Sr. Data Engineer - Analytics

Scoular • Omaha, NE

3h

About The Position

The Senior Data Engineer will be a key contributor in designing, building, and
optimizing data solutions that power our analytics ecosystem. This role focuses
on hands-on development, ensuring data integrity, performance, and scalability
across our platforms. The Senior Data Engineer will collaborate closely with
leads, analysts, and business stakeholders to deliver high-quality data products
and solutions.

Requirements

• 5+ years of experience in data engineering and analytics, with strong expertise in ETL/ELT processes including using medallion framework.
• Proficiency in PySpark and Azure Data Services (Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL Databases).
• Experience working with Parquet and Delta file formats.
• Familiarity with architecture involving Warehouse, Lakehouse, and operational data stores.
• Knowledge of CI/CD pipelines using Azure DevOps and Agile development methodologies.
• Bachelor’s Degree in Computer Science, MIS, or related field (or equivalent experience).
• Excellent problem-solving skills and ability to work independently or in a team environment.
• Strong communication skills to collaborate effectively across technical and business teams.

Nice To Haves

• Working knowledge of Microsoft Fabric and Power BI (development and optimization).
• Experience with API connectivity
• Exposure to Databricks, Snowflake, or similar platforms.
• Understanding of data governance, lineage, and audit logging.

Responsibilities

• Design, develop, and maintain scalable data pipelines and integration solutions by analyzing business requirements and system dependencies to deliver efficient, reliable, and secure data solutions.
• Build and optimize ETL/ELT workflows using pipeline and PySpark frameworks, following medallion architecture principles.
• Implement best practices for data modeling, performance tuning, and scalability across data platforms.
• Work with modern file formats (e.g., Parquet, Delta) to ensure efficient storage and processing.
• Ensure data quality, security, and compliance across all solutions.
• Monitor and maintain data systems, proactively identifying and resolving performance issues.
• Collaborate with cross-functional teams to deliver integrated solutions for complex business problems.
• Stay current with emerging technologies and recommend improvements to enhance the data ecosystem.
• Contribute to documentation and knowledge sharing within the team.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees