & Gas Client Houston, TX Overview We are partnering with a rapidly growing data and AI team within a leading energy organization that is building out its ...

Data Engineer

Irving, TX · 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

Roanoke, TX · On-site +1

$130K/yr

We are currently seeking a Data Engineer for our client in the Financial Services domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a ...

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer Frisco, TX Skill 1 Yrs of Exp Data Engineering Skill 2 Yrs of Exp Data Bricks Skill 3 Yrs of Exp Python CORE RESPONSIBILITIES * Execute against decomposed solution designs handed off by ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collaborates with data analysts to create data pipelines for data from all kinds of ...

Associate Data Engineer

Dallas, TX · 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 ...

Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Data Engineer Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models ...

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Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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 are Data Engineers?

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.
What are the most commonly searched types of Data Engineer jobs in Texas? The most popular types of Data Engineer jobs in Texas are:
What cities in Texas are hiring for Data Engineer jobs? Cities in Texas with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in TX? For Data Engineer jobs in TX, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in Texas as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.
Data Engineer

$110K - $132K/yr

Other

Posted 2 days ago


Job description

Role: Data Engineer
Location: Plano, TX (Onsite)
looking for an experienced Data Engineer to build and maintain scalable data pipelines and analytics solutions leveraging AWS services such as Athena, Lambda, Glue, and S3. The candidate will support reporting and AI initiatives by ensuring robust data availability and transformation.
Responsibilities
  • Design, build, and maintain ETL/ELT data pipelines using AWS services.
  • Develop event driven and serverless data workflows using AWS Lambda.
  • Create optimized queries and data schemas in AWS Athena and Glue Data Catalog.
  • Integrate data from multiple systems into centralized analytical datasets.
  • Work closely with BI and AI teams to prepare data for dashboards, ML models, and analytics.
  • Implement data quality checks, monitoring, and exception handling.
  • Ensure best practices for security, IAM roles, encryption, and cost optimization.
Required Skills
  • 5-10+ years of Data Engineering experience.
  • Strong experience with AWS Athena, Lambda, Glue, Step Functions, and S3.
  • Expertise in Python programming for ETL, automation, and AWS SDK usage.
  • Strong SQL skills and familiarity with partitioning, optimization, and performance tuning.
  • Experience with CI/CD pipelines and DevOps tools (CodePipeline, Git).
  • Understanding of data lakes, data warehousing, and lakehouse patterns.

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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