Senior Data Engineer – Python, Snowflake
CompassX Group
AirflowAmazon RedshiftBigQueryCloudDockerETLLinuxPandasPySparkPythonSQL
Data Engineer II, Python, SQL, Airflow
Fanatics
full-time
Posted on:
Location Type: Remote
Location: Remote • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $127,000 - $195,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowApacheAWSETLMongoDBPostgresPythonSQLTableau
About the role
- Design and implement, test, and maintain data pipelines, databases, and warehouses
- Build strong relationships with internal stakeholders (BI analysts, other data engineers and data scientists)
- Collaborate with leaders to define requirements and deliver quality data solutions
- Develop a deep understanding of Fanatics Betting and Gaming data
- Conduct and participate in code and system inspections
- Help the development team define and adhere to the principles, guidelines, and best practices of Data Engineering
- Mentor junior data engineers
Requirements
- A self-learner with a strong ability to gather, evaluate, and analyze requirements
- Improves processes and champions best practices to avoid technical debt
- Deep understanding of SQL and ETL/ELT for complex data transformations
- Experience writing Python
- Knowledge of several of the following technologies: Snowflake, AWS Managed Workflows for Apache Airflow, dbt, Tableau, MongoDB, Postgres SQL
Benefits
- Medical
- Dental
- Vision
- 401K
- Paid time off
- GymPass
- Pet Insurance
- Family Care Benefits
- Home office setup allowance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLETLELTPythondata pipelinesdata warehousesdata transformationdata engineering best practicescode inspectionssystem inspections
Soft skills
self-learnerrelationship buildingcollaborationrequirement gatheringprocess improvementmentoringanalytical skillschampioning best practicescommunicationstakeholder engagement
