Data Quality QA Engineer

Data Quality Engineer

Remote (Brazil Only)

$50k - $60k per year + Stock

Argyle is a fast-growing, remote-first Series B startup solving a systemic data problem.

Underneath the consumer finance industry’s decisions and processes is static, analog documentation—things like credit reports and paystubs—designed decades ago for a world that no longer exists. Meanwhile, credit bureaus buy, move, store, and sell consumers’ data without their knowledge or consent.

The result? A labyrinth of manual workflows and shortsighted underwriting models that obstruct financial access, compound operational costs, and impede innovation.

The solution is Argyle. We’re a real-time income data platform that lets our end-users instantly connect their employment records to apps and websites, so they can access and qualify for the financial resources they need to get ahead. Providers benefit from streamlined workflows and enhanced visibility that reduce costs and risk across the user journey.

Our mission is to give consumers the means to exercise ownership over their income, employment, and identity data in order to create a more equal, efficient, and effective financial system for everybody.

If you’re looking to join a fun and ambitious group of people working remotely across dozens of countries, apply today.

About the team

Argyle’s Data Quality (DQ) team works alongside our Network Growth and Scanners (Engineering, Infra, R&D) teams. Together they form the Data Organization (vertical), whose mission is to achieve the maximum user conversion and the highest data quality of structured employment records available anywhere. Quality matters as much as quantity; this is where the DQ team comes in. The team is at the heart of our product and is responsible for data research, knowledge management, quality assurance, and internal BI. With recent expansions into data engineering and automation fields, the team's mandate doesn't end there. Argyle has high expectations for the team - we want DQ to become part of our common vocabulary and help us shape our data strategy.

What will you do?

• You'll become the trusted data analysis and investigations expert in the Data Organization. Everyone will turn to you for all their data-related questions and conundrums.
• Get ready to roll up your sleeves and build awesome dashboards, monitoring, and alerting solutions! These tools will help the company monitor data quality day and night, ensuring everything runs smoothly.
• Collaboration is key! You'll team up with the Analytics squad to expand our Data Warehouse and Analytics capabilities. Together, you'll uncover insights and unlock the true potential of our data.
• Join the future of data! Your contributions to ML-driven solutions will power our data processing and governance pipelines, making data management an efficient and exciting journey.

What are we looking for?

• You're a proactive self-starter who doesn't wait to be told what to do. You're full of ideas, ready to pitch them and take the necessary steps to get things moving.
• You have a strong focus on data. Our data is at the core of our business, and you understand the importance of maintaining its quality.
• A tech-savvy mindset is essential. We're a software company, and while we're not afraid of hard work, we value efficiency. You're all about automation, scalability, and future-proofing.
• We operate in uncharted territories as a startup. That doesn't faze you. You're comfortable tackling new challenges head-on, breaking down complexity, adapting quickly, and delivering practical solutions.

Requirements

• Strong SQL skills are a must.
• It would be great if you have experience with Python data analytics libraries like Pandas, NumPy, and SciPy.
• Exposure to cloud computing, specifically GCP (Google Cloud Platform), and APIs is desirable.
• Bonus points if you have experience with machine learning frameworks such as TensorFlow and PyTorch.

Why Argyle?

• Remote first company
• International environment
• Flexible working hours
• Stock Options
• Flexible vacation leave
• $1,000 after a month of employment to set up your home office.
• MacBook

At Argyle, we wholeheartedly embrace diversity and foster equal opportunities for all. We are dedicated to assembling a team encompassing a rich tapestry of backgrounds, perspectives, and talents. We firmly believe that the greater our inclusivity, the stronger and more vibrant our company becomes.