Senior Data Engineer: Snowflake Platform & Reliability

National Debt Relief, LLC; United States; On-site; USD 144,000 - 166,000; Full time

Benefits offered by this job

Generous Medical, Dental, and Vision

401(k) with Company Match

Paid Holidays, Vacation, and Sick Days

12 weeks Paid Parental Leave

Pre-tax Transit Benefits

No-Cost Life Insurance Benefits

Wellness Incentive Program

Job summary

National Debt Relief is seeking a Senior Data Engineer to shape the data platform architecture, reliability, and evolution supporting analytics and decision-making. You will own one or more data domains across a Snowflake-based platform, spanning ingestion, orchestration, transformation, and analytics-ready data models.

You will design and build end-to-end data pipelines using dbt, Python, Dagster, and Snowflake, ensuring data quality, security, and cost efficiency while mentoring other

Qualifications

• 7 years of experience in data engineering, analytics engineering, or data warehouse development, including ownership of production data systems in a cloud environment.
• Bachelor's degree in a relevant technical field, or equivalent practical experience.
• Experience using Python to build or maintain integrations with APIs and third-party data sources.
• Experience implementing CI/CD workflows, version control, automated testing, and observability for production data pipelines.

Responsibilities

• Own the architecture and reliability of one or more data domains end to end, establishing patterns and conventions other engineers can build on.
• Take ambiguous, cross-cutting problems from definition through verified delivery, making and defending tradeoffs tied to business outcomes, reliability, and cost.
• Identify architectural, reliability, and maintainability improvements across the platform and translate them into well-scoped initiatives, influencing priorities and technical direction.
• Develop and maintain Python-based ingestion pipelines when custom pipelines are required, integrating data from APIs and third-party systems.
• Design and build data pipelines and workflows using dbt, Python, Dagster, and Snowflake, documenting significant designs and weighing failure modes, scalability, cost, and maintainability.
• Use AI coding agents as a core part of daily work while creating reusable workflows, verification practices, and guardrails for the broader team.
• Build systemic safeguards for data quality and trust through testing, data contracts, monitoring, reconciliation, and alerting that prevent recurring issues.
• Own domain reliability, including SLAs, alerting, runbooks, morning load failures (Eastern Time working hours), on-call rotation, complex incident response, and post-incident review.
• Manage Snowflake infrastructure and access controls for sensitive data through infrastructure-as-code, following security, governance, and privacy standards.
• Optimize Snowflake performance and compute costs through efficient query design, warehouse tuning, architecture decisions, and resource monitoring.
• Grow other engineers through design and code review, pairing, mentorship, documentation, and clear technical guidance.

Skills

SQL

Data modeling

Python

dbt

Dagster

Snowflake

AI coding agents

CI/CD

Observability

Mentoring

Education

Bachelor's degree

Tools

Snowflake

dbt

Dagster

Python

Infrastructure as Code

CI/CD

Job description

National Debt Relief is seeking a Senior Data Engineer to shape the data platform architecture, reliability, and evolution supporting analytics and decision-making. You will own one or more data domains across a Snowflake-based platform, spanning ingestion, orchestration, transformation, and analytics-ready data models.

You will design and build end-to-end data pipelines using dbt, Python, Dagster, and Snowflake, ensuring data quality, security, and cost efficiency while mentoring other