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Data Engineer Jobs in Allen, TX (NOW HIRING)

Data Engineer

Addison, TX · Hybrid

$110K - $133K/yr

he Data Engineer will play a key role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data ...

Data Engineer

Addison, TX · Hybrid

$110K - $133K/yr

Overview he Data Engineer will play a key role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data ...

Data Engineer

Addison, TX · Hybrid

$110K - $133K/yr

Overview he Data Engineer will play a key role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data ...

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 ...

Data Engineer

Addison, TX · On-site

$110K - $133K/yr

Overview he Data Engineer will play a key role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data ...

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

Farmers Branch, TX · On-site

$145K - $170K/yr

We are looking for a Data Engineer to join our team in Texas. In this role, you will create and enhance modern cloud data platforms that power reporting, analytics, and intelligent business solutions.

New

Data Engineer

Irving, TX · On-site

$108K - $130K/yr

Bachelor's degree in data engineering or at least 8+ years of comparable professional experience in a data engineering role. Master's degree preferred. * Prefer 5+ years' experience working as a data ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Tenet Employment, Inc. seeks Data Engineers in Dallas, TX. Req.: Bach. in Comp. Sci., Comp. Engr., IT, or related, or foreign equiv., and 2 yrs. of exp. Alt. Req .: Master's in Comp. Sci., Comp ...

New

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Tenet Employment, Inc. seeks Data Engineers in Dallas, TX. Req.: Bach. in Comp. Sci., Comp. Engr., IT, or related, or foreign equiv., and 2 yrs. of exp. Alt. Req .: Master's in Comp. Sci., Comp ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Tenet Employment, Inc. seeks Data Engineers in Dallas, TX. Req.: Bach. in Comp. Sci., Comp. Engr., IT, or related, or foreign equiv., and 2 yrs. of exp. Alt. Req .: Master's in Comp. Sci., Comp ...

New

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

Murphy, TX · On-site

$109K - $131K/yr

We had Interview Scheduled but candidate backed out at last moment DATA ENGINEER Location: Plano, TX | Hybrid Option Duration: 6+ Month Contract Hybrid/Remote Requirement: Hybrid Initial Term of ...

New

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

Dallas, TX · On-site

$113K - $136K/yr

Data Quality Engineer Location : Dallas, TX (Hybrid - 3 days onsite) Job Type: Long-term Contract Work Authorization : Open - W2 opportunity Interview Process: In-person (Client interview- Mandatory ...

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

Murphy, TX · On-site

$109K - $131K/yr

We had Interview Scheduled but candidate backed out at last moment DATA ENGINEER Location: Plano, TX | Hybrid Option Duration: 6+ Month Contract Hybrid/Remote Requirement: Hybrid Initial Term of ...

New

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 ...

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 ...

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 ...

Showing results 41-60

Data Engineer information

See Allen, TX salary details

$41.4K

$120.7K

$165.1K

How much do data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer in Allen, TX is $120,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $127,900.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Allen, TX?

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

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

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

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

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

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

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

Infographic showing various Data Engineer job openings in Allen, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $120,659 per year, or $58 per hour.

$110K - $133K/yr

Full-time

Re-posted 5 days ago


Job description

he Data Engineer will play a key role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data solutions, collaborating with other engineers,and across different functional groups to ensure strategic data initiatives are delivered efficiently and effectively. This individual will have a strong track record in building robust Database solutions using Microsoft SQL Server and Azure technologies. Experience in healthcare data domains is highly desired.

Strong expertise in healthcare data domains is highly preferred.

NOTE: THIS IS A HYBRID ROLE. MUST BE WILLING TO COMMUTE TO THE ADDISON, TX.  OFFICE 3 DAYS PER WEEK!


ROLE AND RESPONSIBILITIES

The Data Engineer will play a key role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data solutions, collaborating with other engineers, and across different functional groups to ensure strategic data initiatives are delivered efficiently and effectively. This individual will have a strong track record in building robust Database solutions using Microsoft SQL Server and Azure technologies. Experience in healthcare data domains is highly desired.

PRIMARY DUTIES

  • Integrate data from Clinical/Healthcare Practice Management Systems, Electronic Medical Record Systems (EMRs), HR systems, Accounting, Customer Relationship Management systems (CRM), and other enterprise systems.
  • Develop scalable data platforms and database architectures supporting multiple business lines.
  • Design and optimize complex ETL/ELT data pipelines using Azure Data Factory, other Azure services and python, ensuring high reliability and performance.
  • Orchestrate pipelines that leverage AI/LLMs for data extraction from various documents and sources.
  • Drive initiatives to capture all necessary data and orchestrate the development of sustainable enterprise-grade databases.
  • Conduct advanced data profiling, cleansing, and transformation for analytics and reporting teams.
  • Drive implementation of Master Data Management (MDM) strategies to ensure data consistency and integrity.
  • Identify process improvement opportunities and spearhead automation to reduce delivery time and increase quality.
  • Establish and maintain comprehensive data lineage, monitoring, and operational tracking systems.
  • Provide hands-on support to other engineers and contribute to a culture of knowledge sharing and continuous improvement.
  • Collaborate closely with stakeholders to gather evolving data requirements and translate them into scalable technical solutions.
  • Maintain high standards for code quality through documentation, source control, code reviews, and rigorous testing practices.
  • Identify integration gaps, recommend solutions, and ensure continuous improvement of data processes.
  • Establish and enforce best practices for data engineering and integration across the team.
  • Explore and evaluate emerging Azure features, leading proofs of concept to assess fit for purpose.

MINIMUM QUALIFICATIONS AND REQUIREMENTS

  • 4+ years of experience in database and ETL development roles.
  • 2+ years of deep hands-on experience with Azure Data Factory (ADF).
  • 1+ years of experience with healthcare and/or financial data or other highly regulated vertical segments.
  • 1+ years of experience using python
  • Good working knowledge of Azure ecosystem tools.
  • Proficiency in T-SQL and SQL Server.
  • Strong grasp of data modeling, indexing, and schema design principles.
  • Proven ability to manage multiple priorities and drive solutions from conception to production.
  • Effective collaborator and communicator, capable of interfacing with all stakeholders.
  • Bachelor's degree or higher.

PREFERRED EXPERIENCE

  • Experience working with data integration related to Healthcare EDI files, such as 835, 837, etc.
  • Experience working on data extraction from documents using AI/LLMs.

NOTE: This position follows a hybrid work model with a minimum of 3 days per week in our Addison, TX office.