Senior Data Engineer
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Job Description
Senior Data Engineer designing and scaling data platform for analytics at 8am. Collaborating with cross-functional teams to optimize data systems and mentor engineers.
Responsibilities:
- Lead design discussions around data architecture, modeling strategy, and platform evolution
- Identify opportunities to simplify and scale the data platform
- Drive improvements to data reliability, observability, and data quality
- Establish and promote best practices for data modeling, testing, and code review
- Help the team prioritize work and balance speed with technical quality
- Develop and optimize ETL processes
- Integrate data sources across a broad product portfolio to provide stakeholders access to key information they need to excel at their job
- Mentor other data engineers
- Challenge how business use cases fit together and fit into our product
- Determine and proactively communicate future impacts of proposed or ongoing work
- Help the team mitigate any issues that arise in their product and its ecosystem
- Model data and metadata to support ad-hoc and pre-built reporting facilitating data access for our BI tools and analytical reporting
- Provide technical guidance to help Data Engineering evolve access to data platform
- Work with engineering to integrate tracking of new functionality into the data ecosystem
- Optimize the performance of business-critical queries
- Explain why the projects their team is working on have been prioritized over other projects
Requirements:
- 7+ years of data engineering experience
- Experience with data warehouses and large-scale analytics systems (Redshift, Snowflake, BigQuery, etc.)
- Strong experience designing and building data pipelines and data platforms
- Cloud infrastructure experience (AWS preferred)
- Experience building and maintaining relational as well as document, key-value, and other noSQL databases
- Advanced Python & SQL skills
- Experience working with third-party APIs for data integration
- Experience with business process automation
- Bachelor's degree or higher in a technical field (or similar combination of education and experience)
- Spark and Redshift experience (PySpark preferred)
- Experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.)
- Experience with Infrastructure as Code (Terraform / CloudFormation)
- Experience with event or streaming systems (Kafka or similar)
- CI/CD experience
Benefits:
- Health Insurance Coverage: We offer our 8Team a variety of medical, dental, and vision plans, designed to fit your needs, including a 100% company-paid HDHP plan for employees.
- Financial perks: We offer a competitive compensation and benefits package including annual bonuses, equity options and 401(k) or RRSP if in Canada, with a company match for all team members.
- Time for what matters: Flexible Time Off, paid holidays, and a parental leave program for our new parents.
- Wellness: Wellness stipends, mental health support, and one-on-one nutrition coaching.
- Learning and Development: Continuous learning through 8am.edu, leadership programs, professional development funds, and individually focused talent development.
- Giving back to the communities around us: Participate in our charitable matching gift program, paid time off for volunteer service, and company-sponsored volunteer events (both local and virtually).
- Engagement: Virtual and in-person team-building events, quarterly award recognition through our Rise & Shine Award of Excellence Program, and our peer-to-peer appreciation platform.
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