Data Engineer

Summary

LS Solutions is seeking a remote Data Engineer with expertise in SQL and Python to develop and maintain data pipelines and platform infrastructure for a self-service data platform. The role involves building ETL processes, optimizing SQL queries, and collaborating with senior engineers to ensure pipeline reliability.

Responsibilities

• Building reliable, scalable ETL/ELT processes and data pipelines
• Optimizing SQL queries and supporting data modeling within cloud data platforms like Snowflake
• Integrating with Kafka or similar event streaming platforms for real-time data ingestion
• Implementing logging, monitoring, and incident management for pipeline reliability
• Collaborating with senior engineers, participating in code reviews, CI/CD workflows, and leveraging AI tools to enhance development

Skills

• Minimum 2 years of data engineering or software development experience
• Strong SQL skills, experience with cloud data warehouses (e.g., Snowflake, BigQuery)
• Proficiency with Git, CI/CD, and familiarity with data pipeline frameworks (e.g., DBT)
• Educational background in Computer Science, Data Engineering, or related field or equivalent work experience
• Experience with Python-based data pipelines and event streaming platforms

Qualifications

Must Haves

• Minimum 2 years of data engineering or software development experience
• Strong SQL skills, experience with cloud data warehouses (e.g., Snowflake, BigQuery)
• Proficiency with Git, CI/CD, and familiarity with data pipeline frameworks (e.g., DBT)
• Educational background in Computer Science, Data Engineering, or related field or equivalent work experience

Nice to Haves

• Experience with Python-based data pipelines and event streaming platforms

Benefits

• Comprehensive benefits package
• Opportunities for professional growth
• Inclusive and supportive work environment