Senior Data Engineer
We seek a highly skilled and motivated Senior Data Engineer to join our team.
Work Schedule Expectation (Non-Negotiable but Flexible)
One of the key responsibilities for this role is to ensure availability during the Enterprise Data Warehouse (EDW) batch job runtime, which occurs daily from 12:30 AM to 3:30 AM EST. Although failures are rare (>90% of jobs succeed without intervention), we need someone experienced who can quickly address any issues that arise and rerun failed jobs before US users begin their day.
In addition to this 3-hour window, the candidate is expected to be available from 8:00 AM EST until at least 1:00 PM EST (a total of ~8 hours/day, including the early shift) to support overlap with US business hours. Flexibility in managing this schedule is allowed, and we do not consider this an “on-call” role.
We value outcomes over micromanagement and trust the engineer to self-manage their time responsibly.
Job Responsibilities
● Design and develop scalable, efficient, high-performance ETL/ELT data pipelines.
● Collaborate with internal and external stakeholders to facilitate seamless data integration across platforms.
● Implement data quality checks and monitoring systems to ensure data integrity and accuracy.
● Optimize data storage and processing systems, addressing bottlenecks and improving performance.
● Troubleshoot and resolve data issues, including pipeline failures and performance concerns.
● Provide guidance to teams on data-related challenges.
● Document processes and technical specifications clearly for cross-team visibility.
Requirements
● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
● 8+ years of experience in data engineering and data warehouse environments.
● Strong experience in data integration and automation.
● Proficient in SQL and PL/SQL across multiple database platforms (SQL Server, Snowflake).
● 5+ years of Python experience.
● 3+ years working with AWS or Azure cloud platforms.
● Familiarity with Property & Casualty Insurance industry is a plus.
● Knowledge of CI/CD tools (Azure DevOps, Jenkins, GitLab).
● Experience with BI tools like Tableau, Power BI, or Cognos.
● Excellent communication and collaboration skills.
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