Data Engineer

Our client is seeking a hands-on Data Engineer to support a major data modernization initiative focused on improving enterprise data accessibility, accelerating analytics delivery, and enabling future AI capabilities. This individual will join a team to help build and enhance a modern data platform leveraging Databricks and Microsoft Azure. This is an opportunity for an engineer who enjoys both providing technical direction and contributing directly to development efforts in a growing cloud data ecosystem., * Design, develop, and maintain scalable data pipelines using Databricks, Azure Data Factory, Python, and SQL.

• Build and enhance enterprise data ingestion, transformation, and aggregation processes across multiple data sources.
• Develop robust data consumption layers that improve data accessibility for business intelligence, analytics, and AI initiatives.
• Partner with Architects, Data Engineers, and business stakeholders to accelerate delivery of data products and improve speed-to-market.
• Create and optimize datasets that support Power BI reporting and enterprise analytics initiatives.
• Support enterprise-wide workers’ compensation analytics efforts by integrating and standardizing data from multiple systems and external sources.
• Contribute to data architecture decisions and help establish engineering best practices within the Azure and Databricks environment.
• Collaborate on long-term initiatives focused on improving data usability, self-service analytics, and overall user experience.
• Participate in code reviews, testing, deployment activities, and ongoing platform optimization.

• 3+ years of experience in Data Engineering, ETL development, or data platform engineering.
• Strong experience with Databricks.
• Proficiency in Python and SQL.
• Experience building and maintaining ETL/ELT pipelines.
• Hands-on experience with Azure Data Factory.
• Experience working within cloud-based data platforms and modern data architectures.
• Familiarity supporting reporting and analytics teams through curated datasets and data models.
• Strong communication skills and ability to work closely with technical and business stakeholders., * Experience supporting workers’ compensation, insurance, healthcare, financial services, or other highly regulated industries.
• Exposure to Azure cloud services and data lake environments.
• Experience supporting Power BI reporting environments.
• Familiarity with GitHub, CI/CD pipelines, and containerized environments.
• Exposure to Kubernetes or cloud-native application architectures.
• Experience supporting data science, machine learning, or AI initiatives through data engineering best practices.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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