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Data Engineer Jobs in Addison, TX (NOW HIRING)

Programmers.io

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 ...

Tata Consultancy Service Limited

Data Engineer

Plano, TX · On-site

$100K - $120K/yr

Data Engineer Must Have Technical/Functional Skills Snowflake, DBT Roles & Responsibilities • Design and build data pipelines and models using Snowflake and dbt • Lead a team, provide technical ...

Tata Consultancy Services

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Tata Consultancy Services is seeking a Data Engineer to design and build data pipelines and models. The role involves leading a team, managing client interactions, ensuring data quality, and ...

Cushman & Wakefield

Data Engineer

Dallas, TX · 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 ...

Cushman & Wakefield

Data Engineer

Dallas, TX · 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 ...

PBK

Data Engineer

Dallas, TX · On-site

$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 ...

Cushman & Wakefield

Data Engineer

Dallas, TX · 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 ...

Cushman & Wakefield

Data Engineer

Dallas, TX · 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 ...

Protagona

Data Engineer

Dallas, TX · On-site +1

$115K - $130K/yr

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 ...

Ascentt

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 ...

Ruri Software Technologies LLC

Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Data Engineer Location:Dallas ,TX Candidate who has significant experience in building data lakes on AWS with the AWS services listed below. Candidate should also be able to independently analyze ...

IT America Inc

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 ...

Protagona

Data Engineer

Dallas, TX · Remote

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 ...

Caeus

Data Engineer

Arlington, TX

$103K - $123K/yr

Summary We are seeking an experienced Data Engineer to join our data architecture team and help expand and optimize our modern data lakehouse environment. This role is ideal for someone who thrives ...

H R PUNDITS INC

Data Engineer

Carrollton, TX · On-site

$120K/yr

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 ...

Iapetus Infrastructure Services

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer Who we are Iapetus Infrastructure oversees a portfolio of specialized field services companies, operating under one IIS umbrella. At IIS, our strength lies in the connective tissue that ...

Blue Learning

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 ...

Iapetus Holdings LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Who we are Iapetus Infrastructure oversees a portfolio of specialized field services companies, operating under one IIS umbrella. At IIS, our strength lies in the connective tissue that ...

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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
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Data Engineer jobs near you
Sr. Data Engineer

Sr. Data Engineer

Programmers.io

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Re-posted 16 days ago

Job description

Note:

  • We need profiles who are local to Dallas, TX and go for a in person interview.
  • Candidate will have to take Berribot assessment.
  • Candidate should be on PIO payroll / W2.

 

Job Description: 
· Provide product technical leadership for teams to both analyze and take charge of long-term opportunities, designing a cutting-edge data solution and help with core development when needed.
· Act as Product Technical Lead.
· Act as subject matter expert for data domain within the IT organization and work with business to author self-service data products
· Collaborate with leaders, business analysts, project managers, IT architects, technical leads, and other developers, along with internal customers and cross functional teams to implement data strategy
· Design and build data engineering pipeline frameworks while ensuring these are reusable, scalable, efficient, maintainable, gracefully recover from failures, reprocessing the data should be easy.
· Drive data quality, best practices, coding standards, Test Driven Development, identifying single source of truth for data across systems and Quality Analytics (Mean Time to Recover, Mean Time between Failures, Patterns causing failures).
· Utilize data pipelines to provide actionable insights into data quality and product performance.
· Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
· Contribute to the continuous improvement of data engineering across the enterprise by researching industry best practices and determining best usage of specific cloud services and tools.
· Work with data squads to ensure data products are designed with privacy and compliance baked in (Privacy by design).
· Work with product teams to help prioritize team objectives and initiatives/team features.
· Conduct road shows on the data products across the organization.
· Advocate the agile process and test-driven development, using data engineering development tools to analyze, model, design, construct and test reusable.


Minimum Qualifications – Education & Prior Job Experience
· Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
· 9+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale applications in data analytics, warehousing, and data engineering.
· Working experience in data analytics (data wrangling, mining, integration, analysis, visualization, data modeling, analysis/analytics, and reporting).

Top required experience:
Apache Spark, Scala, Azure Databricks
Nice to have skills:
SQL; CICD
Should have at least 5 years of experience in optimizing Spark jobs for performance and cost-efficiency using advanced techniques such as partitioning, caching, cluster configuration tuning, and troubleshooting bottlenecks.
A great candidate must have extensive hands-on and tuning experiences and able to independent research to solve challenge problem. Proactive approach.