We are seeking a Data Engineer to join our Data Platform team. In this role, you will be instrumental in building and enhancing data products that drive decision-making across the company. Your initial focus will be on data modeling and pipeline development, with opportunities to expand into more complex platform challenges. You will act as a key liaison between Analytics Engineering, Business Intelligence, and Platform & Data Engineering, contributing to dbt models, troubleshooting data pipelines, and ensuring the delivery of robust, scalable, and well-integrated data solutions.
Responsibilities:
- Design and build data products for analytics, reporting, and business operations.
- Maintain and improve data pipelines (dbt, Airflow) with a focus on quality, usability, and uptime.
- Investigate and resolve issues in data workflows.
- Collaborate with analysts, product managers, and engineers to understand requirements and deliver data solutions.
- Implement software engineering best practices: testing, CI/CD, observability, documentation.
- Participate in on-call rotation for platform reliability.
Requirements:
- 2–5+ years of experience in analytics engineering, BI, data analysis, or data engineering.
- Understanding of data modeling, SQL, and data quality principles.
- Exposure to Python and interest in developing technical skills.
- Experience with data tooling (e.g., dbt, Airflow, Snowflake/Redshift/BigQuery).
- Problem-solving skills and a proactive mindset.
- Ability to work in ambiguous situations.
Nice-to-haves:
- Interest in observability, testing frameworks, or data systems reliability.
- Exposure to cloud platforms (AWS, GCP) and tools like Terraform or Docker.
Benefits:
- Stock Options
- Fertility and family building benefits
- Paid time off
- Education budget
- Virtual and in-person events
- Wellbeing stipend
- Phone/internet stipend
- Office equipment stipend
How to Apply
Interested in this position? Please submit your resume and cover letter through the application portal.
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