MILLS COLLEGE

MILLS COLLEGE

Senior Data Integration Operations Engineer

Boston, MA (Main Campus) · Senior

No sponsorship$131k-$190kDetected 7 days ago
PythonSQLSnowflakeDatabricksAWSGCPAzureCloud PlatformsCI/CDDevOpsData EngineeringCybersecurityIncident ResponseCRMERPCommunicationCollaborationProblem SolvingAdaptability

About the role

  • Northeastern University is seeking an experienced and technically skilled Sr.
  • Data Integration & Operations Engineer to join our team.
  • The role will oversee ETL/ELT workflows built on enterprise integration platforms, ensuring reliable data flow from a broad spectrum of university source systems into the data lakehouse and downstream point solutions used across the university.

Responsibilities

  • This role is responsible for the day-to-day management, monitoring, operational support, and optimization of the university's data integration pipelines and processes.
  • This role requires flexibility in performing duties outside of the primary responsibilities to support the evolving AI ecosystem at the university.
  • In-office presence enables effective coordination with support teams, direct access to infrastructure, and hands-on troubleshooting of AI systems and data pipelines.

Requirements

  • Strong SQL/Python skills are required for data validation, troubleshooting, and ad hoc investigation of pipeline issues.
  • Familiarity with lakehouse architecture concepts (medallion architecture, incremental loads, schema management) is expected.
  • Incident Management: Strong experience in troubleshooting, diagnosing, and resolving AI system and data infrastructure issues, with the ability to prioritize incidents based on business impact.
  • Change Management: Experience implementing changes to production AI systems and data pipelines with minimal disruption, including testing, validation, and rollback procedures.
  • Ability to identify data quality failures before they affect downstream analytics consumers or operational applications.
  • Collaboration Skills: Strong ability to work with cross-functional teams, communicate technical concepts clearly, and coordinate incident response activities effectively.
  • Problem-solving: Excellent analytical and problem-solving skills, with the ability to troubleshoot complex issues in AI systems and data infrastructure in a methodical and efficient manner.
  • The ideal candidate must be able to quickly diagnose and resolve AI system and data pipeline incidents, prioritize issues based on business impact, and coordinate with technical teams to restore service.
  • Bachelor's degree in Computer Science, Information Technology, Data Management, or a related field; technical certifications in relevant areas (e.g., Informatica, cloud data platforms, data engineering) preferred.
  • Experience with cloud platforms (AWS, Azure, or GCP) and familiarity with cloud-based data lakehouse or data warehouse platforms (e.g., Snowflake, Databricks, Microsoft Fabric, or Delta Lake).

Nice to have

  • Hands-on experience administering and operating enterprise data integration platforms, with Informatica PowerCenter or IDMC (Intelligent Data Management Cloud) strongly preferred.
  • Experience with SaaS-based ELT tools such as Fivetran is a plus.
  • Proficiency in designing alerting frameworks that surface meaningful signals without generating excessive noise.
  • Data Integration Platform Experience: Hands-on experience administering and operating enterprise data integration platforms, with Informatica PowerCenter or IDMC (Intelligent Data Management Cloud) strongly preferred.

Skills

  • Collaboration
  • Communication
  • & Accountabilities

Compensation

  • $130,945.00 - $189,868.75
  • With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role.
  • Salary ranges are reviewed regularly and are subject to change.

Benefits

  • include monitoring system health, responding to alerts, troubleshooting performance issues, and implementing emergency fixes as needed.

Visa & Work Authorization

  • Applicants must be authorized to work in the United States.
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