Senior Data Engineer

Summary

Join Torch's Data & Analytics team as a Senior Data Engineer and directly report to the Senior Engineering Manager. You will play a key role in shaping Torch's data strategy, driving insights for product decisions, and managing data pipeline infrastructure (Redshift & DMS). This position requires managing DBT implementation, developing data models and pipelines, and improving data quality and accessibility. You will also collaborate with cross-functional stakeholders and share knowledge to develop best practices. The ideal candidate possesses extensive experience in data engineering, proficiency in SQL and Python, and familiarity with various data tools. Torch offers a competitive salary and a comprehensive benefits package.

Requirements

• 5+ years of experience as an Analytics Engineer, Data Analyst or Data Engineer
• 2+ years of experience with DBT, DMS, Redshift, or similar tools
• Expertise with SQL, python and data modeling concepts
• Experience with a modern business intelligence tool (Preset / Superset preferred)
• Familiarity with version control tools such as Git

Responsibilities

• Manage our data pipeline infrastructure (Redshift & DMS), knowledge of zero-ETL a plus
• Manage our DBT implementation and develop new data models and pipelines
• Identify and prioritize opportunities to improve data quality, data capture, accessibility, and governance
• Create data models that provide business visibility into metrics such as user engagement, growth, customer health and more
• Share knowledge across teams, developing best practices and standards for analytics engineering and data warehousing
• Automate processes to increase efficiency of data analysis across Torch
• Collaborate with cross-functional stakeholders to understand business needs and deliver data products that enable smarter decision-making

Preferred Qualifications

• Experience with orchestration and ingestion tools such as Airbyte, Dagster, Airflow and lambda functions
• Experience with Cube Cloud or similar tools
• Background or interest in AI and ML Data Ops
• Background in statistics or data science

Benefits

• Health Insurance (medical, dental, and vision)
• Unlimited FlexTime
• 401k Retirement Plan
• Life & Disability Insurance
• Paid Parental Leave
• Torch Coaching
• UP Days (flexible Fridays)
• Remote Work Stipend