Senior Data Engineer

8am

26d • $150,000 - $175,000

About The Position

8am is looking for a Senior Data Engineer to help design and scale the data platform that power analytics, product insights, and machine learning across the company. In this role, you will own key parts of our data architecture, build reliable data pipelines, and partner closely with product, engineering, and analytics teams to turn raw data into decision-driving insights. You’ll also help set engineering standards, mentor teammates, and drive momentum across the team by improving the way we build, review, and operate data systems.

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)

Nice To Haves

• 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

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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level