Data Engineering Analyst at Inmetrics developing and optimizing data pipelines, ensuring data quality. Collaboration with business teams aligning data solutions with business objectives.
About the role
- Data Engineer at Homebase revolutionizing data pipelines for small businesses. Develop and maintain AI-driven insights and support data architecture transformation with a proactive approach.
Responsibilities
- Design, develop, and optimize data pipelines to process structured & unstructured data at scale
- Build and maintain data models (fact, dim, SCD2, medallion/layered, marts)
- Create reports and dashboards to support business performance analysis
- Partner with product, data science, and analytics teams to enable AI-powered features
- Support data architecture transformation & migration on Databricks
- Troubleshoot and resolve data quality/performance issues quickly
- Optimize queries and enforce best practices for reliability and velocity
- Drive continuous improvement of workflows through automation and experimentation
- Own projects end-to-end: planning → execution → delivery
Requirements
- 5+ years of software/data engineering experience
- Expertise in SQL (window functions, CTEs, complex joins)
- Intermediate–advanced Python (OOP, testing, package mgmt)
- Experience with Databricks (streaming, Unity Catalog, resource mgmt)
- Experience with Spark (partitioning, skew handling, delta ops, Spark UI)
- Strong knowledge of data modeling & architecture
- Experience with DBT, Airflow, Kafka, API/S3 ingestion
- Comfort with deploying/monitoring ML models in production (batch, streaming, real-time inference)
- Ability to explain technical concepts clearly to non-technical teammates
- Ownership mindset: self-driven, proactive, accountable
Benefits
- Stock options + TFSA/RRSP with 4% company match
- Comprehensive medical, dental, and vision for you and your dependents
- Flex time off + company holidays + designated focus periods
- Maternity/Parental Leave EI top-up support offered (after 6 months of service)
- Work From Anywhere Month + meeting-free weeks yearly
- Life insurance + short/long-term disability coverage
- Meals provided, team offsites, and Customer Days
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Engineer working on open - source Data Lakehouse and data pipeline development. Involves data integration and ensuring data quality in a hybrid work environment.
Data Engineer creating data pipelines in Databricks for a fast - growing digital banking platform. Responsible for ensuring data quality and optimising processes to support decision - making.
Data Engineer building scalable data pipelines and collaborating with teams at Ekimetrics. Involved in data quality, governance, and maintaining data integrity.
Senior Data Engineer developing data solutions and scalable systems at SimplePractice. Collaborating with teams to enhance analytics and decision - making for health and wellness clinicians.
Data Engineer II managing the data ingestion efforts at SimplePractice, supporting the data - driven journey and analytics across the enterprise.
Senior Data Engineer responsible for designing and implementing cloud - native data platforms for LPL Financial. Collaborating with stakeholders to enhance party reference data services and solutions.
Data Engineer in charge of designing and building data integration pipelines with Informatica and AWS technologies. Work collaboratively to deliver high - quality solutions in an agile environment.
Senior Software Engineer specializing in data engineering and infrastructure for cloud - native solutions at Cloudera. Leading technical direction and mentoring engineers in a high - impact role.
Senior Data Engineer at Sonatype responsible for building data pipelines and BI solutions. Collaborating with teams to design infrastructures empowering analytics and decision - making.