Senior Engineer, Data Engineering

National Debt Relief, LLC.; Oregon; Hybrid; USD 144,000 - 166,000; Full time

Benefits offered by this job

Medical Benefits

Dental Benefits

Vision Benefits

401(k) with Company Match

Paid Holidays

Job summary

National Debt Relief seeks a Senior Data Engineer to shape the data platform architecture, reliability, and evolution across analytics and decision-making. The role focuses on Snowflake-based ingestion, orchestration, transformation, and analytics-ready models.

The candidate will own one or more data domains, drive AI-assisted development, production reliability, and cost-aware design, while mentoring engineers and advancing durable data solutions.

Qualifications

• 7+ years in data engineering, analytics engineering, or data warehouse development.
• Bachelor's degree or equivalent experience.
• Experience building data pipelines and analytics data models.

Responsibilities

• Own end-to-end data domain architecture and reliability.
• Develop Python-based ingestion pipelines and API integrations.
• Design pipelines with dbt, Dagster, and Snowflake.
• Apply AI coding agents to improve workflows and guardrails.
• Establish data quality, monitoring, and fault-tolerant designs.
• Mentor engineers and lead design reviews.

Skills

SQL

Data modeling

Python

CI/CD

Observability

AI coding agents

Mentoring

Education

Bachelor's degree in a relevant technical field

Tools

dbt

Dagster

Snowflake

Python

Infrastructure-as-code

Job description

OverviewNational Debt Relief (NDR) is seeking a Senior Data Engineer to help shape the architecture, reliability, and evolution of the data platform that supports analytics and decision‑making across the business. Reporting to the Senior Data Engineering Manager, this role will own one or more data domains across our Snowflake‑based platform, spanning ingestion, orchestration, transformation, and analytics‑ready data models. We are an AI‑first engineering team, and AI coding agents are a core part of how we develop and maintain our platform. The ideal candidate brings exceptional SQL and data modeling skills, deep expertise in one or two areas of the modern data stack, and strong range across the rest. Success in this role means turning ambiguous problems into durable solutions, owning production outcomes for critical data, establishing patterns others can build on, and raising the technical bar through design, review, and mentorship.

Responsibilities

Essential Duties/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.

Qualifications

Education/Experience

• 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.

Required Skills/Abilities

• Expert SQL and data modeling across a domain, including grain, keys, conformed dimensions, incremental strategies, layered architecture, and semantic implications.
• Strong working proficiency across dbt, Dagster, and Snowflake, plus proficiency in Python and infrastructure‑as‑code, with expert‑level depth in one or two areas of the stack.
• Advanced proficiency using AI coding agents, including recognizing likely failure modes, providing effective context and constraints, critically verifying generated work, and creating reusable workflows or guardrails.
• Strong architecture and systems thinking across dependencies, failure modes, scalability, security, maintainability, and cost.
• Systematic root‑cause analysis across multiple layers of the platform, identifying subtle or systemic problems and driving durable corrective action.
• High autonomy: able to operate from desired outcomes rather than prescribed approaches, make progress with incomplete information, and drive ambiguous work to closure.
• Clear communication of complex technical topics to engineers, analysts, business stakeholders, and leadership, with a track record of mentoring other engineers.
• Strong business acumen and prioritization judgment, connecting technical decisions to business outcomes, risk, and cost.

National Debt Relief Role Qualifications

• Computer competency and ability to work with a computer.
• Prioritize multiple tasks and projects simultaneously.
• Exceptional written and verbal communication skills.
• Punctuality expected, ready to report to work on a consistent basis.
• Attain and maintain high performance expectations on a monthly basis.
• Work in a fast‑paced, high‑volume setting.
• Use and navigate multiple computer systems with exceptional multi‑tasking skills.
• Remain calm and professional during difficult discussions.
• Take constructive feedback.
• Available for full‑time position.

Compensation Information

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for each position across the US. Within the range, individual pay is determined by work location, job‑related skills, experience, and relevant education or training. This good faith pay range is provided in compliance with NYC law and the laws of other jurisdictions that may require a salary range in job postings. The salary for this position is $144,000 to $165,500 annually.

About National Debt Relief

National Debt Relief was founded in 2009 with the goal of helping an expanding number of consumers deal with overwhelming debt. We are one of the most‑trusted and best‑rated consumer debt relief providers in the United States. As a leading debt settlement organization, we have helped over 450,000 people settle over $10 billion of debt, while empowering them to lead a healthier financial lifestyle and feel free to live their best life. At National Debt Relief, we treat our clients like real people. Our purpose is to elevate, empower, and transform their lives. Rated A+ by the Better Business Bureau, our goal is to help individuals and families get out of debt with the least possible cost through conducting financial consultations, educating the consumer and recommending the appropriate solution. We become our clients' number one advocate to help them reestablish financial stability as quickly as possible.

Benefits

• Generous Medical, Dental, and Vision Benefits
• 401(k) with Company Match
• Paid Holidays, Volunteer Time Off, Sick Days, and Vacation
• 12 weeks Paid Parental Leave
• Pre‑tax Transit Benefits
• No‑Cost Life Insurance Benefits
• Voluntary Benefits Options
• ASPCA Pet Health Insurance Discount
• Wellness Incentive Program

National Debt Relief is a certified Great Place to Work!

National Debt Relief is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law.