Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
About the role
- Data Engineer building Spark pipelines and analytics data models for Dropbox’s file collaboration platform. Supporting datamarts, KPIs, data quality, and production reliability.
Responsibilities
- Build and maintain Spark and SparkSQL jobs that populate company data models
- Own well-scoped pipelines end to end, from requirements through deployment, monitoring, and iteration
- Contribute to data quality frameworks, testing, and data lineage instrumentation
- Partner with data scientists, analysts, product managers, and engineers to turn data needs into durable models
- Extend datamarts and data models supporting recurring reporting and analysis across products
- Improve the reliability and cost efficiency of existing pipelines, dashboards, and frameworks
- Participate in a business-hours on-call rotation and help improve runbooks and alerting
- Build and operate pipelines and data models supporting Dropbox product and business analytics
Requirements
- 2+ years of development experience in Spark, Python, Java, C++, or Scala
- 2+ years of SQL experience, including query performance tuning
- 2+ years of experience with schema design and dimensional data modeling
- Experience building and maintaining production data pipelines that others depend on
- Working exposure to a cloud data lake or lakehouse platform; Databricks preferred
- Clear written and verbal communication with non-engineering partners, and a track record of asking for help and feedback early
- BS in Computer Science or a related technical field involving coding, or equivalent technical experience
- Participation in a business-hours on-call rotation as part of employment
- Preferred: 4+ years of SQL experience; medallion architectures and incremental data modeling; Airflow or similar orchestration framework; Monte Carlo or similar data quality monitoring tools; streaming architectures including Kafka, Kinesis, or Structured Streaming
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Engineer supporting the Government of Alberta’s Data Management Platform. Building, monitoring, and modernizing Talend integrations, ETL/ELT pipelines, APIs, and data services.
Data Engineer building cloud data pipelines, models, and analytics infrastructure for Boeing’s aviation programs. Supporting machine learning applications and data governance from Richmond/Vancouver.
Data Engineer building cloud - based data pipelines and analytics infrastructure for Boeing’s aviation programs. Supporting machine learning, data governance, and high - performance systems from Richmond/Vancouver.
Data Engineer building trusted data pipelines for Crux’s clean - energy capital platform. Automating surveys, reporting datasets, and research queries for Market Intelligence.
ETL Data Engineer designing Informatica ETL pipelines and Hadoop workflows. Supporting SQL - driven reconciliation, data quality, BI reporting, and analytics solutions.
Senior engineer scaling petabyte - scale PostgreSQL infrastructure for TRM Labs’ AI - powered crime - fighting intelligence platforms. Automating database operations, optimizing performance, and managing CDC pipelines remotely.
Staff Software Engineer owning ingestion and integration architecture for Northbeam’s marketing intelligence platform. Setting data - processing standards across ad, commerce, and real - time event systems.
Data systems engineer building Python pipelines and APIs for Northbeam’s marketing intelligence platform. Improving integrations, transformations, monitoring, and real - time data flows.
Data Engineer designing scalable data pipelines and cloud solutions. Delivering analytics and business intelligence consulting projects for Electric Mind clients.