Sr. Data Engineer

We are seeking a mid-level Data Engineer to join our Data Science, Reporting & Analytics team. This role will focus on building scalable data pipelines, optimizing data architecture, and enabling analytics across enterprise platforms. The ideal candidate will have strong technical skills, a collaborative mindset, and a passion for data quality and performance.

Key Responsibilities

• Pipeline Development

  : Design, build, and maintain ETL/ELT pipelines using Snowflake, Informatica, SSIS, and cloud-native services (AWS/Azure).

• Data Integration

  : Consolidate data from multiple transactional systems into unified models to support analytics and reporting.

• Platform Optimization

  : Monitor job execution, data volumes, and latency; recommend improvements to data architecture and event pipelines.

• Collaboration

  : Partner with data scientists, analysts, and business stakeholders to support data workflows and platform services.

• Governance & Security

  : Manage access controls via Active Directory and Azure AD; ensure compliance with ITIL and ITSM standards.

• Documentation & Support

  : Maintain technical documentation and provide support for data platform operations.

Skills & Qualifications

• 5-8 years of experience in data engineering or related roles.
• Proficiency in SQL and experience with Snowflake, SQL Server, or Postgres.
• Familiarity with cloud platforms (AWS, Azure) and scheduling tools (Active Batch, Autosys).
• Strong understanding of data modeling, warehousing, and performance tuning.
• Experience with monitoring tools and diagnostic reporting.
• Excellent problem-solving and communication skills.

Preferred Experience

• Exposure to Master Data Management (MDM) and transactional data stores.
• Experience supporting analytics and machine learning workflows.
• Prior work in ed-tech or enterprise data environments is a plus.