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Attain Finance

Non-prime consumer credit and financing platform

Principal Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Strong understanding of data quality, metadata, lineage, security, automated testing, continuous integration and continuous deployment (CI/CD), and Infrastructure as Code.
  • Ability to collaborate directly with business stakeholders and software engineers, communicate architectural tradeoffs, and influence technical decisions without direct authority.
  • Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field, or equivalent practical experience.
  • 8+ years of experience in data engineering, data architecture, or data platform development, including technical leadership of complex production systems.
  • Advanced hands-on experience with Snowflake, SQL, Python, and Apache Airflow, including data modeling, pipeline development, performance optimization, and troubleshooting.
  • Experience designing data integration and cloud-based data architectures, including AWS services.
  • Demonstrated experience independently identifying architectural problems, evaluating alternatives, proposing improvements, and leading implementation across teams.
  • Experience designing solutions across multiple business domains, including data ownership, integration boundaries, data modeling, and downstream dependencies.

Responsibilities

  • Proactively evaluate the existing data architecture, identify gaps and improvement opportunities, and propose solutions with clear tradeoffs, costs, and implementation plans.
  • Provide architectural guidance and design reviews across projects, ensuring solutions follow consistent engineering principles and account for upstream dependencies and downstream consumers.
  • Partner with business stakeholders and Software Engineering to understand business processes, data domains, ownership boundaries, and integration requirements, and translate these into appropriate data models and architectural solutions.
  • Lead the design and hands-on implementation of complex data pipelines, integration patterns, data models, and orchestration frameworks across Snowflake, AWS, and Airflow.
  • Design and implement reusable practices for automated data quality, testing, metadata, lineage, data access, and security.
  • Identify and lead improvements in performance, cost, observability, CI/CD, deployment automation, and operational reliability.
  • Drive technical initiatives from proposal through implementation, build alignment across teams, mentor engineers, and establish reusable engineering standards.

Desired Qualifications

  • Experience with SQL Server, PostgreSQL, change data capture (CDC), or event-driven architectures.
  • Experience with data catalogs, data contracts, semantic layers, or data observability.
  • Experience modernizing legacy data architectures or implementing domain-oriented data architectures.
  • Experience applying AI-assisted tools to data engineering workflows.
  • Experience in financial services or other regulated industries.

About the Company

Attain Finance

Non-prime consumer credit and financing platform

Attain Finance provides consumer credit products for underbanked individuals in the United States and Canada via an omni-channel platform that combines online, mobile, storefront, and contact center operations. It offers short-term loans, installment loans, lines of credit, and vehicle title loans, with revenue from interest and fees. It uses a proprietary underwriting engine that leverages alternative data to assess risk for non-prime borrowers and supports acquisition, servicing, and collections, under multiple brands such as Cash Money and LendDirect in Canada. Its goal is to strengthen its financial position and grow non-prime lending through data-driven underwriting and technology to help customers with limited access to traditional banking.

Company size
201-500
Company stage
IPO
Headquarters
Greenville, SC
Founded
1997

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