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Data Engineer Jobs in Addison, TX (NOW HIRING)

Data Engineer

North Richland Hills, TX · On-site

$90K - $110K/yr

Pay: $90,000.00 - $110,000.00 per year Data Engineer (2-3 Years Experience) Location: North Richland Hills, TX (On-site) Salary Range: $90,000-$110,000 (based on experience) Company: Ragle Inc. About ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Data Engineer (AI & Cloud Platforms) We are seeking a Data Engineer to support the design, development, and optimization of modern data platforms across cloud and AI-driven environments. This role ...

Pay: $90,000.00 - $110,000.00 per year Data Engineer (2-3 Years Experience) Location: North Richland Hills, TX (On-site) Salary Range: $90,000-$110,000 (based on experience) Company: Ragle Inc. About ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa Independent ...

Data Engineer

Dallas, TX · On-site +1

$100K - $120K/yr

Data Engineer REPORTS TO: Director, Engineering SUPERVISES: None JOB CLASS: Exempt Purpose: Data Engineer II will take a lead position in designing and implementing scalable data solutions. You will ...

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Pyspark Data Engineer Location: Irving TX Fulltime Time Descriptions: Must Have Technical/Functional Skills As a Data Engineer, you will be responsible for designing, developing, and maintaining data ...

New

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer LOCATION:Dallas TX Duration: 6 to 12+ Months Rate: DOE Note: Skills * Demonstrate knowledge of full software development life cycle with experience building high volume, scalable ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer LOCATION:Dallas TX Duration: 6 to 12+ Months. Description: Design, develop and build database to power Big Data analytical systems. Design data integration pipeline architecture and ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Engineering ---|--- POSITION: | Data Engineer REPORTS TO: | Director, Engineering SUPERVISES: | None JOB CLASS: | Exempt Purpose : Data Engineer II will take a lead position in designing and ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Role Summary Loopback Health is seeking an innovative and team-oriented Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining scalable data ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role Summary Loopback Health is seeking an innovative and team-oriented Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining scalable data ...

Data Engineer Location : Seattle, WA / Dallas, TX / Plano, TX Duration : 6 months + possible extension Rate Range: $35 - $40/hour on W2 (All inclusive) Introduction We are seeking a skilled Cloud ...

Data Engineer

Frisco, TX · 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

Dallas, TX · 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 ...

Sr. Data Engineer

Dallas, TX · 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. · Drive data ...

Position: Data Engineer Location:Frisco, TX, Overland Park, KS Duration:6+ Months Work Type:Onsite Payrate:$50.00 - 50.00/hr. Overview: TekWissen is a global workforce management provider ...

Data Engineer

Dallas, TX

$113K - $136K/yr

DPP is seeking a Data Engineer for a position with our client, a leading global investment firm. Work location : Onsite in Dallas, TX Duration : 6 months Term : W2 position Position summary:

Data Engineer

Plano, TX

$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 ...

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 ...

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Showing results 1-20

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.
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:
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

Ragle Inc

North Richland Hills, TX • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago


Job description

Pay: $90,000.00 - $110,000.00 per year
Job description:
Data Engineer (2-3 Years Experience)
Location: North Richland Hills, TX (On-site)
Salary Range: $90,000-$110,000 (based on experience)
Company: Ragle Inc.
About the Role
Ragle Inc. is expanding its Data & Analytics team and is seeking a hands-on Data Engineer with 2-3 years of industry experience to help centralize and modernize operational, accounting, and project data.
In this role, you will design and operate production-grade data pipelines that connect our in-house platform, accounting systems, telematics, scheduling, estimating tools, Smartsheet, and third-party APIs. These pipelines will power analytics used daily by Operations, Accounting, Estimating, and Executive Leadership.
What You'll Do
  • Design, build, and maintain reliable data pipelines using SQL and Python
  • Ingest data from Azure SQL databases, third-party APIs, and structured file sources (CSV/Excel)
  • Help establish and maintain a centralized analytics data model (fact and dimension tables)
  • Partner with analysts to support Power BI semantic models and improve dataset performance
  • Implement data quality checks, logging, monitoring, and alerting
  • Collaborate with business stakeholders to translate workflows into robust data products
  • Contribute to version control, deployment, and data engineering standards (Git, environments)
  • Support migrations away from manual Excel workflows toward automated, governed datasets

Key Responsibilities
  • Build ETL/ELT processes integrating operational, accounting/payroll, and fleet telematics data
  • Optimize SQL queries, views, and table structures for analytics performance and incremental loads
  • Maintain documentation for pipelines, datasets, schemas, and data contracts
  • Assist with access control, governance, and data security best practices
  • Troubleshoot refresh failures and performance bottlenecks across the data stack

Required Qualifications
  • 2-3 years of professional experience as a Data Engineer or Analytics Engineer
  • Strong SQL skills (complex joins, CTEs, window functions, performance tuning)
  • Hands-on Python experience for data processing (pandas, standard libraries)
  • Experience with relational databases (SQL Server / Azure SQL, Postgres, or similar)
  • Experience building and maintaining production data pipelines
  • Understanding of data modeling concepts (star schema, keys, SCD basics)
  • Familiarity with Power BI or similar BI tools
  • Comfortable working directly with business stakeholders

Preferred Qualifications
  • Azure experience (Azure SQL, Data Factory, or Fabric Data Pipelines)
  • REST API ingestion experience
  • ERP or operational systems integration exposure
  • Git-based workflows and basic CI/CD
  • Construction or asset-heavy industry experience
  • Desire to grow into Senior Data Engineer or Analytics Lead roles

What Success Looks Like
  • Stable, documented, and trusted data pipelines
  • Reusable datasets replacing manual Excel workflows
  • Analytics relied upon for daily decision-making
  • Smooth onboarding of new systems and data sources
  • A scalable data platform supporting company growth

Why Join Ragle Inc.
  • Real operational data with direct business impact
  • High ownership and production responsibility
  • Small team with leadership visibility
  • Professional development and certification support

Compensation & Benefits
Competitive salary ($90,000-$110,000 based on experience), plus health, dental, and vision insurance, paid time off and holidays, and professional development support.
Additional Information
Ragle Inc. is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace and make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status in accordance with applicable laws.