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Data Engineer Jobs in Prosper, TX (NOW HIRING)

Data Engineer

Plano, TX · 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 · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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

Plano, TX · On-site

$110K - $132K/yr

Our teams work on scalable, high-impact engineering challenges across cloud, data, and intelligent automation ecosystems. If you are passionate about innovation, solving complex problems, and ...

New

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Alpha Consulting Corp. is seeking a skilled Data Engineer with a background in AWS and GCP to join their team for a 9-month contract. The ideal candidate will have experience in the banking sector ...

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Data Engineer

Plano, TX · On-site

$115K - $122K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Cross Channel Customer Interaction is seeking a Full Stack developer with Data Engineering experience. will have to understand concepts of Data Warehousing and Data Cloud solutions. 2-3 years ...

New

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

They are looking for a passionate Data Engineer to build scalable data platforms and optimize large-scale data pipelines while collaborating with Data Scientists, Analysts, and business stakeholders.

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Our teams work on scalable, high-impact engineering challenges across cloud, data, and intelligent automation ecosystems. If you are passionate about innovation, solving complex problems, and ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

The ideal candidate will have a strong Data Engineering background with extensive experience working with Big Data technologies . * Day-to-Day Responsibilities: Engineers will operate within a ...

Sr Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Sr. Data Engineer (Java / Snowflake / DataStage / Python) Overview We are seeking a Senior Data Engineer / Full Stack Developer to support enterprise data engineering initiatives. This role will ...

Data Engineer

Sherman, TX · On-site

$102K - $122K/yr

The TI North Texas region 300mm Industrial Engineering and Advanced Data Analytics team is looking for an accomplished Data engineer with strong high-tech manufacturing, process modeling, data ...

Sr Data Engineer

Plano, TX · On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Sr. Data Engineer (Java / Snowflake / DataStage / Python) Overview We are seeking a Senior Data Engineer / Full Stack Developer to support enterprise data engineering initiatives. This role will ...

GCP Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

GCP Data Engineer Location: Richardson, TX Duration: Long term contract Interview: F2F (Face to Face)/Onsite Job Summary: We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to ...

Data Engineer

Carrollton, TX · On-site

$120K/yr

  • Retirement

  • PTO

Data Engineer Location: Lewisville TX Onsite/ Remote: Day 1 Onsite at customer location Automotive domain Must. Job Functions / Responsibilities · Candidate must have Battery Electric Vehicle ...

Data Engineer

Dallas, TX · Remote

  • Medical

  • Dental

  • Vision

  • PTO

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client ...

Data Engineer I

Farmers Branch, TX · On-site

$110K - $132K/yr

  • Medical

  • Life

  • Retirement

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to the development of the enterprise data platform. This role applies foundational data engineering ...

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

We are looking for a motivated Data Engineer to join our growing data team. This role is ideal for a beginner-to-intermediate professional who is excited to help build, maintain, and optimize modern ...

Showing results 41-60

Data Engineer information

See Prosper, TX salary details

$40.8K

$118.8K

$162.6K

How much do data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer in Prosper, TX is $118,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $125,900.00 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 Prosper, TX?

The most popular types of Data Engineer jobs in Prosper, TX are:

What are popular job titles related to Data Engineer jobs in Prosper, TX?

For Data Engineer jobs in Prosper, TX, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Prosper, TX look for?

The top searched job categories for Data Engineer jobs in Prosper, TX are:

What cities near Prosper, TX are hiring for Data Engineer jobs?

Cities near Prosper, TX with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Prosper, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,793 per year, or $57.1 per hour.

Data Engineer

Ascentt

Plano, TX • On-site

$110K - $132K/yr

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. 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 decision-making.
Responsibilities:
• Design, build, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data
• Develop high-performance data processing solutions using PySpark and distributed computing frameworks
• Build, optimize, and manage data platforms on Databricks and/or Snowflake
• Write clean, efficient, and production-ready SQL queries and Python code for data transformation, automation, and analytics
• Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product teams, and Business stakeholders to deliver data-driven solutions
• Ensure data quality, governance, integrity, scalability, and reliability across enterprise data systems
• Monitor, troubleshoot, and optimize existing pipelines, workflows, and database performance
• Implement best practices around coding standards, testing, CI/CD, version control, and technical documentation
Qualifications:
Required:
• 2–5 years of experience in Data Engineering or related roles
• Strong hands-on experience with Databricks and/or Snowflake
• Proficiency in SQL and Python programming
• Practical experience with PySpark and distributed data processing
• Solid understanding of Data Warehousing, ETL/ELT concepts, and Data Modeling
• Experience working with large-scale datasets in cloud-based environments
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field
Preferred:
• Experience with cloud platforms such as AWS, Azure, or GCP
• Familiarity with orchestration and transformation tools such as Airflow, dbt, or Azure Data Factory (ADF)
• Knowledge of Git, CI/CD pipelines, and DevOps best practices
• Exposure to Delta Lake, Lakehouse architecture, Kafka, Spark Streaming, or real-time data processing
• Experience working in Agile/Scrum environments is a plus
Company:
Ascentt is an AI, ML and Data Science solutions provider serving enterprise customers. Founded in 2007, the company is headquartered in Plano, USA, with a team of 201-500 employees. The company is currently Growth Stage.