Principal Data Engineer

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $160k - $170k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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Everfi

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Everfi is a digital education company that delivers interactive, standards-aligned online courses and workplace training focused on financial literacy, health & wellness, workforce readiness, STEM, and compliance topics. It partners with K–12 school districts, teachers, financial institutions, and employers to provide free or sponsored and white‑labeled programs, employee-volunteering opportunities, scholarships, and scalable customer education solutions. Everfi operates a data-driven SaaS platform with robust reporting and analytics to measure reach, engagement, and outcomes across education and corporate training initiatives.

📋 Description

• Own the design, architecture, and implementation of complex data engineering initiatives • Develop advanced data pipelines and data platform architecture with significant product or business impact • Identify and solve scalability constraints, data quality issues, architectural debt, and reliability gaps • Evaluate and recommend data engineering technologies, tools, cloud services, orchestration frameworks, and transformation tooling • Mentor data engineers through code review, architectural guidance, and hands-on coaching • Define and document data engineering standards, architectural patterns, and best practices • Participate in architecture discussions, design reviews, and pull request feedback • Partner with product, analytics, and operations stakeholders on complex data initiatives • Represent data engineering in cross-functional planning conversations • Communicate technical concepts and architectural trade-offs to technical and non-technical stakeholders • Evaluate emerging tools, frameworks, and architectural approaches • Conduct proof-of-concept work and provide recommendations • Share technical learning with the team

🎯 Requirements

• 7–10+ years of data engineering experience • Track record of building complex, production-grade pipelines and platforms at scale • Deep expertise in data architecture, pipeline design, and platform engineering • Experience with batch/streaming systems, data warehouse and lakehouse architectures • Experience with Airflow, Spark, dbt, or Databricks • Strong proficiency in cloud data platforms: AWS, GCP, or Azure • Experience with Snowflake, Redshift, or BigQuery • Advanced skills in Python and SQL • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field • Snowpark and Snowflake ML/AI experience is a plus • Proficiency in Scala or Java is a plus • Coaching mindset and interest in mentoring engineers • Clear, confident communication with technical and non-technical audiences • dbt Certified Developer preferred • SnowPro Certification or advanced Snowflake certifications preferred • Experience with or certification in Apache Airflow preferred

🏖️ Benefits

• Corporate Bonus Plan eligibility • 100% remote position • Health insurance • Dental insurance • Vision insurance • 401(k) with matching contribution • Flexible Paid Time Off (PTO)