> Markdown version of [/jobs/ext/3997070-data-engineer](https://www.wearedevelopers.com/jobs/ext/3997070-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:** Everforth Apex - **Location:** Fort Lauderdale, FL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Microsoft Azure, Code Review, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, JSON, Python (Programming Language), Project Management Software, Metadata, Microsoft SQL Server, SQL Azure, Operational Databases, Query Optimization, Standard Sql, Salesforce.Com, SQL Databases, Data Logging, Enterprise Software Applications, Azure Data Factory, Git, Microsoft Fabric, Pyspark, Enterprise Integration, Data Management, Azure Synapse Analytics, Data Pipelines, Workday, Databricks - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/15254667-0b88-4cc6-b5a3-0245a9432201 ## About the Role * 5+ years of data engineering, data integration, or ETL/ELT experience * Strong SQL development and query optimization skills * Hands-on experience building production data pipelines * Azure Data Factory experience * Azure SQL Database and/or SQL Server experience * Experience with data warehousing, data modeling, and incremental loading * Experience troubleshooting production data workflows * Python and/or PySpark experience * Understanding of Git, code reviews, deployment practices, and CI/CD * Strong communication, documentation, and problem-solving skills Technical Environment * Microsoft Fabric * Microsoft Azure * Azure Data Factory * Azure SQL Database and SQL Server * OneLake * Lakehouse and Warehouse architecture * SQL * Python and PySpark * APIs, JSON, files, and database integrations * Git and CI/CD * ETL/ELT pipelines * Dimensional modeling, facts, dimensions, and star schemas Nice-to-Haves * Production experience with Microsoft Fabric * Databricks or Azure Synapse Analytics experience * Experience integrating Oracle Fusion, Salesforce, Procore, Workday, or similar enterprise applications * Power BI dataset or semantic model experience * Data governance, metadata, lineage, or master data experience * Experience migrating legacy data warehouses to modern cloud platforms Soft Skills / Culture Fit * Strong problem-solving and troubleshooting skills * Able to collaborate with architects, application teams, business stakeholders, infrastructure, and security teams * Clear communicator with strong technical documentation skills * Focused on data quality, reliability, security, and performance * Comfortable participating in code reviews and improving team standards * Able to take ownership of production issues and implement permanent fixes ## Description * Seeking a Data Engineer to design, develop, and support reliable data pipelines and integration solutions for enterprise reporting, analytics, and AI initiatives. * Role will primarily support the Microsoft Azure data environment while helping the team transition toward Microsoft Fabric. Top Priorities * Build and maintain scalable ETL/ELT pipelines * Develop integrations using Azure Data Factory * Support Microsoft Fabric, OneLake, Lakehouse, and Warehouse environments * Optimize SQL queries, pipelines, data models, and storage * Monitor production pipelines and resolve failures * Implement data quality checks, logging, alerting, and recovery processes * Partner with the Data Warehouse Architect and business teams