Intermediate-Senior Snowflake Data Engineer

KData Inc.; United States; Remote; USD 73,000 - 77,000; Full time

Job summary

KData Inc. invites a skilled Intermediate–Senior Data Engineer (Snowflake) for a remote Canada-based contract. You will design and operate Snowflake-based data pipelines, models, and architectures to support reporting, analytics, and ML use cases.

The ideal candidate has 3–7 years in data engineering, strong Snowflake, SQL, and Python skills, plus DBT and Airflow experience. This 6‑month role offers 75–80 CAD per hour with strong renewal potential.

Qualifications

• 3–7 years of experience in Data Engineering.
• Proven expertise in Snowflake: warehousing concepts, performance tuning, Snowpipe, Streams & Tasks.
• Experience building data pipelines using DBT, Apache Airflow, or equivalent.
• Proficient in SQL and scripting languages (Python).
• Familiar with cloud platforms (AWS preferred).
• CI/CD pipelines and version control (Git).
• Strong governance, security, and compliance knowledge.

Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines on Snowflake.
• Work with large volumes of structured and semi-structured data.
• Design data models and schemas in Snowflake to support reporting/ML use cases.
• Collaborate with data architects to align with data strategy and standards.
• Ensure data quality, governance, and security across solutions.
• Optimize Snowflake performance and cost through resource management.
• Automate data pipeline deployment, testing, and monitoring.
• Mentor junior team members and participate in code reviews.

Skills

Snowflake

SQL

Python

Airflow

DBT

Data Modeling

Data Governance

CI/CD

Git

AWS

Tools

Snowflake

DBT

Apache Airflow

Git

Looker/Power BI/Tableau

Job description

This is a remote position. Job Title Intermediate–Senior Data Engineer (Snowflake) Details Location: Remote (Candidates must be based in Canada) Job Type: Contract Experience Level: Intermediate to Senior Start Date: ASAP Initial Duration: 6 months with strong renewal possibility Rate: $75-80/hr

About the Role: We are seeking a highly skilled Data Engineer with strong hands‑on experience in Snowflake to join our growing data team. This role is ideal for a professional who not only thrives in data engineering but also brings some data architecture understanding to help shape scalable data solutions. You’ll work closely with data analysts, architects, and product teams to design and implement robust data pipelines, data models, and Snowflake‑based architectures. This is a remote position, but candidates must be located within Canada for data residency and compliance purposes.

Key Responsibilities:

• Design, develop, and maintain efficient and scalable ETL/ELT data pipelines on Snowflake
• Work with large volumes of structured and semi-structured data
• Design and implement data models and schemas in Snowflake to support reporting, analytics, and ML use cases
• Collaborate with data architects to align with long‑term data strategy and architecture standards
• Ensure data quality, governance, and security across all solutions
• Optimize Snowflake performance and cost through effective resource management
• Automate data pipeline deployment, testing, and monitoring
• Mentor junior team members and participate in code reviews

Requirements:

• 3–7 years of experience in Data Engineering
• Proven expertise in Snowflake: warehousing concepts, performance tuning, Snowpipe, Streams & Tasks
• Experience building data pipelines using tools like DBT, Apache Airflow, or equivalent
• Proficient in SQL and scripting languages (e.g., Python)
• Familiar with cloud platforms (AWS preferred)
• Basic to intermediate understanding of data architecture principles and best practices
• Experience with CI/CD pipelines and version control (e.g., Git)
• Strong understanding of data governance, security, and compliance standards
• Excellent communication and collaboration skills
• Must be legally authorized to work in Canada and reside within Canada

Nice to Have

• Snowflake certification (SnowPro Core or Advanced)
• Experience with real-time data processing (Kafka, Kinesis, etc.)
• Exposure to data visualization tools (e.g., Looker, Power BI, Tableau)
• Experience working in an Agile environment