Director of Data Engineering

Beaverton, OR, United States

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Concora Credit Inc.

At Concora Credit, we put customers first by providing non-prime consumers access to quality credit products that are transparent and affordable.

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Overview

As a Director of Data Engineering, you’ll help drive Concora Credit’s Mission to enable customers to Do More with Credit – every single day.

 

The impact you’ll have at Concora Credit:

We are seeking a strategic and hands-on Director of Data Engineering to lead the design, development, and scaling of our enterprise data platform. This individual will be responsible for building and managing a high-performing engineering team, setting the technical vision for our data architecture, and enabling robust data infrastructure that powers analytics, machine learning, and AI across the company.

 

We seek an experienced professional with expertise in cloud-first technologies and modern data practices-someone with an owner/operator philosophy who is excited about delivering modern, data-driven experiences, inspiring your staff and colleagues to do new things, and who is ever-curious and eager to learn. If you're a leader who gets things done, values collaboration, transparent communication, and empowering the exceptional people who work alongside you, we'd love to have you join us!

 

This position is located at our Beaverton, OR, office and has a hybrid schedule. We’re onsite Monday through Wednesday, where you will lead a team of data engineers working in the office and across the country.

 

We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We’re an established company with over 20 years of experience, but now we’re taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.

Responsibilities

As our Director of Data Engineering, you will:

Leadership & Strategy:

  • Define and drive the vision, strategy, and roadmap for the company’s data platform
  • Collaborate with product, analytics, data science, and business teams to understand data needs and ensure implementation of scalable, reliable data services

Team Management:

  • Lead, mentor, and scale a team of data engineers, architects, and data platform specialists
  • Foster a high-performance culture with a focus on innovation, quality, and continuous improvement

Data Infrastructure and Platform Engineering:

  • Own the data infrastructure (data lake, data warehouse, ETL/ELT pipelines, orchestration tools, observability)
  • Design and implement scalable, reliable, and secure data pipelines and platforms (e.g., data lakes, data warehouses, real-time data streaming)
  • Oversee the integration of structured and unstructured data from multiple sources, ensuring data quality, lineage, and governance
  • Ensure high availability, performance, and cost-efficiency of data systems

Compliance & Security:

  • Work with security and compliance teams to define policies on access control and data privacy and implement controls for PCI

Innovation & Optimization:

  • Stay informed about emerging technologies in data engineering and apply them where applicable
  • Continuously evaluate and improve platform scalability, performance, and developer experience

These duties must be performed with or without reasonable accommodation.

 

We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.

Qualifications

Requirements:

  • 10+ years of experience in data engineering, with at least 3-5 years in a leadership or management role
  • Extensive experience in data leadership roles, including responsibilities for team composition, performance, technology strategy, execution, and lifecycle management
  • Expertise in development and delivery, including modern data integrations, and cloud-data platforms where quality, scalability, and 24x7x365 availability are key
  • Solid collaboration skills, a focus on building strong relationships, and a desire to foster an environment of mutual support and success where delivery is an enterprise goal
  • Experience mentoring and supporting teams to develop new muscles, evolve their ways of thinking, and adopt new standards in quality and development
  • Deep understanding of the modern skills, processes, tools, and methodologies required to rapidly develop, deliver, and iterate high-quality, secure software and services
  • Deep expertise in modern data architecture (e.g., data lakes, lakehouses, warehouses)
  • Proven experience with technologies like Spark, Airflow, Kafka, Databricks, and cloud platforms (Azure, AWS, or GCP). Azure Databricks experience is strongly preferred
  • Strong understanding of data modeling, streaming & batch data pipelines, and orchestration
  • Strong project management and cross-functional communication skills
  • Expertise in rapid delivery and automation through CI/CD pipelines and a team focus on measurable security, performance, and quality
  • Budget, vendor, and technology lifecycle management experience

Preferred Qualifications:

  • Experience in a highly regulated or data-intensive industry (e.g., fintech, SaaS)
  • Knowledge of machine learning platforms and MLOps

What’s In It For You:

  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

 

Concora Credit is an equal opportunity employer (EEO).

 

Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Airflow Architecture AWS Azure CI/CD Databricks Data pipelines Data quality Data warehouse ELT Engineering ETL FinTech GCP Kafka Machine Learning MLOps Pipelines Privacy Security Spark Streaming Unstructured data

Perks/benefits: 401(k) matching Career development Fitness / gym Flex hours Flex vacation Health care Insurance Wellness

Region: North America
Country: United States

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