Everfi
Everfi
Everfi este o companie de educație digitală care creează experiențe de învățare online interactive pentru școli, angajatori și instituții financiare. Programele sale acoperă educația financiară, sănătatea și starea de bine, pregătirea pentru piața muncii, domeniile STEM și conformitatea, oferind opțiuni de livrare sponsorizată sau sub marca partenerului. Everfi sprijină, de asemenea, voluntariatul angajaților, bursele și educația clienților printr-o platformă software ca serviciu care oferă rapoarte și analize privind participarea, implicarea și rezultatele învățării.

Principal Data Engineer at Everfi (Remote, United States)

Lead data platform architecture and scalable pipeline development for Everfi’s digital learning products. Mentor engineers and shape technical decisions across teams.

Descriere

  • Lead the design and delivery of complex data engineering initiatives.
  • Build advanced pipelines and platform architecture that drive meaningful product or business outcomes.
  • Address scalability limits, data quality problems, architectural debt, and reliability risks.
  • Assess and recommend data technologies, tools, cloud services, orchestration frameworks, and transformation solutions.
  • Coach data engineers through code reviews, architecture guidance, and practical support.
  • Establish and document engineering standards, architectural patterns, and best practices.
  • Contribute to architecture discussions, design reviews, and pull request reviews.
  • Work with product, analytics, and operations teams on complex data initiatives.
  • Represent data engineering in cross-team planning.
  • Explain technical ideas and architectural trade-offs to both technical and non-technical audiences.
  • Assess new tools, frameworks, and architectural approaches.
  • Run proof-of-concept projects and recommend next steps.
  • Share technical insights and learning with the team.

Cerințe

  • At least 7–10 years of experience in data engineering.
  • Demonstrated success building complex, production-ready pipelines and platforms at scale.
  • Extensive knowledge of data architecture, pipeline design, and platform engineering.
  • Experience with batch and streaming systems, data warehouses, and lakehouse architectures.
  • Experience using Airflow, Spark, dbt, or Databricks.
  • Strong command of at least one cloud data platform: AWS, GCP, or Azure.
  • Experience with Snowflake, Redshift, or BigQuery.
  • Advanced Python and SQL skills.
  • Bachelor’s degree in computer science, engineering, mathematics, or a related discipline.
  • Snowpark and Snowflake ML or AI experience is a plus.
  • Scala or Java proficiency is a plus.
  • A coaching approach and enthusiasm for mentoring engineers.
  • Clear, confident communication with technical and non-technical audiences.
  • dbt Certified Developer credential preferred.
  • SnowPro or advanced Snowflake certification preferred.
  • Apache Airflow experience or certification preferred.

Beneficii

  • Eligible for the Corporate Bonus Plan.
  • Fully remote role.
  • Health insurance.
  • Dental insurance.
  • Vision insurance.
  • 401(k) plan with employer matching.
  • Flexible paid time off.

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