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Principal Data Engineer

  • Company: Everfi
  • Location: United States
  • Work type: Remote
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Everfi — company details are preparing and update automatically in a few seconds (or refresh).

Everfi is hiring a Principal Data Engineer for a full-time remote role based in the United States. This is an opportunity to drive advanced data architecture and engineering work while collaborating with teams across the country.

The Opportunity

As Principal Data Engineer at Everfi, you will shape scalable data platforms that support critical decision-making and product needs. Working remotely across the United States, you will provide technical leadership, mentor engineers, and establish best practices for modern data pipelines and infrastructure. This full-time Principal Data Engineer position allows seasoned professionals to influence strategy and execution in a remote environment while delivering high-impact results for Everfi.

Key Responsibilities

  • Architect and implement robust end-to-end data pipelines and storage solutions that handle large-scale ingestion, transformation, and delivery.
  • Lead the design of reliable, high-performance data infrastructure suitable for analytics and operational use cases.
  • Establish and enforce engineering standards, data quality practices, and observability across remote teams.
  • Collaborate with stakeholders to translate business requirements into scalable technical designs and roadmaps.
  • Mentor junior and mid-level data engineers while reviewing code, pipelines, and system designs for excellence.
  • Optimize performance, cost, and reliability of cloud-based data platforms and batch or streaming workflows.
  • Evaluate and introduce new tools and patterns that improve the overall data engineering practice at Everfi.

Qualifications

  • Extensive experience as a data engineer progressing to principal or staff level, with proven ownership of complex systems.
  • Deep expertise building and operating large-scale ETL/ELT pipelines using modern data technologies.
  • Strong proficiency in Python or equivalent languages, advanced SQL, and distributed processing frameworks.
  • Hands-on experience with cloud data services and infrastructure-as-code practices for remote and distributed environments.
  • Demonstrated ability to lead technical initiatives, influence architecture decisions, and guide cross-functional teams.
  • Solid understanding of data modeling, governance, security, and reliability for production systems.
  • Excellent communication and problem-solving skills suited to a full-time remote Principal Data Engineer role supporting United States operations.

About Everfi

Everfi is hiring for this Principal Data Engineer role and offers a supportive team environment.

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Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).

Listing facts

  • Role Principal Data Engineer
  • Employer Everfi
  • Location United States · Remote-friendly
  • Type Full Time
  • Posted July 14, 2026
  • Apply by 2026-08-13
  • Country context US
  • Overview Full original description on this page (353 words; rewritten for clarity, not a teaser paste)

Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

Typical work in Data Engineer

Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.

  • Develop and document database architectures.
  • Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
  • Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
  • Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
  • Develop data models for applications, metadata tables, views or related database structures.
  • Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.

Source: O*NET

Employer website

everfi.com

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Principal Data Engineer Everfi · United States