Data Engineer

This range is provided by Optomi. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$63.00/hr - $73.00/hr

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Job Summary

Optomi, in partnership with a leading telecommunications company, is seeking a data engineer to join their team. You will play a key role in transitioning legacy SQL Server processes to Snowflake, managing ETL jobs, and ensuring data pipelines are efficient, scalable, and reliable.

Qualifications Required:

• Strong hands-on experience with SQL and Snowflake.
• Solid understanding of ETL processes and data pipeline orchestration.
• Experience with Azure cloud services.
• Familiarity with Infoworks as a data ingestion/scheduling platform.
• Self-motivated, curious, and able to thrive in a fast-moving, collaborative environment.
• Excellent communicator and team player—confident but humble.

Job Responsibilities:

• Manage and maintain data ingestion jobs using Infoworks for scheduling.
• Build and optimize scalable data pipelines and ETL processes from various sources into Snowflake.
• Migrate existing processes from SQL Server to Snowflake, including stored procedures.
• Collaborate with data analysts, engineers, and stakeholders to define and deliver clean, well-modeled datasets.
• Take ownership of your work—always looking for the next challenge and opportunities to improve.
• Ensure flexibility and reliability in scheduling and data operations.

Nice to Haves:

• Experience with broader Snowflake ecosystem (e.g., Snowpipe, SnowSQL).
• Domain knowledge in HR, HRIS, or People Analytics.
• Previous experience building in modern cloud data environments.

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Job function
  
  Information Technology
• Industries Telecommunications

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