Data Engineer

MARKETview • Richmond, VA

50d • Onsite

About The Position

MARKETview Education Technology is seeking a skilled and motivated mid-level Data Engineer with 3–5 years of experience to help build and manage the data infrastructure that powers our insights platform. You’ll play a key role in supporting complex data systems and ETL pipelines, working alongside a collaborative team of experienced professionals in a fast-growing, mission-driven environment. Individuals will support and maintain complex data storage systems and will be responsible for all aspects of development, performance tuning, and monitoring.

Requirements

• Bachelor’s degree in computer science, information technology or related field or a database certification
• 3–5 years of professional experience in data engineering or a related role.
• Hands-on experience with Microsoft Azure cloud services (ADF, Databricks, Function Apps, SQL)
• Proficiency in Python for data manipulation and ETL development.
• Solid understanding of structured and unstructured data storage.
• Strong troubleshooting and problem-solving skills.
• Impressive interpersonal and verbal communication skills
• Ability to multitask and prioritize tasks appropriately

Nice To Haves

• Exposure to working with large databases and developing data warehouses
• Exposure to designing and developing dimensional models
• Understanding of programmatic languages such as python for managing complex data
• Microsoft developer certifications

Responsibilities

• Develop and maintain robust ETL processes using Microsoft Azure tools (ADF, Data Lake, SQL) and Python.
• Support ingestion and normalization of large, complex data sets from higher education institutions.
• Collaborate with analytics and client service teams to ensure smooth client onboarding and data delivery.
• Monitor and optimize data workflows for performance, scalability, and reliability.
• Ensure data quality, integrity, and security using best-in-class BI tools and practices.
• Create and maintain technical documentation to support internal knowledge sharing and client communications.
• Contribute to the design and development of data models and data warehouse solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees