Principal Data Engineer at EVERFI

Staff

Data engineering

Data Architecture

Python

+5 more

Job Description

Principal Data Engineer Compensation and Benefits

Target base salary range: $160,000 to $170,000 depending on experience and education. Everfi may pay more or less based on employee qualifications, market value, Company finances, and other operational considerations.

This role is eligible to participate in the Corporate Bonus Plan

100% Remote position

Health, Dental, and Vision insurance

401(K) with matching contribution

Flexible Paid Time Off (PTO)

Principal Data Engineer Responsibilities

Distinguished Technical Contribution

Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture, and solutions with significant downstream product or business impact
Identify and address difficult technical problems within the data platform, including scalability constraints, data quality issues, architectural debt, and reliability gaps, and develop solutions that are durable and aligned with organizational priorities
Evaluate and recommend data engineering technologies, tools, and architectural patterns — including cloud platform services, orchestration frameworks, and transformation tooling — with sound analytical judgment and awareness of long-term implications

Technical Mentorship and Standards

Serve as a technical mentor and senior resource for data engineers across the team, providing code review, architectural guidance, and hands-on coaching that accelerates the growth of engineers at earlier career stages
Contribute to the definition and documentation of data engineering standards, architectural patterns, and best practices that improve quality and consistency across the team's work
Participate in technical reviews — including architecture discussions, design reviews, and pull request feedback — contributing senior-level judgment that raises the quality of the team's collective output

Cross-Functional Technical Partnership

Partner with product, analytics, and operations stakeholders on complex data initiatives that require deep technical expertise — translating requirements into sound engineering solutions and surfacing trade-offs clearly
Represent data engineering in cross-functional planning conversations where data infrastructure decisions have product, analytical, or operational implications
Communicate complex data engineering concepts and architectural trade-offs clearly to both technical and non-technical stakeholders, enabling well-informed decisions across functions

Research and Technical Growth

Stay current with developments in data engineering, cloud platforms, and adjacent disciplines — evaluating emerging tools, frameworks, and architectural approaches for relevance to the team's direction
Conduct proof-of-concept work on promising approaches with clear evaluation criteria and well-framed recommendations
Share technical learning with the team in ways that are organized, actionable, and useful for planning and day-to-day engineering decisions

Principal Data Engineer Qualifications

7–10+ years of data engineering experience, with a track record of building complex, production-grade pipelines and platforms at scale
Deep expertise in data architecture, pipeline design, and platform engineering — including batch/streaming systems, data warehouse and lakehouse architectures, and tools like Airflow, Spark, dbt, or Databricks
Strong proficiency in cloud data platforms (AWS, GCP, or Azure) and services such as Snowflake, Redshift, or BigQuery. Snowpark and Snowflake ML/AI experience is a plus
Advanced skills in Python and SQL; proficiency in Scala or Java is a plus
A coaching mindset — you enjoy mentoring engineers and raising the bar for the team around you
Clear, confident communicator who can translate complex technical concepts for both technical and non-technical audiences
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree preferred

Preferred Qualifications

dbt Certified Developer
SnowPro Certification or advanced Snowflake certifications (Architect, Data Engineer, MLOps Engineer)
Experience with or certification in Apache Airflow

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Paid Time Off

Skills

Data engineering

Data Architecture

Python

SQL

Cloud platforms

Snowflake

Apache Airflow

Pipeline design

Ready to Apply?

Join EVERFI today

Salary Range

$160k - $170k

Posted 13 hours ago

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