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Contract Opportunity at BrightCat Data: Data Engineer (Remote, 6-8 Week Project)

  • Full Time
  • Anywhere

BrightCat Data & Analytics Inc.



BrightCat Data is a leading Canadian data company trusted by enterprise clients in finance, telecom, and insurance. We’re hiring a hands-on Data Engineer / Programmer on a contract basis to help automate and streamline our internal data infrastructure.

This project is scoped for delivery over approximately 6-8 weeks, depending on your pace and approach. We’re open to milestone-based or time-based billing and value efficient, high-quality work.



What You’ll Be Working On:

  • Processing structured data files on a weekly cadence
  • Cleaning, merging, and normalizing input from multiple third-party data sources
  • Building an automated data pipeline using AWS (S3, Lambda, Glue, Step Functions)
  • Loading processed output into Snowflake
  • Designing a secure internal dashboard (e.g., Streamlit, Quicksight, or Redash) to:
  • Run ad hoc queries
  • Export filtered datasets
  • Apply search and segment filters
  • Support internal users with role-based access
  • Tracking changes and lifecycle events at the address level
  • Conducting thorough data QA to ensure accuracy across historical and incoming data

You’re a Fit If You:

  • Have strong experience with Python, SQL, and AWS services (especially S3, Lambda, Glue, Step Functions)
  • Have worked with consumer datasets and address-level data (e.g., real estate, telecom, utilities, insurance, or direct marketing)
  • Can build systems that detect changes and patterns over time in property- or address-level data
  • Have hands-on experience with ETL development, data QA, and loading into modern cloud data warehouses (e.g., Snowflake)
  • Can work independently or deliver through a small agency setup (must assign one accountable owner)
  • Communicate clearly and document your work for internal use
  • Include a cover letter that outlines your experience with address-level or consumer datasets


To Apply:


Please send:

  • A brief cover letter that highlights your experience working with address-level or consumer datasets
  • Your resume
  • Your proposed rate (monthly, hourly, or milestone-based)
  • A short example of a similar project you’ve completed
  • Confirmation that you’re able to sign an NDA

️ Applications without a cover letter detailing address or consumer data experience will not be reviewed.



Email:

To apply, please visit the following URL:

THISJOB.CA