Data Engineer

Job Title: Data Engineer

Locations : New York City United States (USA) / Seattle United States (USA) / Santa Monica United States (USA) / San Francisco United States (USA)

Duration: Full Time

Experience: 12+ years

Skills – SQL, Snowflake, RDBMS, Spark, Python, Databricks, and Airflow

Job Summary

• Contribute to the design and growth of our Data Products and Data Warehouses around Acquisition marketing spend and Acquisition campaign Performance data.

• Develop and optimize performant database, data model, integration and ETL in RDBMS and Big Data environments

• Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions

• Help define technical requirements and implementation details for the underlying data warehouse and data marts

• Help integrate and maintain campaign marketing data coming from marketing vendor platforms via an integration tool.

• Maintain detailed documentation of your work and changes to support data quality and data governance

• Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers

• Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

Basic Qualifications

• Over 9- 12 years of experience in Data Engineering, with a strong foundation in designing and implementing scalable data solutions.

• Proficient in data modeling, architecture, and building robust ETL pipelines to support analytical and operational use cases.

• Hands-on expertise with SQL, Snowflake, RDBMS, Spark, Python, Databricks, and Airflow for data processing and orchestration.

• Experienced in AWS services including S3 and supporting reporting and downstream data workflows.

• Familiarity with Marketing Intelligence tools like Datorama/Improvado/FiveTran for integrating, harmonizing, and visualizing marketing data across platforms.

• Experience with Scrum and Agile methodologies

• Bachelor’s or master’s degree in computer science, Information Systems or related field