Data Engineer - BI & Analytics

Responsibilities Kforce has a client in Dallas, TX that is seeking a Data Engineer - BI & Analytics. Responsibilities:

• 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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