> Markdown version of [/jobs/ext/2038898-data-engineer](https://www.wearedevelopers.com/jobs/ext/2038898-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data engineer - **Company:** Veridic Solutions LLC - **Location:** Jacksonville, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Cloud Database, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Microsoft SQL Server, MongoDB, MySQL, NoSQL, Role-Based Access Control, Standard Sql, Software Engineering, Talend, Data Processing, Informatica Powercenter, Snowflake, Microsoft Fabric, Cassandra, Data Analytics, Star Schema, Google Bigquery, Azure Synapse Analytics, Data Pipelines, Amazon Redshift - **Published:** August 12, 2026 - **Apply:** https://www.dice.com/job-detail/040856ca-45ef-4714-8901-7bee873a7883 ## About the Role * Bachelor's degree and 6+ years of experience in data analytics, data engineering, data architecture, or software engineering with a focus on data warehouse design and implementation. * Proven experience designing and implementing dimensional data models (star schema, snowflake schema) for enterprise-scale data warehouses. * Hands-on experience with ETL/ELT development using tools like dbt, Informatica, Talend, Apache Airflow, or custom data pipelines. * 3+ years of experience working with cloud-based data warehouse platforms such as Snowflake, AWS Redshift, Google BigQuery, or Azure Synapse Analytics. * Strong knowledge of SQL, Python, and/or Scala for data processing and transformation. * Experience with relational and (preferably) NoSQL databases (e.g., SQL Server, MySQL, MongoDB, Cassandra). * Experience with Microsoft Fabric/Synapse/OneLake preferred. * Experience implementing data governance, data quality frameworks, and role-based access control (RBAC). * Experience working closely with other departments and teams to ensure alignment on goals and objectives for successful project execution. * Perform work under minimal supervision. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Coding for Good: Achieving social change with an app](https://www.wearedevelopers.com/videos/1645-coding-for-good-achieving-social-change-with-an-app) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)