Data Engineer

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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.