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

BrightCat Data & Analytics Inc.; Grande Prairie; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading Canadian data company is looking for a hands-on Data Engineer / Programmer for a contract role focused on automating and streamlining internal data infrastructure. The successful candidate will design and implement data pipelines using AWS, and ensure data accuracy across various consumer datasets. Candidates should demonstrate strong Python and SQL skills, with proven experience in ETL development and dashboard creation.

Qualifications

• Experience with address-level or consumer datasets is crucial.
• Ability to communicate clearly and document work is required.
• Hands-on experience with ETL and data QA processes is important.

Responsibilities

• Processing structured data files weekly for various purposes.
• Building automated data pipelines and internal dashboards.
• Conducting thorough data QA to ensure accuracy.

Skills

Python

SQL

AWS

ETL development

Data QA

Data pipeline development

Tools

Snowflake

AWS S3

AWS Lambda

AWS Glue

AWS Step Functions

Streamlit

Quicksight

Redash

Job description

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 :
• 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
• 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 :

Create a job alert for this search

Contract Opportunity • grande prairie, ab, Canada