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Data Engineer 1 Jobs in Texas (NOW HIRING)

Data Engineer

Addison, TX · Hybrid

$110K - $133K/yr

Overview he Data Engineer will play a key role in acquiring, transforming, and integrating data ... ADF). * 1+ years of experience with healthcare and/or financial data or other highly regulated ...

Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Data Engineer Location:Dallas ,TX Candidate who has significant experience in building data lakes ... VG consumers. 1.Hands on experience in Amazon services such as S3,Lambda, ECS, Glue, Kinesis ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Strong programming experience in one or more general-purpose languages such as Go, Java, C++, Python, or JavaScript, along with strong SQL skills. * Strong understanding of data structures ...

Data Engineer

Austin, TX

$144K - $263K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable ... one part of our total compensation package and is determined within a range. This provides the ...

Data Engineer

Austin, TX

$137K - $250K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable ... one part of our total compensation package and is determined within a range. This provides the ...

Data Engineer

Dallas, TX · On-site +1

$63K - $124K/yr

Bachelor's Degree or 4+ additional years of equivalent experience. * 3+ years of related experience in IT data engineering and analysis. * 1+ years of experience with data solutions leveraging SQL ...

Data Engineer

Austin, TX

$137K - $250K/yr

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable ... one part of our total compensation package and is determined within a range. This provides the ...

Data Engineer

Sherman, TX · On-site

$102K - $122K/yr

Demonstrated proficiency in one or more programming languages such as Python, Java, C++, etc. * Proficiency with SQL queries. * Experience in data visualization platforms * Ability to work in a clean ...

Data Engineer

Sherman, TX · On-site

$102K - $122K/yr

Demonstrated proficiency in one or more programming languages such as Python, Java, C++, etc. * Proficiency with SQL queries. * Experience in data visualization platforms * Ability to work in a clean ...

Data Engineer Journeyman

San Antonio, TX · On-site

$98K - $118K/yr

Experience with one or more major cloud platforms (AWS, Azure, or Google Cloud) and their native data engineering services (e.g., AWS Glue, Azure Data Factory, BigQuery, or similar). * Familiarity ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Leads one or more data projects and support with internal and external resources. Coach and mentor junior data engineers. * Stay abreast of emerging technologies and methodologies in data engineering ...

Data Engineer

Denton, TX · On-site

$107K - $128K/yr

Master's degree preferred. * 5+ years of professional experience in a data engineering or similar role. * 1+ years of hands-on experience with AWS and related services (e.g., EC2, ECS, S3, SNS ...

Data Engineer

Carrollton, TX · On-site

$120K/yr

Day 1 Onsite at customer location Automotive domain Must. Job Functions / Responsibilities · ... data engineering role · 2+ years of experience with AWS and related services (e.g., EC2, S3, SNS ...

Data Engineer

Lewisville, TX · On-site

$75K - $93K/yr

Experience: 1-3 years in data engineering, analytics engineering, or a data-heavy technical role. * Strong SQL Skills: Proficiency in writing, debugging, and optimizing complex queries and stored ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

Required : • Graduation Year: 2024, 2025 or 2026 • GPA: 3.5 • Experience: 1+ years • ... data engineering or software engineering experience, including internships and academic project ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

Required : • Graduation Year: 2024, 2025 or 2026 • GPA: 3.5 • Experience: 1+ years • ... data engineering or software engineering experience, including internships and academic project ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Strong programming experience in one or more general-purpose languages such as Go, Java, C++, Python, or JavaScript, along with strong SQL skills. * Strong understanding of data structures ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Interview Process 4 rounds minimum At least 1-2 panel interviews (1 hour each) Additional round may ... We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable ...

Showing results 41-60

Data Engineer 1 information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data engineer 1 jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer 1 in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that collect, store, and process large volumes of data. They develop data pipelines, ensure data quality and integrity, and optimize data workflows for analytics and business intelligence. Data Engineers work closely with data scientists, analysts, and other stakeholders to make data accessible, reliable, and usable for various organizational needs.

What are the key skills and qualifications needed to thrive as a data engineer 1, and why are they important?

To thrive as a Data Engineer 1, you need a solid understanding of database management, SQL, data modeling, and a bachelor's degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, and big data frameworks such as Hadoop or Spark is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work efficiently with teams and handle complex data challenges. These skills and qualities are crucial for building reliable data pipelines and supporting data-driven decision making within organizations.

What are some common challenges faced by entry-level data engineers, and how can they be addressed?

Entry-level Data Engineers often encounter challenges such as managing large volumes of data, learning new data pipeline tools, and adapting to evolving data architectures. Collaborating effectively with data scientists and analysts can also be challenging due to differing technical backgrounds and priorities. To overcome these, it's helpful to seek mentorship from experienced team members, proactively ask questions, and regularly participate in code reviews. Familiarizing yourself with the company's data infrastructure and staying updated on best practices can also ease the transition into the role.

What is the difference between Data Engineer 1 vs Data Engineer 2?

AspectData Engineer 1Data Engineer 2
Required CredentialsBachelor's degree in CS, IT, or related field; some experience with SQL, Python, and cloud platformsSimilar credentials, often with 1-3 years of experience and additional certifications
Work EnvironmentEntry-level role, often in team-based projects, supporting data pipelines and infrastructureMid-level role with increased responsibilities, handling complex data systems and optimization
Employer & Industry UsageCommon in tech, finance, healthcare, and retail industriesSimilar industries, with a focus on scaling data solutions and performance

Data Engineer 1 typically represents an entry-level position focused on supporting data infrastructure, while Data Engineer 2 involves more responsibility and experience. Both roles share similar credentials and industry usage, but Data Engineer 2 handles more complex tasks and system optimization.

Infographic showing various Data Engineer 1 job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

$110K - $133K/yr

Full-time

Re-posted 10 days ago


Job description

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 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!

Responsibilities

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.
Qualifications

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.

Employment Type: FULL_TIME