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Data Sql Jobs (NOW HIRING)

SQL Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

SQL Data Engineer We are seeking a Data Engineer to design, develop, test, and support SQL Server database solutions, SSIS packages, and ETL processes that power enterprise data integration ...

SQL Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

SQL Data Engineer Location: Dallas, TX Duration: 12+ months Rate: Open Skills: Bachelor's degree 5.+years of experience with ETL and advanced SQL skills - Adept at queries, report writing and ...

DATA ARCHITECT (SQL)

$65.25 - $84/hr

SQL Server Management Studio, Data modeling tool ( Redgate/Erwin/ER Studio). Required skills: 7+ years of Strong SQL Server data architecture experience. Data analysis, and Modelling Database/ Data ...

PostgreSQL DBA

Atlanta, GA · On-site

$48 - $60/hr

... Oracle data - SQL Development experience assisting front end application developers - Experience in security access control - Full project life cycle experience - Strong written and verbal ...

Under limited supervision, the Senior Oracle SQL Data Analyst develops, maintains, and supports SQL solutions for operational reporting, research, executive decision-making, legislative reporting ...

Working ability with structured data, SQL, validation methods, and reconciliation techniques. Experience with workflow design, issue management, service metrics, and continuous improvement. Ability ...

SQL Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

RIT Solutions, Inc. is seeking a SQL Data Engineer to work with the development team on their legacy claim auditing system. The role involves analyzing needs and ensuring solutions align with current ...

Showing results 41-60

Data Sql information

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$21.5K

$87.6K

$127K

How much do data sql jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data sql in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

Is SQL in demand in 2026?

Data SQL roles are expected to remain in high demand through 2026 due to the continued growth of data-driven decision making and the widespread use of relational databases. Proficiency in SQL, along with knowledge of database management and data analysis tools, will be valuable for data analysts, database administrators, and data engineers in the job market.

What kind of jobs can I get with Data SQL?

Data SQL skills are essential for roles such as Data Analyst, Data Engineer, Database Administrator, and Business Intelligence Developer. These jobs involve managing, querying, and analyzing data using SQL databases and often require knowledge of SQL tools, data modeling, and sometimes certifications like Microsoft SQL Server or Oracle SQL.

What is the difference between Data Sql vs Data Analyst?

AspectData SqlData Analyst
Required CredentialsSQL certifications, database knowledgeStatistics, data visualization, SQL skills
Work EnvironmentDatabase management, backend systemsBusiness insights, reporting, dashboards
Industry UsageIT, tech, finance, healthcareMarketing, finance, consulting, tech

Data Sql professionals focus on managing and querying databases using SQL, often working behind the scenes to ensure data integrity. Data Analysts interpret data to generate reports and insights, frequently using SQL as a tool. While both roles require SQL skills, Data Sql roles are more technical and database-centric, whereas Data Analysts focus on analyzing data to support business decisions.

Do data sql jobs pay well?

Data SQL jobs, such as SQL developers or database administrators, typically offer competitive salaries due to the demand for data management skills. Compensation varies based on experience, location, and certifications, with many roles offering above-average pay in the tech industry.
More about Data Sql jobs
What cities are hiring for Data Sql jobs? Cities with the most Data Sql job openings:
What states have the most Data Sql jobs? States with the most job openings for Data Sql jobs include:
Infographic showing various Data Sql job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.

SQL Data Engineer

BravoTech

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Posted 8 days ago


Job description


SQL Data Engineer
We are seeking a Data Engineer to design, develop, test, and support SQL Server database solutions, SSIS packages, and ETL processes that power enterprise data integration, reporting, and analytics. This role is ideal for a hands-on data professional who enjoys building reliable data solutions, improving performance, supporting production environments, and partnering with business and technical teams.
The Data Engineer will work across SQL development, ETL, data quality, reporting support, and documentation to help deliver scalable, accurate, and maintainable data solutions.
What You'll Do
  • Design, develop, test, deploy, and maintain SQL Server database objects, including stored procedures, views, functions, tables, indexes, and scripts.
  • Write, troubleshoot, and optimize complex T-SQL queries and stored procedures.
  • Build, enhance, and support SSIS packages and ETL workflows.
  • Extract, transform, validate, and load data from multiple source systems into operational databases, staging areas, data warehouses, and reporting environments.
  • Translate business and technical requirements into reliable SQL and ETL solutions.
  • Support data warehouse and reporting needs, including source-to-target mapping, fact and dimension tables, incremental loads, and historical data handling.
  • Perform data profiling, validation, reconciliation, and issue resolution to ensure data accuracy and integrity.
  • Monitor production database and ETL jobs, investigate failures, document root cause, and implement corrective actions.
  • Improve database, ETL, and reporting environments through automation, reusable patterns, better error handling, and process discipline.
  • Collaborate with business users, analysts, developers, data engineers, DBAs, and QA resources throughout the software development lifecycle.
  • Maintain technical documentation, including data mappings, ETL specifications, deployment notes, job dependencies, and support procedures.
  • Participate in code reviews, unit testing, peer validation, release management, and source control practices.
Requirements
  • 3-5 years of professional experience developing Microsoft SQL Server solutions.
  • Strong T-SQL experience, including stored procedures, views, functions, tables, indexes, and query optimization.
  • 3-5 years of hands-on experience writing, troubleshooting, and tuning SQL queries for data integration, reporting, application support, or operational data needs.
  • 2-4 years of experience developing, maintaining, troubleshooting, and deploying SSIS packages or comparable ETL/data integration workflows.
  • 2-4 years of experience with data warehouse concepts, including staging, source-to-target mapping, fact and dimension tables, data quality validation, incremental loads, and historical data handling.
  • 1-3 years of experience supporting reporting or analytics environments such as SSRS, Power BI datasets, semantic models, or other BI tools.
  • Understanding of relational database design, normalization, indexing, data modeling fundamentals, and design tradeoffs for transactional, integration, and reporting workloads.
  • Strong analytical and problem-solving skills, including the ability to diagnose data issues, validate results, identify root cause, and implement corrective actions.
  • Ability to produce accurate, well-tested technical deliverables, including SQL code, ETL packages, test evidence, deployment notes, and documentation.
  • Working knowledge of source control and release management practices.
  • Ability to work effectively within Scrum processes, including estimating work, participating in sprint planning, communicating progress, and completing assignments on time.
  • Strong professional demeanor, accountability, confidentiality, and commitment to continuous improvement.
Preferences
  • Bachelor's degree in Computer Science, Management Information Systems, Data Engineering, Information Technology, Engineering, or a related field.
  • Equivalent professional experience may be considered in place of a degree.
  • Microsoft data platform certification, such as Azure Data Fundamentals, Azure Database Administrator Associate, Fabric Analytics Engineer Associate, or another relevant SQL Server, Azure, data engineering, or BI certification.
  • Experience with Azure DevOps, Git, or comparable version control and deployment tools.
  • Experience with database administration concepts, including performance monitoring, indexing strategies, execution plans, job scheduling, backup and recovery awareness, and production support practices.
  • Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, Data Lake, Synapse, Dataverse, or related Microsoft data services.
  • Proficiency with Microsoft Office and related business applications.
Why This Role
This is an opportunity to contribute to enterprise data platforms that support critical reporting, analytics, and integration needs. You will work with collaborative business and technology teams, solve complex data challenges, and help improve the reliability, performance, and maintainability of key data environments.
Apply Now
If you are a hands-on SQL Server and ETL professional who enjoys building reliable data solutions and improving data quality, we'd love to hear from you. Apply today to learn more.
Meet Your Recruiter
Logan Ridgley