Data Engineer
1 week ago
Job Description
The Personal Development School is an e-learning platform in the emotional wellness space. It teaches courses on personal growth, mental health, and well-being with a focus on relationships and attachment theory. We seek a skilled Data Engineer with Data Analytics and development expertise to enhance our data infrastructure and analytics capabilities, driving growth and informed decision-making.
Role Overview
We are seeking an experienced Data Engineer who excels at building scalable data pipelines, creating robust data models, and enabling data-driven insights across the organization. While this role collaborates with multiple departments, it focuses particularly on building infrastructure to understand user engagement, retention, and other key product metrics. This role is ideal for someone with strong technical expertise in data engineering and analytics and a passion for turning raw data into actionable insights.
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines to ingest and process large volumes of data.
- Build and optimize data models and warehouses to serve as the Source of Truth for analytics.
- Collaborate with marketing and product teams to deliver actionable insights to improve key metrics (CAC, LTV, engagement, and retention).
- Implement and manage data governance frameworks, ensuring data quality and integrity.
- Develop automated dashboards and reports using tools like Tableau, Looker Studio, or Power BI.
- Solve complex data challenges by identifying business objectives with stakeholders, evaluating existing systems, and addressing limitations through innovative solutions and collaboration.
- Optimize existing data architectures for performance and scalability.
Qualifications
- 6+ years of experience in data engineering and analytics roles.
- Proficiency in SQL, Python, and big data tools.
- Hands-on experience with ETL tools and workflows (e.g., Airflow, DBT, Stitch).
- Expertise in data warehousing concepts and platforms such as BigQuery, Snowflake, or Redshift.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker Studio).
- Familiarity with cloud platforms like GCP, AWS, or Azure.
- Strong problem-solving and analytical skills, with a focus on building reliable and scalable systems.
- Knowledge of marketing analytics tools (e.g., Google Analytics, Mixpanel) is a plus.
- Understanding of coding standards, version control (Git), and testing frameworks.
Key Competencies
- Strategic thinker with the ability to adapt in a fast-paced environment.
- Detail-oriented and results-driven with a strong focus on execution.
- Excellent communication skills to collaborate with cross-functional teams.
- Ability to manage multiple projects independently while meeting deadlines.
Benefits
- Performance-based bonuses.
- Flexible working hours with fully remote work.
- Professional development opportunities, including access to personal development courses.
- Collaborative and supportive team environment.
- Health Insurance
Salary: $70000 to $75000
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