Principal Data Engineer, Analytics

Key Skills

AirByte, Amazon RedShift, Apache Airflow, Apache Hadoop, Apache Kafka, Cryptominer, Data Biuld Tool - dbt, Data Engineering, Data Modeling, Effective communication skills, ETL/ELT technologies, Fivetran, Kubernetes-K8s, Looker, Marketing analytics, Microsoft-Excel, Online Advertising technologies, Product Analytics, Python Programming, Snowflake, SPARK Programming, SQL, Stitch, Tableau

Job Description

We are looking for a Principal Data Engineer to provide hands-on experience in building the company’s modern data stack. The team lead will work closely with business functions, Technology, Analytics as well as Data Scientist teams to understand data requirements and provide data solutions. The ideal candidate will be experienced in transforming data infrastructure and architecture for a data-driven company and be passionate about growing a function through the start-up phase into a mature organization.

Responsibilities:

• Design, develop and maintain scalable, tested, documented data pipelines, data models, and workflows in AWS environments
• Design, develop, and maintain warehouses and reporting systems to solve business operations, users and product problems
• Work closely with product and marketing and leadership to create, test and maintain data models
• Assist in the implementation of a modern data stack and platform from the ground up
• Collaborate cross functionally to ensure business and analytics data requirements are supported with robust, scalable, and adaptable data solutions
• Ensure the best data management and governance practices in data quality, documentation, security, and privacy
• Build, develop, and manage a high-performing data engineering team through direct coaching and mentorship
• Provide data and analytics support across the company
• Additional duties as assigned

Qualifications:

• Data driven mindset with a degree in Computer Science, Analytics, Engineering, or an equivalent technical field
• 6+ years of hands-on experience in data engineering including data modeling, ETL/ELT, data warehouse/lake management, and data platform development for analytics and data science on top of AWS
• Strong experience in AWS data and analytics-related tools such as AWS Glue, AWS Redshift, AWS Lake Formation, and AWS Athena
• Experience with building modern cloud-based data stack and platform with the following technologies: Fivetran/Stitch, Dbt, Snowflake/Redshift, Looker/Tableau, Airflow/Airbyte, Kafka, Kubernetes
• Experience with building data pipelines using Python and SQL
• A proven track record of data engineering leadership through critical thinking, thought leadership, technical skills, and relentless drive for data stack development
• Exceptional ability to communicate complex ideas effectively, both verbal and written, to influence cross-functional stakeholders
• Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

The Nice To Have's:

• While not a hard requirement, experience with crypto based products and services or Ethereum and the crypto markets is a plus
• Experience working for a rapidly growing startup, and managing change
• Experience with Google Ads/B2C businesses

Working at CoinFlip means collaborating with experienced and innovative leaders who share a clear vision and a track record of success. We offer a collaborative and positive working environment where we encourage employees to balance productivity with time to recharge. Compensation is above and beyond a typical “startup” — we offer competitive salaries, performance-based incentives, and competitive benefits for full-time employees.