Remote Senior Data Engineer

Summary

Join us as a Senior Data Engineer at Jobber, where you'll lead the development and evolution of our Data Integration Platform, empowering teams with scalable data pipelines and driving business growth through actionable insights.

Requirements

• Building Scalable Data Platform Solutions
• Proficiency in designing, developing, and maintaining efficient batch and real-time data pipelines within a cloud infrastructure (preferably AWS)
• Strong skills in SQL, stream processing, Containerization (ECS orchestration) and AWS Lambda to create reliable and scalable data solutions
• Expertise in developing scripts, serverless applications, and automated workflows to ensure data integrity and accessibility
• Data Engineering and Infrastructure
• Deep understanding of data warehousing principles, including dimensional modeling and star schemas
• Experience with CI/CD practices and optimizing data flow within high-volume, scalable infrastructures
• Communication and Collaboration
• Ability to explain complex data concepts to both technical and non-technical stakeholders
• Skill in working cross-functionally with teams to meet data needs and contribute to data-driven decision-making

Responsibilities

• Empower the Team
• Develop tools, frameworks, and workflows that reduce manual processes, enhance data accessibility, and enable data-driven decision-making
• Build robust alerting and monitoring systems to maintain data quality and reliability
• Collaborate across functions to support experiments and analyses that drive impactful business decisions
• Day-to-day experience working closely with software engineering teams, fostering a collaborative environment for data-driven development
• Accelerate Business Growth
• Work closely with data analysts, data scientists, and product teams to facilitate the extraction of actionable insights
• Use tools like Airflow and dbt to streamline ETL/ELT workflows, ensuring seamless data flow and integration
• Strategize, Plan, & Innovate
• Lead initiatives to research and propose emerging technologies, strengthening our data stack with a focus on performance, scalability, and maintainability
• Participate in design and code reviews, actively contributing to knowledge sharing and mentoring within the team
• Ensure Data Integrity
• Take ownership of data quality, establishing best practices to maintain high trust in data across the organization

Preferred Qualifications

• Experience with Data Catalog tools, AWS S3 & Glue, Apache Iceberg, and FiveTran
• Familiarity with Kafka for real-time stream processing and message queuing
• Hands-on experience with NoSQL databases and working knowledge of RESTful and GraphQL APIs for seamless data integrations

Benefits

• A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, retirement savings plan matching, and stock options
• A dedicated Talent Development function, including Development Coaches, to help build the career you want and hit the goals you set, while ensuring you’re reaching your fullest potential
• Support for all your breaks: from vacation to rest and recharge, your birthday off to celebrate, health days to support your physical and mental health, and parental leave top-ups to support your growing family