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Data Engineer Jobs in Addison, TX (NOW HIRING)

Programmers.io

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

Purple Drive Technologies

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Location: Dallas, TX / Plano, TX (Onsite) Job Summary We are seeking a Data Engineer with strong experience in designing, building, and maintaining scalable data pipelines and ETL ...

Omni Inclusive

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer We are seeking a talented Data Engineer with 7+ years of experience to join our team in the telecom industry. The ideal candidate will have a strong background in data engineering, with ...

INSPYR Solutions

Data Engineer

Fort Worth, TX · On-site

$45 - $50/hr

Data Engineer (Contract - Hybrid) Location: Irving, TX (Hybrid - 3 days onsite) Pay: $45-$50/hour Duration: Contract Work Authorization: US Citizen, Green Card Holder, or Authorized to Work in the U.

Addison Group

Data Engineer

Irving, TX · On-site

$100 - $120K/hr

Data Engineer -Pay Range: $100-$120K -Location: Dallas-Fort Worth, TX -Benefits: Medical, Dental, Vision, 401(k) We are looking to bring on a 3-6 year Data Engineer to our growing team. What we will ...

Addison Group

Data Engineer

Irving, TX · On-site

$100 - $120K/hr

Data Engineer -Pay Range: $100-$120K -Location: Dallas-Fort Worth, TX -Benefits: Medical, Dental, Vision, 401(k) We are looking to bring on a 3-6 year Data Engineer to our growing team. What we will ...

TekVivid

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Data Engineer Key Skills: Power BI, Azure Data Bricks, Python Plano, TX- In person only Job Summary: We are seeking a Data Engineer with strong experience with data wrangling and building enterprise ...

Kasmo Global

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer Duration - Contract Location - Dallas, TX Only Local Note: Second round interviews will be in person Top 3 mandatory skills and experience: SQL, Python, PySpark; Nice to have skills and ...

Bright Mind Solutions LLC

Data Engineer

Dallas, TX · 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 ...

EXL

Data Engineer

Dallas, TX

$113K - $136K/yr

Cloud Data Engineering Data Engineers design and build data systems and pipelines. Responsibilities include developing data processing workflows, optimizing data storage, and ensuring data accuracy.

Lorven Technologies

Data Engineer

Plano, TX · On-site

$109K - $131K/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 ...

Lorven Technologies

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 ...

Artius Solutions

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 ...

Cynet Systems

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 ...

My3Tech Inc

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 ...

Qode

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 ...

Qode

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 ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Addison, TX

Data Engineer information

See Addison, TX salary details

$43.1K

$125.6K

$171.8K

How much do data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data engineer in Addison, TX is $125,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $133,100.00 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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Addison, TX? The most popular types of Data Engineer jobs in Addison, TX are:
What are popular job titles related to Data Engineer jobs in Addison, TX? For Data Engineer jobs in Addison, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Addison, TX look for? The top searched job categories for Data Engineer jobs in Addison, TX are:
What cities near Addison, TX are hiring for Data Engineer jobs? Cities near Addison, TX with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Addison, TX as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,573 per year, or $60.4 per hour.
Data Engineer

Data Engineer

Programmers.io

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Posted 26 days ago

Job description

Role - Data Engineer

• 2–3 years of hands-on experience in Data Engineering
• Strong experience in Python and PySpark/Spark for large-scale data processing
• Experience working with Databricks and Delta Lake architecture
• Good understanding of SQL (PostgreSQL) and NoSQL databases (MongoDB, Redis)
• Exposure to Kafka Streaming or real-time data processing frameworks
• Experience with Azure or AWS cloud platforms
• Understanding of data partitioning, performance tuning, and in-memory optimizations
• Experience working in Linux/Unix environments
• Knowledge of CI/CD pipelines and production deployment practices
• Familiarity with REST APIs and application development concepts
• Understanding of software design patterns and system architecture
• Exposure to multi-user data platforms and access management
• GenAI exposure (preferred): understanding of LLM workflows, prompt versioning, evaluation frameworks