Senior Data Engineer, Platform - Remote

Overview

Jobber is seeking a Senior Data Engineer to join the Data Platform team, focusing on building scalable data solutions and empowering internal teams with data-driven insights.

In Short

• Design, develop, and maintain batch and real-time data pipelines.
• Leverage Python, SQL, and AWS technologies for data operations.
• Collaborate with cross-functional teams to ensure data accessibility.
• Utilize tools like Airflow and dbt for ETL/ELT pipelines.
• Lead initiatives for new technologies and tooling for data stack.
• Own the integrity of data across the organization.
• Support teams in running data-driven experiments.
• Participate in design and code reviews.
• Mentor junior team members.
• Contribute to a culture of transparency and collaboration.

Requirements

• Proven leadership skills in team environments.
• Strong coding skills in Python and SQL.
• Experience building ETL pipelines with Airflow and dbt.
• Familiarity with AWS data infrastructure.
• Experience with large datasets using tools like Spark.
• Knowledge of CI/CD processes and data ingestion.
• Strong communication skills for collaboration with teams.
• Experience with Terraform for infrastructure management.
• Knowledge of NoSQL databases is a plus.
• Experience with Kafka for stream processing is a plus.

Benefits

• Comprehensive health benefits package.
• Retirement savings matching.
• Equity rewards.
• Career coaching and development opportunities.
• Flexible working arrangements (remote or hybrid).
• Support for health and wellness initiatives.
• Opportunities for mentorship and professional growth.
• Inclusive work environment that values diversity.
• Transparent compensation discussions.
• Impact on a growing industry with no dominant player.