Data Analytics Engineer

Join our Data Analytics team as a Data Analytics Engineer where you will design, build, and maintain scalable data infrastructure and analytics solutions. You will work with cutting-edge technologies to transform raw data into actionable insights that drive business decisions for our global clients.

Key Responsibilities

• Design and implement scalable data pipelines and ETL processes
• Build and maintain data warehouses and data lakes
• Develop analytics dashboards and visualization tools
• Collaborate with data scientists to operationalize ML models
• Optimize query performance and data processing efficiency
• Implement data quality monitoring and validation frameworks
• Document data architecture and maintain technical specifications
• Work with stakeholders to understand data requirements
• Ensure data security and compliance with regulations
• Mentor junior team members and contribute to best practices

• Bachelor's or Master's degree in Computer Science, Data Science, or related field
• 4+ years of experience in data engineering or analytics
• Strong proficiency in SQL and Python
• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery)
• Experience with ETL tools (Airflow, dbt, Spark)
• Familiarity with BI tools (Tableau, Power BI, Looker)
• Understanding of data modeling and database design
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities

Competitive salary with equity options

Remote-first culture

Comprehensive health benefits

Learning and development budget

Conference attendance sponsorship

Flexible PTO policy

Home office stipend