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Data Engineer Jobs in Grapevine, TX (NOW HIRING)

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Data Engineer Job Location: Dallas, TX Job Type: Contract * This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions ...

Data Engineer

Addison, TX ยท On-site

$95K - $120K/yr

Minimum 8+ years Roles & Responsibilities โ€ข Ensure that the design and engineering approach for complex data solutions is consistent across multiple flows and systems. โ€ข Conduct research, designs ...

Sr. Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

... data engineering pipeline frameworks while ensuring these are reusable, scalable, efficient, maintainable, gracefully recover from failures, reprocessing the data should be easy. ยท Drive data ...

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Data Engineer Location: Dallas, TX (Hybrid) Experience: 10 Year Visa: Except GC Data Engineer will be part of the datastore-migration Factory team that will be responsible to perform for the end-to ...

New

Data Engineer

Frisco, TX ยท On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA - Additional locations Frisco/Atlanta/Overland Park* Work schedule details: onsite Key Responsibilities:

Data Engineer

Southlake, TX ยท On-site

$43.27 - $52.88/hr

As a Data Engineer, you will help develop, test, and maintain data pipelines that support accurate data migration across source and target systems. In this role, you will use data engineering ...

Data Engineer

Irving, TX ยท On-site

$125K - $140K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in designing, building, and optimizing our next-generation scalable data pipelines. This position ...

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Dallas, TX ยท On-site

$110K - $132K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while ...

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

They are seeking a Data Engineer to work with Snowflake cloud data platform and build data warehouse solutions, requiring a strong background in data processing and pipeline development.

Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Southlake, TX ยท On-site

$43.27 - $52.88/hr

As a Data Engineer, you will help develop, test, and maintain data pipelines that support accurate data migration across source and target systems. In this role, you will use data engineering ...

Data Engineer

Plano, TX ยท On-site

$110K - $132K/yr

They are seeking a passionate Data Engineer to build scalable data platforms and optimize large-scale data pipelines, collaborating closely with Data Scientists and Analysts to enable data-driven ...

Data Engineer

Dallas, TX ยท On-site

$110K - $132K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Grand Prairie, TX ยท On-site

$109K - $131K/yr

About the Role We are seeking an experienced Data Engineer to design, build, and maintain scalable cloud data pipelines supporting high-volume manufacturing and IoT data. The ideal candidate will ...

New

Showing results 41-60

Data Engineer information

See Grapevine, TX salary details

$41.1K

$119.8K

$164K

How much do data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data engineer in Grapevine, TX is $119,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $127,000.00 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 Grapevine, TX? The most popular types of Data Engineer jobs in Grapevine, TX are:
What are popular job titles related to Data Engineer jobs in Grapevine, TX? For Data Engineer jobs in Grapevine, TX, the most frequently searched job titles are:
What cities near Grapevine, TX are hiring for Data Engineer jobs? Cities near Grapevine, TX with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Grapevine, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,842 per year, or $57.6 per hour.

Data Engineer

Staffingine LLC

Dallas, TX โ€ข On-site

$113K - $136K/yr

Contractor

Re-posted 19 days ago


Job description

Job Title: Data Engineer
Job Location: Dallas, TX
Job Type: Contract

Job Description:

  • This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced.
  • Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.
  • Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
    Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools
    Perform multiple aspects involved in the development lifecycle – design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support
  • Provide technical leadership and collaborate within a team environment as well as work independently
  • Be a part of a DevOps team that completely owns and supports their product
    Implement batch and streaming data pipelines using cloud technologies
  • Leads development of coding standards, best practices and privacy and security guidelines
  • Mentors' others on technical and domain skills to create multi-functional teams
    All you'll need for success