Senior Data Engineer – Databricks & Cloud Data Platforms

Medium; Toronto (KS); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

100% coverage for health, dental, and vision insurance

Continuous learning opportunities

Flexible work arrangements

Job summary

A data solutions company is seeking a skilled Data Engineer to design and optimize big data solutions using Databricks. The ideal candidate will have strong expertise in Apache Spark, SQL, and Python, with experience in cloud platforms. Responsibilities include creating ETL workflows and collaborating with teams for data-driven insights. The position offers a hybrid work model with comprehensive benefits and continuous learning opportunities.

Qualifications

• 5+ years of hands-on experience with Databricks and Apache Spark.
• Proficient in SQL, Python, or Scala for data processing.
• Experience with cloud platforms for data engineering.

Responsibilities

• Design and optimize big data pipelines in Databricks.
• Develop scalable ETL workflows for large datasets.
• Collaborate with teams to enable AI/ML workflows.

Skills

Apache Spark

SQL

Python

Data Governance

ETL workflows

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Databricks

AWS

Azure

GCP

CI/CD tools

Job description

A data solutions company is seeking a skilled Data Engineer to design and optimize big data solutions using Databricks. The ideal candidate will have strong expertise in Apache Spark, SQL, and Python, with experience in cloud platforms. Responsibilities include creating ETL workflows and collaborating with teams for data-driven insights. The position offers a hybrid work model with comprehensive benefits and continuous learning opportunities.