Data Engineer

Living Our Values
All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.

Why Join Us

• Career Growth: Advance your career with opportunities for leadership and personal development.
• Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.
• Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.

Total Rewards
Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page.

A Day In The Life
We are embarking on a strategic migration of our on-premises Microsoft SQL Server data warehouse to Azure, and we are seeking a motivated Data Engineer to play a key role in this transformation. The first phase of this initiative will be a complete lift-and-shift of our existing environment into Azure, followed by refactoring and modernizing many of our applications to fully leverage Azure-native tools and services. In this role, you will help transition legacy ETL processes currently built in C# and SQL stored procedures orchestrated through Windows Task Scheduler into scalable, maintainable pipelines using technologies such as Azure Data Factory, Synapse, and Functions. You will be instrumental in laying the foundation of our cloud-based data platform while also gaining the opportunity to learn and apply new Azure technologies as we modernize. Beyond migration, you will collaborate across teams and gain exposure to both front-end and back-end applications, giving you a well-rounded view of our evolving data ecosystem. This position is ideal for someone who enjoys problem-solving, learning new tools, and shaping the future of a modern cloud-first data environment.

As a Data Engineer II you will:

• Participate in the migration of our on-prem SQL Server Data Warehouse to Azure SQL / Synapse.
• Maintain and enhance existing C# ETL applications that call SQL stored procedures.
• Re-architect legacy ETL jobs using Azure-native services such as Azure Data Factory (ADF), Azure Functions, Logic Apps, or Azure Synapse Pipelines.
• Create and optimize stored procedures, views, and SQL scripts to ensure performance and reliability.
• Collaborate with front-end developers, business users, and other technical staff to support both front-end and back-end data needs.
• Implement CI/CD pipelines and manage source control for ETL/SQL components.
• Monitor and troubleshoot performance and reliability issues in production ETL pipeline

What We Need From You

• Bachelor's Degree degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field; or equivalent practical experience Req and
• 3-4 years of experience with: o Microsoft SQL Server (T-SQL, Stored Procedures, Performance Tuning) o C#/.NET application development (ideally in ETL or backend automation contexts) o Windows Task Scheduler or equivalent scheduling tools * Experience working with Azure services, especially: o Azure Data Factory (pipelines, linked services, dataflows) o Azure SQL Database or Synapse Analytics o Azure Key Vault, Blob Storage, Functions (preferred) * Strong understanding of data warehouse principles, ETL workflows, and data integration best practices. * Familiarity with Git or other version control systems. * Exposure to front-end technologies or integration with reporting tools and user interfaces. * Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate). * Experience modernizing legacy systems and ETL processes to cloud-based architectures. * Knowledge of DevOps practices for data pipelines (CI/CD, Infrastructure as Code). * Familiarity with machine learning workflows, LLM integration, or AI driven data enrichment techniques.
• SQL (Programming Language) Intermediate-Advanced Required
• Data Modeling Data modeling creates a visual representation of information or a system to communicate the activities or connections. Intermediate-Advanced Required
• Business Intelligence Business intelligence allows organizations to identify trends, assess strengths and weaknesses against competitors, and detect business problems to provide insight as to where risks and opportunities exist. Intermediate-Advanced Required
• Microsoft Azure Intermediate-Advanced Required
• Power BI Intermediate-Advanced Required
• Data Integration Data integration entails the combination of previously separate data sources to create a richer dataset. Intermediate-Advanced Required
• Data Governance Data governance defines who in an organization has authority and control over data and how that data may be used. Intermediate-Advanced Required
• Automation Automation refers to knowledge of technologies that minimize human intervention in processes. Intermediate-Advanced Required
• Troubleshooting (Problem Solving) Intermediate-Advanced Required
• SQL Server Integration Services (SSIS) Intermediate-Advanced Required
• Microsoft SQL Servers Intermediate-Advanced Required
• C# (Programming Language) C# (Programming Language) is a general-purpose, object-oriented programming language developed by Microsoft. Awareness-Developing Required
• Machine Learning Intermediate-Advanced Required

Physical and Environmental RequirementsThe physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.

Travel Requirements
30%

Join Us
The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at TalentAcquisition@friedkin.com. We celebrate diversity and are committed to creating an inclusive environment for all associates.

We are seeking candidates legally authorized to work in the United States, without Sponsorship.