Staff Data Engineer

Apptegy, Inc.; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Apptegy, Inc. is seeking a Staff Data Engineer to design, build, and evolve data systems remotely. You will own high-impact data pipelines across ingestion, storage, transformation, and consumption, using Snowflake to scale performance and governance.

You will lead technical design reviews, mentor junior engineers, and collaborate with product and analytics teams to meet evolving data requirements. The role emphasizes data quality, observability, incident response, and SLA definitions to keep

Qualifications

• 8+ years of production data engineering experience.
• Expert Snowflake design and tuning.
• Hands-on with modern data transformation practices.
• Strong data governance and observability experience.

Responsibilities

• Design and own high-impact data pipelines and platform primitives across ingestion, storage, transformation, and consumption
• Implement data governance and build a data observability practice to ensure data quality and compliance
• Lead technical design reviews and mentor junior engineers while collaborating with cross-functional teams to meet evolving data requirements

Skills

Mentoring engineers

Cross-functional collaboration

Data governance

Data modeling

Leadership

Tools

Snowflake

Coalesce

Job description

Operating remotely, the full-time Staff Data Engineer will design, build, and evolve data systems using Snowflake, focusing on high-impact data pipelines, platform capabilities, and technical leadership to enhance data governance and quality across the organization.

Key responsibilities

• Design and own high-impact data pipelines and platform primitives across ingestion, storage, transformation, and consumption
• Implement data governance and build a data observability practice to ensure data quality and compliance
• Lead technical design reviews and mentor junior engineers while collaborating with cross-functional teams to meet evolving data requirements

Required qualifications

• 8+ years of experience in data engineering or related roles with a proven track record of shipping production data infrastructure
• Expert-level proficiency in Snowflake, including schema design and performance tuning
• Hands-on experience with modern data transformation practices, particularly with Coalesce or similar tools
• Strong fundamentals in data modeling and experience building layered architectures at scale
• Production experience with data governance and observability practices, including incident response and SLA definition