Data Engineer - Mid Level

Essential Responsibilities

• Design, build, and maintain SQL-based data pipelines to support reliable data extraction, transformation, and loading across enterprise systems.
• Develop, update, and optimize database objects (views, stored procedures, functions, indexes) to ensure high performance and data accuracy for reporting and analytics.
• Create and maintain PowerBI datasets, models, and reports, ensuring data is accurate, refreshed appropriately, and presented in a user-friendly manner.
• Build and support data integrations between internal and external systems using APIs, flat files, or integration tools, ensuring secure and timely data exchange.
• Monitor, troubleshoot, and document data workflows to ensure system reliability, resolve data quality issues, and provide ongoing operational support for reporting and analytics environments.
• Effective time management and organization skills to succeed in fast-paced environment.
• Works well as a member of a team.
• Capable of carrying out a given task with all details necessary to get the task done well.
• Consistently introduce new ideas and demonstrate original thinking.
• Other duties as assigned.

Qualifications

• 3 years’ experience as a data engineer, business systems analyst or a similar role (Required)
• BS degree in computer science, information systems, or related field (Required)
• Proficiency in SQL for data querying, transformation, and optimization.
• Experience with ETL tools, preferably SSIS (or equivalent such as Mulesoft or Azure Data Factory).
• Knowledge in SharePoint, Salesforce or similar CRMs, and Workflow software.
• Intermediate to expert level Excel skills.