Data Engineer - BI & Analytics

RESPONSIBILITIES

• Kforce has a client in Dallas, TX that is seeking a Data Engineer - BI & Analytics.
• Design, build, and maintain data pipelines, models, reports, dashboards, and analytics solutions
• Develop and optimize data transformations using Python, PySpark, Spark SQL, and SQL
• Build scalable data models and semantic layers to support reporting and business intelligence needs
• Develop automated workflows and low-code business applications to improve business processes
• Configure and support enterprise data, analytics, and automation platforms
• Integrate reporting and data solutions with databases, APIs, cloud platforms, spreadsheets, and other enterprise systems
• Implement appropriate access controls, security, governance, and data management standards
• Partner with business stakeholders, data engineers, and technical teams to gather requirements and develop effective solutions
• Troubleshoot and optimize data pipelines, applications, workflows, and reporting performance
• Maintain technical documentation, data lineage, configurations, and solution designs

REQUIREMENTS

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field, or equivalent experience
• Relevant data, analytics, BI, or platform certifications are preferred
• 7+ years of experience in data engineering, business intelligence, analytics development, or a related field
• Strong experience with SQL, Python, Power BI, DAX, and Power Query
• Experience developing data pipelines using PySpark, Spark SQL, or similar technologies
• Experience with cloud-based data platforms and modern data architecture concepts
• Experience developing automated workflows and low-code applications using Power Automate, Power Apps, or similar tools
• Strong understanding of data modeling, reporting, integrations, security, and governance
• Experience troubleshooting and optimizing pipelines, reporting solutions, workflows, and applications
• Strong analytical, problem-solving, communication, and documentation skills
• Ability to work independently and collaborate with technical and business teams
• Experience with cloud data platforms, Databricks, integration technologies, or enterprise platform administration is a plus