Data Engineer

Cascade Debt; Toronto; Remote; CAD 110,000 - 240,000; Full time

Job summary

Join a fintech startup as a Data Engineer where you'll be pivotal in building scalable data systems. You'll design and maintain data pipelines that support global financial operations. The role offers autonomy and the chance to have a real impact in a dynamic and flexible environment.

Benefits

Home-office allowance of $1000 USD

Weekly free lunches

Equity participation

Health, dental, and vision benefits

Flexible hours

Off-site trips

Opportunities for mastery

Qualifications

• 3+ years of experience as a Data Engineer.
• Experience with relational SQL and NoSQL databases.
• Proficient in writing SQL queries and knowledge of analytical data warehouses.

Responsibilities

• Design and build scalable data pipelines.
• Ingest financial datasets and maintain accurate data mappings.
• Monitor data pipelines for reliability.

Skills

Data Engineering

SQL

NoSQL

ETL Technologies

API Development

Job description

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Do you want to work in a small team where you can make a real difference in a company? Would you embrace the challenge of building a high impact platform that is used globally? Then we want to speak with you!

About Cascade :

Cascade is a fintech startup backed by Canadian and US investors that empowers companies to grow by democratizing access to institutional debt. We are building tools that modernize how companies raise and manage debt, lowering the barriers to entry to the $7 trillion specialty finance and alternative credit market for companies around the world. Founded just last year, we are gearing up for our next phase of technical development and are seeking a talented Data Engineer to lead the way.

About the role :

As a Data Engineer you’ll be an early member of a growing team building a pioneering platform in the debt infrastructure space. You will design, build, and launch efficient, scalable, and reliable data pipelines to move and transform data.

What You’ll Do

• Building databases, data lakes and data ingestion pipelines to integrate customer databases and datasets to our systems
• Ingesting financial datasets from external customers, then updating and maintaining accurate and complete data mappings to ensure that our products are displaying high quality data
• Monitoring and alerting across our data pipelines in order to make sure that our data ingests are reliable and correct
• Translating business goals and stakeholder requirements into new data flows and deliver analytical insights ensuring that the data flows create real business value continuously

Skills And Experience

• 3+ years experience in a data engineering role
• Experience with relational SQL and NoSQL databases, including PostgreSQL, MySQL, MariaDB, MongoDB, Bigtable, etc.
• Experience working with ETL technologies, such as Databricks, Fivetran, or dbt
• Proficiency in writing SQL queries and knowledge of analytical data warehouses such as RedShift, BigQuery, and Snowflake
• Some experience with CI / CD automation such as GitHub Actions
• Developing APIs and integrating with 3rd party APIs
• Bonus : experience in fintech / SaaS / credit analysis / lending

People who thrive at Cascade are :

• Self-starters, who take the initiative to tackle challenges in a remote work environment
• Good communicators, who can operate without ego to discuss, learn, grow, and help others do the same
• Passionate about creating great digital experiences for users
• Problem solvers who are not satisfied with the status quo
• Remote : we are a remote-first company and are very flexible on hours as long as things get done
• Home-office : there’s a $1000 USD home office allowance to set yourself up
• Equity : we expect you to have an owner-mentality, and have the equity plan to match
• Benefits : health, dental, vision, and more
• Perks : we offer free lunches weekly and off-site trips
• Job satisfaction : we offer autonomy, ample opportunities for mastery, and an opportunity to make a difference for companies around the world

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Capital Markets

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