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Date Posted:  Jul 22, 2025
Company:  Data Analysis Inc

Title:  SQL/AWS Database Engineer, Senior

About Us

Data Analysis Incorporated (DAI) is the controlling entity of the O’Neil family of businesses. DAI and its subsidiaries operate in diverse industries worldwide, including global equity markets, health care, financial services, digital news, and insurance. Our global footprint allows our teams to be responsive to customer needs in a timely and efficient manner. We are dedicated to using technology and innovation to bring change and growth to our businesses. We believe in a dynamic workplace, creating engaging, informative products and services that help our customers succeed. Integrity is an essential characteristic for our firms and our associates; if this describes you, please apply! 

Summary

We are looking for an experienced and driven Senior SQL/AWS Database Engineer to join our team. You will play a pivotal role in designing, developing, and optimizing database solutions using Microsoft SQL Server and PostgreSQL. This position demands a strong command of AWS database services, including Amazon RDS, Aurora, and DynamoDB.

Candidates must be located in the Dallas–Fort Worth Metroplex, as this is a hybrid role requiring four days per week on-site.

Compensation and Location

  • $120K to $140K, + 10% Yearly bonus target. 
  • 4-day in office hybrid - 3100 E Plano Pkwy, Plano, TX 75074

Duties and Responsibilities

  • Design, implement, and maintain scalable AWS database solutions, including Amazon RDS, Aurora PostgreSQL, and DynamoDB.
  • Lead seamless database migrations from on-premises SQL Server to AWS, ensuring minimal downtime and data integrity.
  • Automate infrastructure and deployment processes using tools like CloudFormation, Terraform, and AWS-native services (IAM, AWS Backup).
  • Develop and maintain CI/CD pipelines for database deployments leveraging AWS CodePipeline, CodeBuild, and Lambda.
  • Collaborate with DevOps, IT, and security teams to enforce security best practices and conduct audits for AWS and SaaS environments.
  • Write and optimize complex SQL queries, stored procedures, and SSIS packages; troubleshoot and resolve database conflicts and performance issues.
  • Act as a technical advisor within cross-functional product development teams, offering guidance on data architecture and performance tuning.
  • Monitor long-running transactions; implement indexing strategies and efficient T-SQL coding to optimize query execution.
  • Support resource allocation for databases and ensure high availability and performance.
  • Provide performance analysis and trend reporting to support infrastructure planning and management.
  • Contribute to the ongoing documentation of technical environments and processes.
  • Participate in the team’s on-call support rotation.

Qualifications & Requirements

  • Extensive SQL expertise, including advanced query tuning and optimization techniques.
  • Hands-on experience with AWS database services; AWS certification is highly preferred.
  • Deep knowledge of Microsoft SQL Server and PostgreSQL.
  • Experience with clustering, log shipping, and database security hardening.
  • Proficient in writing, debugging, and optimizing SQL scripts.
  • Familiarity with Microsoft SQL Server 2008 and SSIS is required.
  • Strong communication and collaboration skills, especially in small team environments.
  • Demonstrated ability to solve complex problems independently.
  • Bachelor’s degree in Computer Science, Engineering, or a related field preferred.
  • Knowledge of additional programming languages is a plus.

Working Conditions

Must be able to perform essential job duties.  Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods (66%+ each work day), the ability to hear the telephone, the ability to enter data on a computer, and may also require the ability to lift to 10 pounds.  

Equal Opportunity Employer

Data Analysis Inc is an equal opportunity employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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