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Sql Server Data Engineer Jobs in Texas (NOW HIRING)

The Intersect Group

Sr. Data Engineer

Addison, TX · On-site

$110K - $133K/yr

The ideal candidate will have hands-on experience with Microsoft SQL Server, Azure data ... Work closely with senior engineers to support enterprise data initiatives and continuously develop ...

Collabera

SQL Server DBA

Irving, TX

... data migration using SSIS and other applicable tools Work with Support Analysts and Developers on the analysis of database changes and creation of scripts for deployments. Work with Support Analysts ...

LERETA, LLC

Senior Data Engineer

Irving, TX

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT ... Azure DevOps * Advanced SQL development and tuning * Microsoft Excel (advanced formulas, pivot ...

Dlapiper

Data Engineer

Dallas, TX

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... g., a single SQL Server instance) and manage field mappings and transformations to support ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

The Data Engineer collaborates closely with Data Architects, Engineering leadership, and all ... SSIS packages) to Snowflake and Azure-native equivalents, as applicable. • Validate migrated ...

1 point system

.Net Developer with SSIS

Irving, TX · On-site

NET Developer to support application development, integration, and data-related initiatives. The ideal candidate will have strong hands-on experience with .NET, SQL Server, and SSIS, with the ability ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$110K - $132K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and ... Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor ...

Dlapiper

Data Engineer

Austin, TX

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... g., a single SQL Server instance) and manage field mappings and transformations to support ...

Dlapiper

Data Engineer

Houston, TX

$109K - $131K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... g., a single SQL Server instance) and manage field mappings and transformations to support ...

TriosysIT Inc.

SQL Server DBA

Dallas, TX · On-site

Creates physical data model and maintains/modifies as needed 12. Assists with complex queries 13 ... SQL Server Management Studio, SQL Profiler, SSIS, SSRS, SSAS, Import Export Utility, BCP, Commvault ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

The Data Engineer collaborates closely with Data Architects, Engineering leadership, and all ... SSIS packages) to Snowflake and Azure-native equivalents, as applicable. • Validate migrated ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and ... Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$110K - $132K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and ... Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and ... Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor ...

Lereta

Senior Data Engineer

Irving, TX · On-site

$114K - $140K/yr

Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT ... Azure DevOps * Advanced SQL development and tuning * Microsoft Excel (advanced formulas, pivot ...

1 point system

SQL Server DBA

Dallas, TX · On-site

... School, Data Warehouse, Laserfiche document management and other SQL Server based database and applications and to perform following duties * Assist in Installing, configuring, maintaining ...

Pabst

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Modernize and migrate legacy SSIS solutions into cloud-native Azure and Fabric environments * Partner with engineers, analysts, and business teams to develop scalable data warehouse and lakehouse ...

Sumeru Solutions

SQL Server DBA

Irving, TX · On-site

SQL Server DBA * Location Irving, Tx (3 days onsite) JD: * Perform hands-on technical work to ... Proficient in data transfers, setup migration plans, support in existing site for data extraction ...

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Sql Server Data Engineer information

What does a SQL Server Data Engineer do?

A SQL Server Data Engineer is responsible for designing, developing, and maintaining databases using Microsoft SQL Server. Their role involves creating and optimizing data models, writing complex queries, ensuring data integrity, and supporting business intelligence needs. They often collaborate with developers, analysts, and stakeholders to deliver reliable and efficient data solutions. Additionally, they may handle performance tuning, security management, and data migration tasks.

What are the key skills and qualifications needed to thrive as a SQL Server Data Engineer?

To thrive as a SQL Server Data Engineer, you need strong proficiency in SQL, database design, ETL processes, and a solid understanding of data warehousing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft SQL Server, SSIS, SSRS, SSAS, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are commonly required. Analytical thinking, problem-solving skills, and effective communication help you excel in troubleshooting, optimizing data workflows, and collaborating with cross-functional teams. These skills ensure reliable data management, efficient operations, and the delivery of actionable insights critical to business decision-making.

What are some common challenges faced by SQL Server Data Engineers when optimizing database performance?

SQL Server Data Engineers often encounter challenges such as identifying inefficient queries, managing indexing strategies, and balancing resource usage to prevent bottlenecks. They must regularly analyze query execution plans and monitor server health to optimize performance. Collaboration with developers is also essential to ensure that application code interacts efficiently with the database, and staying updated with the latest SQL Server features helps in implementing best practices.

Do data engineers still use SQL?

Yes, data engineers still use SQL extensively for designing, building, and maintaining data pipelines and databases. SQL remains a fundamental skill for managing structured data, performing queries, and integrating data systems in many organizations.

Is SQL Server Data Engineer in demand in 2026?

SQL Server Data Engineers are expected to remain in demand through 2026 due to ongoing needs for data management, analytics, and database optimization in various industries. Skills in SQL, T-SQL, and cloud platforms like Azure or AWS can enhance job prospects, as organizations continue to prioritize data-driven decision-making. The role's demand is supported by the growth of big data and enterprise data infrastructure projects.

What are popular job titles related to Sql Server Data Engineer jobs in Texas?

For Sql Server Data Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Sql Server Data Engineer jobs in Texas look for?

The top searched job categories for Sql Server Data Engineer jobs in Texas are:

What cities in Texas are hiring for Sql Server Data Engineer jobs?

Cities in Texas with the most Sql Server Data Engineer job openings:

Sql Server Data Engineer jobs near you
Infographic showing various Sql Server Data Engineer 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.

Sr. Data Engineer

The Intersect Group

Addison, TX • On-site

$110K - $133K/yr

Other

Re-posted 4 days ago

Job description

MID-LEVEL DATA ENGINEERROLE AND RESPONSIBILITIES

The Data Engineer will be responsible for acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. This role will focus on building and maintaining reliable data pipelines, supporting data warehouse initiatives, and collaborating with cross-functional teams to deliver high-quality data solutions. The ideal candidate will have hands-on experience with Microsoft SQL Server, Azure data technologies, and ETL/ELT development. Experience working with healthcare data environments is a plus.

PRIMARY DUTIES

  • Develop and maintain integrations between Clinical/Healthcare Practice Management Systems, Electronic Medical Record (EMR) Systems, HR systems, Accounting systems, CRM platforms, and other enterprise applications.

  • Support the design, development, and maintenance of enterprise data warehouses and data platforms.

  • Build, monitor, and optimize ETL/ELT pipelines using Azure Data Factory, Azure services, SQL Server, and Python.

  • Assist in implementing data extraction processes, including AI/LLM-based solutions for document and unstructured data processing.

  • Collaborate with business and technical stakeholders to gather data requirements and translate them into technical solutions.

  • Perform data profiling, cleansing, validation, and transformation activities to ensure data accuracy and consistency.

  • Contribute to Master Data Management (MDM) initiatives by supporting data quality and governance processes.

  • Identify opportunities to automate manual processes and improve data pipeline efficiency and reliability.

  • Monitor data workflows, troubleshoot data issues, and support operational tracking and data lineage requirements.

  • Work closely with senior engineers to support enterprise data initiatives and continuously develop technical expertise.

  • Participate in code reviews, testing, documentation, and source control processes to maintain quality standards.

  • Assist in identifying integration gaps and recommending improvements to existing data solutions.

  • Follow established data engineering standards, best practices, and development methodologies.

  • Support the evaluation and implementation of new Azure capabilities and technologies as needed.

QUALIFICATIONS AND REQUIREMENTS

  • 4-5 years of experience in database development, ETL/ELT development, or data engineering roles.

  • 2+ years of hands-on experience with Azure Data Factory (ADF).

  • Experience working with healthcare, financial, or other regulated industry data environments is preferred.

  • 1–2 years of experience using Python for data integration, automation, or data processing.

  • Working knowledge of Azure data services and cloud-based data solutions.

  • Strong proficiency in T-SQL and Microsoft SQL Server.

  • Understanding of data modeling, database design, indexing, and performance optimization concepts.

  • Experience developing and supporting data pipelines from development through production.

  • Strong analytical, problem-solving, and troubleshooting skills.

  • Ability to collaborate effectively with both technical and non-technical stakeholders.

  • Bachelor''s degree in Computer Science, Information Systems, Data Engineering, or a related field.

PREFERRED EXPERIENCE

  • Exposure to healthcare data integrations, including EDI transactions such as 835, 837, 270/271, or related healthcare data formats.

  • Experience supporting data extraction and processing initiatives involving AI/LLM technologies.

  • Familiarity with additional Azure services such as Azure SQL Database, Azure Synapse Analytics, Azure Databricks, Azure Functions, or Azure Storage.

  • Experience using Git, Azure DevOps, or similar source control and CI/CD tools.

  • Knowledge of data governance, data quality, and data security best practices.

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