Data Engineer

About the role

SDG is a high-performance software community. We are a team of collaborative and creative consultants who build and deliver custom software for some of the most recognizable local and national brands. In this role, you will be asked to leverage your current skills while also learning new ones. Working in over 500 different technologies and continually learning together, you can expect a one-of-a-kind and award-winning work experience. Our team at SDG has exceptional integrity and the desire to create the best possible customer solutions. We are proud to partner with our customers to consistently provide a successful working relationship as a high-performance team.

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing Data Practice. This person will work closely with our customers to manage, transfer, manipulate, or integrate data to ensure exceptional performance for their business. You will be a part of a tight-knit technical community, giving you the opportunity to constantly grow your development amongst top technical talent. A successful Data Engineer at SDG is a lifelong learner who is motivated to continually improve their craft and thrives amongst their fellow employee-owners.

SDG’s Data Engineers have proven experience with the following responsibilities. If you do too, we want to hear from you: - Design and development of relational and non-relational databases, data warehouses and data lakes using databases such as SQL Server, PostgreSQL, MySQL, and Oracle

- Development, monitoring, and maintenance of data integration and processing tools and pipelines using tools such as SSIS, Informatica, Domo, dbt, or other related ETL tooling

- Strong knowledge and experience using SQL, DDL, Stored Procedures, Triggers, and SQL query optimization

- Development utilizing languages such as Python, Java, JavaScript or C#

- Experience using messaging middleware such as RabbitMQ, ActiveMQ, MSMQ and IBM MQ or other related technologies

- Data analysis and visualization tools including tools such as Tableau, PowerBI, SSRS, Business Objects or other related Analytics tools

- Familiarity with security and security policies

- Experience with Cloud based platforms such as AWS or Azure

Requirements: - 5+ years of professional data development experience

- Experience delivering solutions in large scale enterprise environments

- Experience with Public Cloud Providers such as AWS and Microsoft Azure

- Experience with various ETL tools

- Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub Copilot) to increase development velocity, improve code quality, and support complex problem-solving

- Experience with Databricks is preferred

- Experience with DBT is a bonus

- Prior consulting or professional services experience is a bonus