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Engineer, Data Engineering

Location not identified

Pay
$125,000–144,000/year — pay source
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 $125,000 to $144,000 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.
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Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Apply at National Debt Relief

What you’ll work on

Full posting
  • Own data engineering projects end to end, from scope through verified delivery

  • Build pipelines and workflows with dbt, Python, Dagster, and Snowflake

  • Build Python ingestion pipelines that pull data from APIs and third-party systems

  • Monitor production pipelines, handle morning load failures, and triage incidents

  • Manage Snowflake access controls and infrastructure as code, and tune warehouse costs

From the employer’s posting
Own data engineering projects end to end across ingestion, orchestration, transformation, and the analytics layer
Design and build data pipelines and workflows using dbt, Python, Dagster, and Snowflake
Develop and maintain Python-based ingestion pipelines when custom pipelines are required, integrating data from APIs and third-party systems.
Monitor and support production pipelines, including morning load failures (Eastern Time working hours), on-call rotation, and incident triage.
Manage Snowflake infrastructure and access controls for sensitive data through infrastructure-as-code

What you’ll bring

All qualifications

Core experience

  • 4+ years of experience in data engineering, analytics engineering, or data warehouse development.
  • Strong SQL and data modeling skills, including the ability to define appropriate grain and keys, design incremental strategies, organize models into maintainable layers, and make sound tradeoffs between simplicity, performance, and usability.
  • Bachelor’s degree in a relevant technical field, or equivalent practical experience.
  • Demonstrated proficiency using AI coding agents, including providing clear context and constraints, breaking work into effective tasks, and critically reviewing generated code and outputs.
  • Experience using Python to retrieve and integrate data from APIs.
  • Ability to diagnose data and pipeline issues across multiple layers of the platform, identify root causes, and distinguish one-off failures from systemic problems that require a more durable solution.

Preferred experience

  • Experience in financial services or related industries preferred
  • Experience with Terraform or similar infrastructure-as-code tooling preferred.
  • Experience with semantic layers, metric definitions, or BI tools preferred.
Qualification wording
4+ years of experience in data engineering, analytics engineering, or data warehouse development.
Strong SQL and data modeling skills, including the ability to define appropriate grain and keys, design incremental strategies, organize models into maintainable layers, and make sound tradeoffs between simplicity, performance, and usability.
Bachelor’s degree in a relevant technical field, or equivalent practical experience.
Demonstrated proficiency using AI coding agents, including providing clear context and constraints, breaking work into effective tasks, and critically reviewing generated code and outputs.
Experience using Python to retrieve and integrate data from APIs.
Ability to diagnose data and pipeline issues across multiple layers of the platform, identify root causes, and distinguish one-off failures from systemic problems that require a more durable solution.
Experience in financial services or related industries preferred
Experience with Terraform or similar infrastructure-as-code tooling preferred.
Experience with semantic layers, metric definitions, or BI tools preferred.
Education & alternatives
- 4+ years of experience in data engineering, analytics engineering, or data warehouse development. - Bachelor’s degree in a relevant technical field, or equivalent practical experience. - Experience using Python to retrieve and integrate data from APIs.

Tools in this posting

  • Python
  • SQL
  • dbt
  • Snowflake
  • Terraform
  • Dagster
Source — Tool mentions in context
- Own data engineering projects end to end across ingestion, orchestration, transformation, and the analytics layer, including loosely scoped ones, from defining scope through verified delivery. - 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, making sound modeling and design decisions within the established architecture.
- 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, making sound modeling and design decisions within the established architecture. - Use AI coding agents as a core part of daily work, directing them effectively and taking full responsibility for reviewing and verifying everything you ship.
- Bachelor’s degree in a relevant technical field, or equivalent practical experience. - Experience using Python to retrieve and integrate data from APIs. - Experience with CI/CD workflows, version control, and automated testing for data pipelines.
- Strong SQL and data modeling skills, including the ability to define appropriate grain and keys, design incremental strategies, organize models into maintainable layers, and make sound tradeoffs between simplicity, performance, and usability. - Working proficiency across dbt, Dagster, and Snowflake, with familiarity with Python and infrastructure-as-code. Strong depth in at least one area of the stack and the judgment to know when to pull in additional expertise. - Demonstrated proficiency using AI coding agents, including providing clear context and constraints, breaking work into effective tasks, and critically reviewing generated code and outputs.
National Debt Relief (NDR) is seeking a Data Engineer to join our Data Engineering team and help build, operate, and improve the data platform that supports analytics and decision-making across the business. Reporting to the Senior Data Engineering Manager, this role will work across our Snowflake-based platform, including 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. Success in this role requires strong technical judgment, a clear understanding of the systems and data you support, and ownership of production outcomes. The ideal candidate brings strong SQL and data modeling fundamentals, strong depth in at least one area of the modern data stack, and the ability to work effectively across the broader platform. This role is well suited for an engineer who is curious, proactive, and focused on delivering reliable, maintainable data solutions. ** We are receiving an overwhelming number of applications for this role. We are unable to reply to emails with application status updates, but please know that we are reviewing each and every profile and will be in touch, as applicable.
Required Skills/Abilities - Strong SQL and data modeling skills, including the ability to define appropriate grain and keys, design incremental strategies, organize models into maintainable layers, and make sound tradeoffs between simplicity, performance, and usability. - Working proficiency across dbt, Dagster, and Snowflake, with familiarity with Python and infrastructure-as-code. Strong depth in at least one area of the stack and the judgment to know when to pull in additional expertise.
Overview National Debt Relief (NDR) is seeking a Data Engineer to join our Data Engineering team and help build, operate, and improve the data platform that supports analytics and decision-making across the business. Reporting to the Senior Data Engineering Manager, this role will work across our Snowflake-based platform, including 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. Success in this role requires strong technical judgment, a clear understanding of the systems and data you support, and ownership of production outcomes. The ideal candidate brings strong SQL and data modeling fundamentals, strong depth in at least one area of the modern data stack, and the ability to work effectively across the broader platform. This role is well suited for an engineer who is curious, proactive, and focused on delivering reliable, maintainable data solutions.
- Monitor and support production pipelines, including morning load failures (Eastern Time working hours), on-call rotation, and incident triage. - Manage Snowflake infrastructure and access controls for sensitive data through infrastructure-as-code, following security, governance, and privacy standards. - Optimize Snowflake performance and manage compute costs through efficient query design, warehouse tuning, and resource utilization monitoring.
- Manage Snowflake infrastructure and access controls for sensitive data through infrastructure-as-code, following security, governance, and privacy standards. - Optimize Snowflake performance and manage compute costs through efficient query design, warehouse tuning, and resource utilization monitoring. - Identify opportunities to improve the platform and turn them into well-defined work; evaluate requirements critically and escalate decisions beyond your scope with recommended solutions.
- Experience in financial services or related industries preferred - Experience with Terraform or similar infrastructure-as-code tooling preferred. - Experience with semantic layers, metric definitions, or BI tools preferred.

Benefits in the posting

Full benefits wording
  • Our extensive benefits package includes:
  • 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

From the employer’s posting.

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 2026 · 1 day ago
Recorded sightings
3
Last seen by us
Oct 31, 2026

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  • Check the listed location, eligibility and core experience before starting.

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Job description

View original posting ↗

Overview

National Debt Relief (NDR) is seeking a Data Engineer to join our Data Engineering team and help build, operate, and improve the data platform that supports analytics and decision-making across the business. Reporting to the Senior Data Engineering Manager, this role will work across our Snowflake-based platform, including 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. Success in this role requires strong technical judgment, a clear understanding of the systems and data you support, and ownership of production outcomes. The ideal candidate brings strong SQL and data modeling fundamentals, strong depth in at least one area of the modern data stack, and the ability to work effectively across the broader platform. This role is well suited for an engineer who is curious, proactive, and focused on delivering reliable, maintainable data solutions.

 

 

** We are receiving an overwhelming number of applications for this role.  We are unable to reply to emails with application status updates, but please know that we are reviewing each and every profile and will be in touch, as applicable.

 

 

Responsibilities

Essential Duties/Responsibilites

  • Own data engineering projects end to end across ingestion, orchestration, transformation, and the analytics layer, including loosely scoped ones, from defining scope through verified delivery.
  • 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, making sound modeling and design decisions within the established architecture.
  • Use AI coding agents as a core part of daily work, directing them effectively and taking full responsibility for reviewing and verifying everything you ship.
  • Ensure data quality and trust through testing, data contracts, and automated alerting.
  • Monitor and support production pipelines, including morning load failures (Eastern Time working hours), on-call rotation, and incident triage.
  • Manage Snowflake infrastructure and access controls for sensitive data through infrastructure-as-code, following security, governance, and privacy standards.
  • Optimize Snowflake performance and manage compute costs through efficient query design, warehouse tuning, and resource utilization monitoring.
  • Identify opportunities to improve the platform and turn them into well-defined work; evaluate requirements critically and escalate decisions beyond your scope with recommended solutions.
  • Collaborate with engineers, analysts, and business stakeholders through code review, documentation, and active participation in team discussions.

Qualifications

Education/Experience

  • 4+ years of experience in data engineering, analytics engineering, or data warehouse development.
  • Bachelor’s degree in a relevant technical field, or equivalent practical experience.
  • Experience using Python to retrieve and integrate data from APIs.
  • Experience with CI/CD workflows, version control, and automated testing for data pipelines.
  • Experience in financial services or related industries preferred
  • Experience with Terraform or similar infrastructure-as-code tooling preferred.
  • Experience with semantic layers, metric definitions, or BI tools preferred.

Required Skills/Abilities

  • Strong SQL and data modeling skills, including the ability to define appropriate grain and keys, design incremental strategies, organize models into maintainable layers, and make sound tradeoffs between simplicity, performance, and usability.
  • Working proficiency across dbt, Dagster, and Snowflake, with familiarity with Python and infrastructure-as-code. Strong depth in at least one area of the stack and the judgment to know when to pull in additional expertise.
  • Demonstrated proficiency using AI coding agents, including providing clear context and constraints, breaking work into effective tasks, and critically reviewing generated code and outputs.
  • Ability to diagnose data and pipeline issues across multiple layers of the platform, identify root causes, and distinguish one-off failures from systemic problems that require a more durable solution.
  • Ownership mindset: acting on problems in your area without waiting for assignment and treating work as done when the data is right, not when the pull request merges.
  • Develop a strong understanding of the pipelines and data domains you support, including key dependencies, business logic, failure modes, and downstream consumers.
  • Clear, timely, and proactive written communication, including raising blockers early.
  • Business acumen and skill at translating business needs into technical solutions.
  • Effective prioritization across multiple projects while keeping progress visible.

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 $125,000 to $144,000 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.

 

Want to learn more about who we are? Connect with us on social!

 

       

 

Benefits

National Debt Relief is a team-oriented environment full of rewards and growth opportunities for our employees. We are dedicated to our employee's success and growth within the company, through our employee mentorship and leadership programs.

 

Our extensive benefits package includes:

  • 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.

 

For information about our Employee Privacy Policy, please see hereFor information about our Applicant Terms, please see here

 

#LI-REMOTE

#LI-CB1

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Pay
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 $125,000 to $144,000 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.
Location & working pattern

Location not supplied.

For information about our Employee Privacy Policy, please see hereFor information about our Applicant Terms, please see here #LI-REMOTE #LI-CB1
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No clear work-authorization passage found. Eligibility is unconfirmed.

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