Data Engineer
Purpose Brands, the parent company of several fitness brands, is seeking a Data Engineer to join its team. The role involves implementing and maintaining data ingestion pipelines, transforming raw data into usable datasets, and collaborating with analysts and data scientists to ensure data availability for analysis and reporting.
Responsibilities
- Implement and maintain highly available and stable data ingestion pipelines using industry standard ETL best practices
- Responsible for transforming and optimizing raw data sets into modeled datasets tailored to business needs
- Collaborate with BI Analysts and Data Scientists to ensure that data is available for analysis and reporting
- Adhere to Data Engineering best practices, including data security and privacy protocols
- Monitor and troubleshoot data pipelines
- Participate in code reviews and testing to ensure that output of the team is accurate, scalable and maintainable
- Quickly identify weakness, data integrity lapses and bugs in our data ingestion pipelines and remedy them
Skills
- Bachelor's degree in Computer Science, Computer Engineering, Statistics, Information Technology, or a related field of study
- One (1) year of experience in the job offered or any related occupation in which the required experience was gained
- Working with a cloud-based data engineering tool stack, such as those offered by AWS, Azure, or Google Cloud
- Writing highly optimized and efficient SQL
- Working in a cloud-based data warehouse
- Building data models for analytical use cases
- Working in big data environments and processing large volumes of data
- Working with DAG orchestration tools such as Airflow, Astronomer or Dagster
- Implementing DBT procedures
- Using a high-level programming language (Python or Java)
Benefits
- Medical, Dental and Vision Coverage
- Hybrid Work Environment
- Life and Disability Insurance
- Unlimited Time off + Paid Holidays
- Fridays off between Memorial Day and Labor Day
- 401(K) Savings Plan Matching at 4%
- 10 Coaching and Therapy sessions
- Mental Health Benefits
- Brand Discounts & Reimbursements
- In-house workout facilities
- Professional Development Opportunities
- Team Building, Employee Engagement Activities & so much more
Company Overview