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Entry Data Engineer Jobs in Texas (NOW HIRING)

Sr Data Engineer

Fort Worth, TX · On-site

$109.60K - $131.60K/yr

Data engineers collaborate closely with data scientists, analysts, and business stakeholders to ... Entry, Filing, Holding up to 20lbs, Lifting up to 20lbs, Pushing and/or Pulling up to 20lbs ...

Sr Data Engineer

Fort Worth, TX · On-site

$109.60K - $131.60K/yr

Data engineers collaborate closely with data scientists, analysts, and business stakeholders to ... Entry, Filing, Holding up to 20lbs, Lifting up to 20lbs, Pushing and/or Pulling up to 20lbs ...

Principal Data Engineer Principal Data Engineer Location: Austin, TX Category: Technology ... Join us on our mission to empower more people to find their way home by breaking barriers to entry ...

MySQL Data Engineer

Austin, TX · On-site

$113.50K - $136.30K/yr

Our client, a restaurant-focused startup company, is looking for a Sr. MySQL Engineer to join their ... in a double entry ledger. While primarily working with MySQL, this person should also have ...

Join us on our mission to empower more people to find their way home by breaking barriers to entry ... We have an exciting opportunity for a motivated and energetic Principal Data Engineer to shape and ...

A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate ... Evaluate current processes around data entry, data QC, report distribution and provide ...

A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate ... Evaluate current processes around data entry, data QC, report distribution and provide ...

A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate ... Evaluate current processes around data entry, data QC, report distribution and provide ...

Senior Data Engineer

Houston, TX · On-site +1

$101.20K - $137.50K/yr

Job Summary The Data Engineer - Asset Management Analytics supports internal Asset Management and ... entry support, and controls for accounting data pipelines (preferred). * Familiarity with supported ...

Senior Data Engineer

Houston, TX

$101.20K - $137.50K/yr

Job Summary The Data Engineer - Asset Management Analytics supports internal Asset Management and ... entry support, and controls for accounting data pipelines (preferred). * Familiarity with supported ...

Data Entry Clerk

Houston, TX · On-site

$18.28/hr

Our core services include systems engineering technical advice, technical support, and ... Responsibilities The Data Entry Clerk is a permanent, full-time position supporting the overall ...

Our core services include systems engineering technical advice, technical support, and ... The Data Entry Clerk is a permanent, full-time position supporting the overall mission of the U.S.

Data Entry Clerk

Houston, TX · On-site

$18.28/hr

Our core services include systems engineering technical advice, technical support, and ... Responsibilities The Data Entry Clerk is a permanent, full-time position supporting the overall ...

Our core services include systems engineering technical advice, technical support, and ... Responsibilities The Data Entry Clerk is a permanent, full-time position supporting the overall ...

Our commitment to excellence, supported by Globus' renowned engineering, drives our mission to ... The role of the Data Entry Coordinator is to provide operational support to manufacturing by ...

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Entry Data Engineer information

See Texas salary details

$10

$18

$26

How much do entry data engineer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for entry data engineer in Texas is $18.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $20.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Data Engineer, and why are they important?

To thrive as an Entry Data Engineer, you need a solid understanding of programming (often Python or SQL), data structures, and database fundamentals, typically supported by a relevant degree in computer science or a related field. Familiarity with ETL tools, cloud data platforms (such as AWS or Azure), and version control systems like Git is commonly required. Strong analytical thinking, attention to detail, and effective communication help you collaborate with teams and troubleshoot data issues. These skills are crucial to ensure high-quality, efficient data pipelines and enable data-driven decision-making within organizations.

What are some common challenges faced by entry-level data engineers during their first year on the job?

Entry-level data engineers often encounter challenges such as learning new data pipeline tools, understanding complex legacy systems, and adapting to the fast pace of data-driven environments. Balancing requests from multiple stakeholders and ensuring data accuracy can also be demanding, especially when dealing with large datasets. However, most teams provide mentorship and training to help new hires get up to speed, and collaboration with experienced engineers is encouraged to support skill development.

What does an Entry Data Engineer do?

An Entry Data Engineer is responsible for assisting in the design, development, and maintenance of data pipelines and databases. They work with raw data, helping to clean, organize, and prepare it for analysis by more senior engineers or data scientists. Their tasks often include writing basic SQL queries, automating data collection processes, and supporting data quality initiatives. Entry-level data engineers typically work under the guidance of more experienced team members to learn best practices and develop their technical skills.

What is the difference between Entry Data Engineer vs Data Analyst?

AspectEntry Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; knowledge of SQL, Python, ETL toolsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting teams, data visualization tools
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, consulting, retail

Entry Data Engineers focus on building and maintaining data pipelines and infrastructure, while Data Analysts interpret data to generate insights. Both roles require SQL and data handling skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on analysis and reporting.

What cities in Texas are hiring for Entry Data Engineer jobs? Cities in Texas with the most Entry Data Engineer job openings:
Infographic showing various Entry Data Engineer job openings in Texas as of May 2026, with employment types broken down into 77% Full Time, 6% Temporary, and 17% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $37,736 per year, or $18.1 per hour.
Sr Data Engineer

$109.60K - $131.60K/yr

Full-time

Posted 15 days ago


Job description

Position Summary
The Senior Data Engineer designs, builds, and maintains the scalable cloud-based infrastructure required to collect, process, and store large volumes of data used for analytics and decision-making. They develop and manage cloud-based data systems such as data lakes, data warehouses, and ETL/ELT pipelines, ensuring data flows reliably from diverse sources into centralized platforms. They are responsible for cleaning, transforming, and validating data to ensure high levels of quality, consistency, and security. Data engineers collaborate closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable, performance-optimized solutions. They also monitor, troubleshoot, and continuously improve data infrastructure to support current and future business needs. May coach, review and delegate work to lower-level professionals, as needed.
Responsibilities
  • Cloud Migration Strategy: Design and execute end-to-end migration strategies to move on-premises SQL Server workloads to Azure, Fabric, Databricks or Snowflake.
  • Pipeline Development: Build and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF), Databricks (PySpark), and Microsoft Fabric.
  • Platform Integration: Manage cross-platform data flows, ensuring seamless integration between Snowflake/Databricks/Fabric warehouses and the on-premises SQL Server.
  • Architecture Design: Implement Medallion Architecture (Bronze/Silver/Gold) and Lakehouse patterns to support both batch and real-time analytics.
  • SQL Server: Build and support complex queries, performance tuning (indexes, query plans), partitioning, and large-volume ETL workloads

Being courteous, cooperative, and helpful are conditions of employment with Range. Additionally, each item listed below is an essential function of this position.
  • Regular and timely attendance
  • Deal professionally and respectfully with coworkers, management and others
  • Read, comprehend and follow applicable policies, procedures and directions
  • Work with others as part of a team to ensure efficient operations and enhanced productivity
  • Safeguard confidential information and disclose only to those in "need-to-know" positions
  • Safeguard and enhance Range's assets and business interests
  • Consistently perform all job duties at an acceptable level

Minimum Education - BS -- Computer Information Technology, BS- Management Information Systems OR BBA -- Business Information Systems, or equivalent work experience.
Minimum Experience - 7+ years' experience preferred, experience designing, building, and operating production-grade data pipelines and platforms with expertise in data warehousing, cloud data services, and data modeling practices
Professional Certifications - Fabric, Databricks, Snowflake preferred
Technical Skills
  • Database Mastery: Expert-level SQL Server and T-SQL knowledge
  • Cloud Platforms: Extensive hands-on experience with the Azure data stack (Data Lake Gen2, Synapse, ADF) and Microsoft Fabric.
  • Advanced Warehousing: Proficiency in Snowflake (micro-partitioning, clustering, Snowpipe) and Databricks (Unity Catalog, Delta Lake).
  • Languages: Strong coding skills in Python and PySpark for complex data transformations.
  • DevOps & Automation: Experience with CI/CD pipelines via Azure DevOps or GitHub Actions

Conditions of Employment
  • Travel - Occasional
  • Work Conditions - Office (see footnote)
  • Flextime Eligible
  • Telecommuting Eligible (see footnote)

Physical Requirement Considerations (see footnote) -- Bending, Carrying up to 20lbs, Data Entry, Filing, Holding up to 20lbs, Lifting up to 20lbs, Pushing and/or Pulling up to 20lbs, Sitting, Sorting, Standing, Typing, Vision, Walking, Writing (by hand)
Working Conditions: Working conditions vary based on the location of the work performed. Work performed in an office is typically in a climate controlled indoor setting. Work performed in the field may require the employee to be subjected to seasonal field conditions ranging from normal to extreme temperature and weather conditions and employees must be able to work in remote, isolated areas.
Physical Requirement Considerations: The physical requirements that are defined above are the most common requirements for this role. Exact physical requirements may vary for many reasons, including but not limited to physical location, working conditions, and responsibilities not specifically listed in this description. Final determination of physical requirements will be made by the supervisor.
Telecommuting Eligibility: Jobs with responsibilities primarily done via computer and/or phone successfully may be considered eligible to telecommute. If a job is eligible for telecommuting but an individual employee's performance is not satisfactory, the employee may be required to work in the office until the work performance has developed to a satisfactory level. Telecommuting is not an entitlement, and it does not change the terms and conditions of employment with the Company.