Data Engineer

Cascade Corporation
Winchester, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote
Winchester, United States of America

Tech stack

API
Data analysis
BigTable
Google BigQuery
Software as a Service
Continuous Integration
Information Engineering
ETL
Database Queries
Github
PostgreSQL
MariaDB
MongoDB
MySQL
NoSQL
Standard Sql
Data Streaming
Systems Integration
Snowflake
Api Design
Redshift
Databricks

Job description

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

Requirements

  • 3+ years experience in a data engineering or data analyst role
  • Experience with relational SQL and NoSQL databases, including PostgreSQL, MySQL, MariaDB, MongoDB, Bigtable, etc.
  • Experience working with loan or credit data
  • 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

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

Benefits & conditions

  • 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
  • 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

About the company

Posted 7 Hours Ago Remote Hiring Remotely in Mỹ Mid level Remote Hiring Remotely in Mỹ Mid level Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data. The summary above was generated by AI 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 in 2022, we are gearing up for our next phase of technical development and are seeking a talented Data Engineer to lead the way.

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