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Data Engineer Jobs in Addison, TX (NOW HIRING)

Raas Infotek LLC

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Senior Data Engineer Location: Plano, TX Experience Required: 10+ Years Job Summary We are seeking a highly skilled Senior Data Engineer with 10+ years of experience in designing, developing, and ...

New

Cain Watters & Associates, LLC

Data Engineer

Frisco, TX · On-site

$116K - $135K/yr

The Data Engineer will enable trusted, AI-ready data foundations and support client- and vendor-facing technology solutions that are critical to business operations, growth, and service delivery.

GEI Consultants

Data Engineer

Dallas, TX

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Rapinno Tech

Data Engineer

Plano, TX

$109K - $131K/yr

Data Engineer Location: Plano, TX Duration: 06+ Months Contract Need minimum 10+ years of experience  Data Engineering skill set with good experience in Python, Pyspark or Scala. Should have ...

Mastech Digital

Data Engineer

Roanoke, TX · Remote

$65/hr

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 ...

Programmers.io

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 ...

GEI Consultants

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Zortech Solutions

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

: Data Engineer Location: Irving, TX 12+ Months Only W2 Python/Pyspark/sql candidate. Cloud nice to have. Need experience building data pipelines Data engineer with experience in building, tuning ...

Ruri Software Technologies LLC

Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Data Engineer Duration: 8+ months Location: Dallas,TX (Hybrid) Skill set: Java, Hyve, Hbase, API, Spark (Data Engineer) * You have 8-10 years of relevant software development experience * You have ...

Wondr Health

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 ...

Sparks Group

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 ...

Vings Technologies

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Location: Dallas, TX Contract: 6-9+ months. Experience: 10+ years : We are seeking a highly experienced Database Architect / MongoDB Data Platform Architect to lead the design and ...

New

IT America Inc

"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 ...

Tata Consultancy Service Limited

Data Engineer

Addison, TX · On-site

$95K - $120K/yr

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

Ragle Inc

Data Engineer

North Richland Hills, TX · On-site

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 ...

Siri InfoSolutions Inc

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:

Ragle Inc

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 ...

Staffingine LLC

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 ...

PBK

Data Engineer

Dallas, TX

$113K - $136K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader ...

DP Professionals (DPP)

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Data Engineer will support the technical execution of a large-scale system migration, focusing on building infrastructure and coordinating data-related efforts. Responsibilities : • Design ...

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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 Jul 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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
Data Engineer

Data Engineer

Raas Infotek LLC

Plano, TX • On-site

$110K - $132K/yr

Other

Posted 2 days ago

New

Job description

Job Title: Senior Data Engineer

Location: Plano, TX

Experience Required: 10+ Years

< data-start="119" data-end="135">Job Summary

We are seeking a highly skilled Senior Data Engineer with 10+ years of experience in designing, developing, and maintaining enterprise-scale data solutions. The ideal candidate will have strong expertise in data warehousing, ETL/ELT development, cloud platforms, big data technologies, and data modeling. The candidate will play a key role in building scalable data pipelines and supporting analytics, reporting, and AI/ML initiatives.

Key Responsibilities
  • Design, develop, and optimize large-scale data pipelines and ETL/ELT processes.
  • Build and maintain data warehouses, data lakes, and lakehouse architectures.
  • Develop scalable solutions for batch and real-time data processing.
  • Collaborate with business stakeholders, architects, data scientists, and analysts to gather requirements and deliver data solutions.
  • Implement data quality, governance, security, and compliance standards.
  • Optimize database performance, query tuning, and data processing workflows.
  • Develop and maintain data models, metadata, and technical documentation.
  • Monitor and troubleshoot production data pipelines and resolve performance bottlenecks.
  • Mentor junior engineers and promote best practices in data engineering.
  • Support cloud migration and modernization initiatives.
Required Skills
  • Strong expertise in SQL and Python.
  • Hands-on experience with Apache Spark, Kafka, Hadoop, and distributed data processing frameworks.
  • Extensive experience with ETL/ELT tools such as Informatica, Talend, SSIS, Airflow, or dbt.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Strong knowledge of Snowflake, Redshift, BigQuery, Synapse, or similar data warehouse technologies.
  • Expertise in data modeling, data architecture, and database design.
  • Experience with real-time streaming and event-driven architectures.
  • Knowledge of CI/CD pipelines, Git, and DevOps practices.
  • Strong understanding of data governance, security, and compliance standards.
Preferred Qualifications
  • Experience with Databricks and Delta Lake.
  • Exposure to AI/ML data pipelines and MLOps.
  • Experience with Terraform or Infrastructure as Code (IaC).
  • Cloud certifications (AWS, Azure, or Google Cloud Platform).
  • Experience working in Agile/Scrum environments.
Education
  • Bachelor''s or Master''s degree in Computer Science, Information Technology, Engineering, or a related field.

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