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Sql Developer Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Houston, TX

$109K - $131K/yr

... and SQL development Experience designing and building scalable ETL/ELT data pipelines Strong ... DevOps best practices Proven experience designing enterprise-scale data platforms and pipelines ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Expert-level Python and SQL development * Experience designing and building scalable ETL/ELT data ... Experience with CI/CD, Git, and DevOps best practices * Proven experience designing enterprise ...

Associate Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Exposure to Agile and DevOps practices. Required Skills: · Basic experience with Azure Data Factory or Azure Databricks. * SQL, Python. * PySpark * Familiarity with CI/CD tools (e.g., Azure DevOps, ...

3 days onsite, Houston TX Senior DB2 SQL Data Engineer We are seeking a Senior DB2 SQL Data ... Utilize IBM iSeries tools such as Aldon, RDI (Rational Developer for i), and ACS (Access Client ...

SQL Developer

Dallas, TX · On-site

$44.75 - $61.25/hr

... applications data analysis; database modeling; build databases, tables and cubes; develop ETL ... The applications will be developed using Microsoft SQL Server 2008 and Microsoft Visual Studio 2008.

Perform hands-on ETL SSRS / SSIS Development, adoption of modern software engineering & delivery practices * Ensure clear documentation of created/modified functionality * You will also be ...

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

... SQL queries for data extraction, transformation, and analysis. · Develop Python scripts for data ... Engineers, Software Engineers, Data Analysts, and business teams. · Assist with cloud-based data ...

New

SQL Developer

Dallas, TX · On-site

$44.75 - $61.25/hr

... applications data analysis; database modeling; build databases, tables and cubes; develop ETL ... SQL Server 2008 Integration Services (SSIS) Relational Database Management Systems (RDMS) Reporting ...

Required Qualifications 4+ years of experience in SQL development working with OLTP, Data Warehouse, and Big Data environments. 4+ years of experience in a Data Engineer, Data Analyst, or SQL ...

Company Description The SQL Server Developer will be focused mainly on developing SQL Server ... Knowledge of developing data-driven .NET applications using C#, ORMs, ADO.NET * SQL Server ...

Net/SQL Developer Needed - The Client is ONLY Considering Local to Austin, TX, Must interview ... Build and maintain ETL and data movement pipelines * Optimize SQL queries and stored procedures for ...

SQL Software Developer Position Type: Contract Location: Remote, United States The advent of ... As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered ...

SQL Software Developer Position Type: Contract Location: Remote, United States The advent of ... As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered ...

PL/SQL Developer III

Richardson, TX

$46 - $58/hr

PL/SQL Developer III Location : Richardson, TX 75091 Duration : 6 - 12 Months Number Of Openings: 2 ... Develops and supports back-end data processing in PL/SQL. * Supports existing applications using ...

PL/SQL Developer III

Richardson, TX · On-site

$46 - $58/hr

PL/SQL Developer III Location : Richardson, TX 75091 Duration : 6 - 12 Months Number Of Openings: 2 ... Develops and supports back-end data processing in PL/SQL. * Supports existing applications using ...

Oracle PL/SQL Developer

Westlake, TX · On-site

$48.75 - $61.50/hr

The Expertise and Skills You Bring * 8+ years of hands-on experience as an Oracle PL/SQL developer ... Strong command of financial data models, workflows, and industry terminology * Advanced Oracle ...

... U + SQL-PL\SQL Experience • Basic knowledge of scripting/programming (Shell or Java - added ... data flows • Familiarity with ticketing tools such as JIRA Soft Skills • Excellent ...

Showing results 41-60

Sql Developer Data Engineer information

What is the difference between Sql Developer Data Engineer vs Data Analyst?

AspectSql Developer Data EngineerData Analyst
Required SkillsSQL, ETL, data modeling, programming (Python, Java)Data visualization, statistical analysis, SQL
CertificationsSQL certifications, cloud platform certificationsData analysis or visualization certifications
Work EnvironmentData pipelines, database management, cloud platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

The Sql Developer Data Engineer focuses on building and maintaining data pipelines, databases, and infrastructure, often working with large-scale data systems. Data Analysts interpret data, create reports, and provide insights for decision-making. While both roles require SQL skills, Data Engineers typically have more programming and system architecture responsibilities, whereas Data Analysts focus on data interpretation and visualization.

What is a SQL developer data engineer?

SQL Developer Data Engineers are technology professionals who design, develop, and maintain databases and data pipelines using SQL and related tools. They are responsible for extracting, transforming, and loading (ETL) data to ensure it is accessible, reliable, and optimized for analysis and reporting. These engineers collaborate with other IT and business teams to support data-driven decision-making, improve data quality, and implement data security measures. Their work is crucial for organizations that rely on large amounts of data for their operations and analytics.

What are the key skills and qualifications needed to thrive as an SQL developer data engineer, and why are they important?

To thrive as an SQL Developer/Data Engineer, you need strong proficiency in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools, data warehousing solutions, and platforms like Microsoft SQL Server, Oracle, or cloud-based databases, as well as certifications such as Microsoft Certified: Azure Data Engineer Associate, are often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and translating business requirements into technical solutions. These skills and qualities enable efficient data management, reliable data pipelines, and actionable insights that drive business decisions.

How do SQL developer data engineers typically collaborate with data analysts and other stakeholders within a company?

SQL Developer Data Engineers frequently work closely with data analysts, business intelligence teams, and other stakeholders to ensure data is accessible, reliable, and optimized for analysis. They are responsible for designing and maintaining the data infrastructure, writing complex queries, and translating business requirements into technical solutions. Regular meetings and clear communication are essential, as they often need to explain technical concepts to non-technical team members and incorporate feedback to refine data models or reporting systems. This collaborative environment enables efficient data-driven decision-making across the organization.
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Infographic showing various Sql Developer Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

$109K - $131K/yr

Full-time

Posted 28 days ago


Job description

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position.

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." Job Title: Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning solutions. The ideal candidate can work independently, solve complex technical problems, provide technical leadership, mentor engineers, and partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise-scale data solutions

Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience) 10+ years of Data Engineering experience Expert-level Python and SQL development Experience designing and building scalable ETL/ELT data pipelines Strong experience with AWS, Azure, or GCP Experience with distributed data processing technologies such as Spark or Databricks Experience with data modeling, data architecture, and data integration Experience with orchestration tools such as Airflow, Azure Data Factory (ADF), or AWS Glue Experience working with both structured and unstructured data Experience with CI/CD, Git, and DevOps best practices Proven experience designing enterprise-scale data platforms and pipelines Experience building data solutions supporting analytics, AI, or machine learning workloads Strong troubleshooting and root cause analysis skills Demonstrated experience providing technical leadership and mentoring Data Engineers Excellent verbal and written communication skills Ability to work independently, prioritize competing initiatives, and thrive in ambiguous environments Key Responsibilities Design, develop, and optimize scalable cloud-based data pipelines and platforms Translate complex business requirements into technical solutions Partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise AI data solutions Lead the design and implementation of scalable, secure, and maintainable data architectures Improve existing data infrastructure through automation and engineering best practices Ensure data quality, governance, reliability, and platform performance Troubleshoot production issues and perform root cause analysis Mentor junior and mid-level Data Engineers while providing technical leadership Drive engineering standards, documentation, and code quality