Everfi
Everfi
Everfi ir digitālās izglītības uzņēmums, kas skolām, darba devējiem un finanšu iestādēm veido interaktīvu mācīšanos tiešsaistē. Tā programmas aptver finanšu pratību, veselību un labklājību, gatavību darba tirgum, STEM jomas un atbilstību prasībām, kā arī piedāvā sponsorēta vai ar citu zīmolu nodrošināta satura iespējas. Everfi ar SaaS platformas palīdzību atbalsta arī darbinieku brīvprātīgo darbu, stipendijas un klientu izglītošanu, nodrošinot pārskatus un analītiku par dalību, iesaisti un mācību rezultātiem.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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