SQL Database Developer

Job Description

We are seeking a detail-oriented Data Integration / ETL Engineer to support a formula and recipe transformation initiative. This role will focus on migrating, transforming, and validating critical data across systems to enable seamless integration within a modernized data environment. The ideal candidate brings strong database expertise, hands‑on ETL experience, and the ability to handle complex datasets in a process manufacturing context.

Hourly: $65-$75

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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Strong proficiency in relational databases such as SQL Server, Oracle, or similar.

Experience working with large, complex datasets in enterprise environments.

Hands‑on experience with ETL tools and data integration processes.

Ability to write complex queries, stored procedures, and optimize data workflows.

Support the formula and recipe transformation team in end‑to‑end data migration and conversion efforts.

Extract and stage data from legacy and source systems for downstream processing.

Perform data mapping, transformation, and normalization across multiple platforms.

Execute data validation, reconciliation, and quality checks to ensure accuracy and integrity.

Develop and execute data loads using database procedures, integration services, and APIs.

Implement and support modern integration patterns, including API‑based data exchange.

Troubleshoot data-related issues and optimize performance for large‑scale data processing workflows.

Collaborate with cross‑functional teams to ensure alignment on data requirements and business rules.