Position Summary

BARBRI is seeking a Data Engineer / Business Intelligence Engineer to design, build, and maintain automated data pipelines that power analytics, reporting, and advanced modeling. The ideal candidate is hands-on with SQL and Python, experienced in Spark-based environments (e.g., Databricks or Microsoft Fabric), and comfortable developing robust semantic models and dashboards in Power BI. This role will also play a key part in migrating data from legacy systems to modern platforms, ensuring completeness, accuracy, and minimal disruption. You will collaborate closely with data analysts, data scientists, and business stakeholders to ensure data is accurate, timely, and actionable.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and curate data from multiple sources.
• Implement automation and orchestration for data workflows (e.g., notebooks, jobs, scheduled pipelines).
• Plan and execute data migrations from legacy systems to new platforms: profiling source data, mapping and transforming datasets, performing validation/reconciliation, and documenting processes.
• Optimize Spark jobs and SQL queries for performance and cost efficiency.
• Develop and manage data models (dimensional/star schemas) to support report building and self-service analytics.
• Build and maintain Power BI datasets, DAX measures, and dashboards with a focus on performance and usability.
• Enforce data quality, validation, and monitoring processes; implement logging and alerting.
• Partner with stakeholders to translate business requirements into technical specifications.
• Contribute to data governance standards (documentation, cataloging, lineage, security).
• Support data scientists by provisioning reliable feature datasets and productionizing model outputs.
• Continuously evaluate and improve toolsets, processes, and coding standards.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience).
• 3+ years of experience in a data engineering or analytics engineering role.
• Proficiency in SQL (complex joins, window functions, performance tuning).
• Professional experience with Python for data processing (pandas, PySpark, or similar).
• Hands-on experience working in a Spark environment (e.g., PySpark in Databricks, Fabric, or similar).
• Experience developing Power BI data models, DAX measures, and dashboards.
• Direct experience executing data migration projects (source analysis, mapping, transformation, validation, reconciliation).
• Familiarity with version control (Git) and CI/CD practices.
• Understanding of data modeling concepts (e.g., dimensional modeling) and data warehousing.

Preferred Qualifications

• Experience with Microsoft Fabric, Azure Databricks, or other cloud data platforms (Azure Synapse, AWS, GCP).
• Knowledge of orchestration tools (e.g., Azure Data Factory, Airflow) and job scheduling.
• Experience implementing data quality frameworks and observability tooling.
• Exposure to machine learning model deployment workflows.
• Understanding of security best practices (row-level security, PII handling).

Soft Skills

• Strong problem-solving and analytical mindset.
• Excellent communication skills—able to explain technical concepts to non-technical stakeholders.
• Detail-oriented with a commitment to data accuracy and reliability.
• Collaborative team player with a proactive, ownership-driven approach.

Thrive Beyond the Basics: Our Perks Package

We believe your dedication deserves more than just a paycheck. That's why we offer a comprehensive perks package designed to support your well-being and fuel your passions. Here's a taste of what awaits you:

• Competitive Benefits: Health, dental, vision, and life insurance plans to keep you and your loved ones covered. Plus, a healthy contribution to your 401(k) retirement savings.
• Work-Life Harmony: We prioritize a healthy balance. Enjoy generous paid time off, including vacation, sick leave, volunteer and other "personal" days, to recharge and explore your interests.
• Wellness Programs: Stay healthy and happy with an on-site fitness facility in our HQ, discounts on gym memberships, and wellness initiatives to support your physical and mental well-being.
• Continuous Learning Opportunities: As an education company, we believe in the power of learning. Access our extensive library of educational resources, courses, and workshops to enhance your skills and knowledge in both professional and personal development areas.
• Flexible Work Arrangements: We understand the importance of work-life balance. Enjoy flexible work hours and remote work options, allowing you to manage your schedule and responsibilities effectively.
• Opportunities for Growth and Advancement: We're committed to helping you reach your full potential. Benefit from opportunities for career growth and advancement through mentorship programs, volunteer opportunities, performance evaluations, and ongoing feedback/coaching sessions.
• Employee Assistance Program: Life can be unpredictable, and we're here to support you through challenging times. Access our employee assistance program for confidential counseling, legal assistance, and other support services.
• And More!

At BARBRI, we believe that investing in our employees leads to mutual success. Join us and be part of a passionate team dedicated to transforming education through innovative technology.

BARBRI is an equal opportunity employer workplace. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We are dedicated to creating an inclusive environment where all employees feel valued, respected, and empowered to contribute their unique perspectives and talents.

Qualified applicants will receive consideration for employment without regard to their race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Join us in our mission to empower individuals through education and technology. We welcome candidates from all backgrounds to apply and help us build an inclusive workforce.

Locations

Dallas, TX, Eagan, MN

Remote status

Hybrid

Employment type

Full-time

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