Principal Data Engineer

Americor-posted 8 days ago
$120,000 - $150,000/Yr
Full-time • Mid Level
Hybrid • Irvine, CA
1,001-5,000 employees
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Americor is a leading provider of debt relief solutions for people of all backgrounds. We offer various services to help our clients achieve financial freedom, including debt consolidation loans, debt settlement, and credit repair. Our dedication to others sets us apart – not only as a company but as a community of employees who support each other’s personal and professional growth. Recognized as a ‘Top Place to Work’ and ‘Best Company’ for our outstanding service and commitment to excellence. We are currently seeking a Principal/Lead Analytics Engineer to join our rapidly growing team. Specific job title and offer to align with the qualifications of the candidate. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time

  • Own bridge between data engineering, data science, and business intelligence for data analytics.
  • Build and maintain ETL/ELT processes using Airflow, dbt, and custom Python scripts.
  • Design and implement scalable, robust, and efficient data pipelines.
  • Demonstrate and ensure best practices for data security, data validation and data quality are in place and maintained.
  • Stay current with the latest trends and developments in data engineering; champion internal adoption and change management of the latest practices.
  • Other duties as assigned.
  • 7+ years of relevant experience.
  • Advanced proficiency with Python.
  • Advanced proficiency with SQL.
  • Advanced skills with database architecture and data pipelining.
  • Experience utilizing cloud services to develop ETL/ELT pipelines; AWS Lambda, S3, etc., preferred.
  • Experience using orchestrator, scheduling, and monitoring tools; Airflow and cron preferred.
  • Experience leveraging git for codebase source control; experience developing GitHub/Bitbucket CI/CD pipelines preferred.
  • Proven ability to position oneself to advise and teach across a data organization.
  • Excellent verbal, written, and interpersonal communication skills.
  • Experience with dbt core cli preferred.
  • Experience with Docker and docker-compose preferred.
  • Master’s degree preferred.
  • Ongoing training and development
  • Opportunity for career advancement
  • Medical
  • Dental
  • Vision
  • Company Paid Group Life / AD&D Insurance
  • 7 Paid Holidays and 2 Floating Holiday Days to use at will
  • Paid Time Off
  • Flexible Spending/HSA
  • Employee Assistance Program (EAP)
  • 401(k) match
  • Referral Program
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