Cloud Data Engineer responsible for modern Data & AI solutions on Microsoft Azure. Collaborating with clients and teams to develop production - ready data platforms and support analytics.
About the role
- Senior Data Engineer building and scaling data platforms for analytics and business intelligence. Join our mission to close the justice gap using technology and AI.
Responsibilities
- Build and scale the data platform that powers analytics, experimentation, and business intelligence across the organization
- Design and maintain robust, well-documented ELT/ETL pipelines and reusable data models
- Partner cross-functionally with Product, Engineering, Operations, and Analytics teams to translate business needs into scalable data solutions
- Own the design and implementation of data pipelines supporting product instrumentation, reporting, and experimentation
- Establish and maintain high standards for data quality, reliability, governance, and observability
- Contribute to a strong data engineering culture through mentorship and best practices
- Build and maintain scalable data pipelines and infrastructure using tools such as dbt, Airflow or Dagster, and BigQuery, Snowflake, or similar technologies
- Ensure reliability, documentation, and performance at scale
- Improve data reliability by implementing testing, monitoring, and observability best practices to reduce human error and ensure trust in data outputs
- Support business intelligence and experimentation efforts by building data models and enabling reporting and dashboarding solutions using tools such as Looker, Tableau, or Metabase
- Mentor engineers and analysts on data modeling standards, tooling, and engineering best practices while helping shape a strong, collaborative data culture
Requirements
- 4+ years of experience as a Data Engineer or Software Engineer, ideally in product-focused, high-growth environments
- Strong proficiency in Python for data wrangling, orchestration logic, and navigating application codebases
- Strong proficiency in SQL and experience using transformation tools such as dbt to build reusable data models
- Experience designing dimensional models and defining clear, trusted business metrics
- Experience building scalable, reliable data pipelines in modern cloud environments
- Familiarity with data warehouse technologies such as BigQuery or Snowflake and orchestration tools such as Airflow or Dagster
- Experience enabling reporting and visualization solutions using dashboarding tools (e.g., Looker, Tableau, Metabase)
- Strong communication and collaboration skills when working with cross-functional stakeholders
- High attention to detail, structured thinking, and a bias toward action in fast-paced environments
- Leadership potential with interest in mentoring others and shaping data engineering best practices
Benefits
- Choice of medical, dental, and vision insurance plans for you and your family
- Additional insurance coverage options for life, accident, or critical illness
- Flexible paid time off, sick leave, short-term and long-term disability
- 10 US observed holidays, and Canadian statutory holidays by province
- A home office stipend
- 401(k) for US-based employees and RRSP for Canada-based employees
- Paid parental leave
- A local in-person meet-up program
- Hubs in San Francisco and Toronto
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 at Solana Foundation collaborating with blockchain engineers on data indexing and pipeline creation. Ensuring efficient data processing and metrics formulation for decentralized applications.
Senior Engineer on Data Platform team designing and building systems for data flow at Movable Ink. Collaborating with engineering, analytics, and infrastructure teams to power data ingestion and processing.
Senior Data Engineer responsible for designing and maintaining event streaming pipelines at Movable Ink. Working with modern technologies to enhance data availability and reliability.
Senior Data Engineer architecting and owning Snowflake layer for Knak’s Data Infrastructure and AI enablement. Collaborating across departments to ensure data accessibility and governance standards.
Data Engineer designing and implementing cloud - native data ecosystem for sports analytics. Building scalable infrastructure to transform raw data into valuable consent assets.
Data Engineer owning infrastructure that turns raw events from mobile users into trustworthy data. Building scalable data architecture and collaborating with cross - functional teams for data management.
LP
Senior DataOps / Cloud Data Engineer
LinkedIn Recruiter Post
Senior DataOps / Cloud Data Engineer contract in Toronto, ON. Requires Python, SQL, PySpark, Databricks, AWS Glue, Lambda, Step Functions, S3, Informatica IDMC, ADF, and ETL/Data Engineering.
Data Architect engaging with companies on transformational data programs to enhance AI and data capabilities. Leading architectural frameworks and mentoring data teams against industry best practices.
ML Data Engineer responsible for designing and developing AI platforms at Newfold Digital. Collaborating across teams to integrate and optimize data sources for AI - driven applications.