Data Engineer

Optomi; Dallas (TX); On-site; USD 120,000 - 140,000; Full time

Job summary

Optomi, in partnership with a leading telecommunications company, is seeking a Data Engineer to transition legacy SQL processes to Snowflake. This role involves managing ETL jobs, ensuring efficient data pipelines, and collaborating with teams to deliver clean datasets. Ideal candidates will have strong SQL and Snowflake experience, along with a solid understanding of ETL processes.

Qualifications

• Strong hands-on experience with SQL and Snowflake.
• Solid understanding of ETL processes and data pipeline orchestration.
• Self-motivated and excellent communicator.

Responsibilities

• Manage and maintain data ingestion jobs using Infoworks.
• Build and optimize scalable data pipelines and ETL processes.
• Migrate existing processes from SQL Server to Snowflake.

Skills

SQL

Snowflake

ETL processes

Azure cloud services

Data pipeline orchestration

Communication

Tools

Infoworks

Job description

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

Base pay range

$63.00/hr - $73.00/hr

Direct message the job poster from Optomi

Data Modernization Recruiter at Optomi, LLC.

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

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Telecommunications

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