Data Engineer
Location
United States + 180 moreAll locations: United States, Canada, Brazil, Colombia, Argentina, Chile, Venezuela, Bolivarian Republic Of, Bolivia, Plurinational State Of, Ecuador, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay, Mexico, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama, Dominican Republic, Puerto Rico, Bahamas, Guadeloupe, Haiti, Jamaica, Martinique, Montserrat, United Kingdom, Germany, France, Estonia, Portugal, Hungary, Poland, Ukraine, Romania, Bulgaria, Czech Republic, Slovakia, Belarus, Moldova, Republic Of, Sweden, Greece, Belgium, Italy, Ireland, Switzerland, Netherlands, Finland, Malta, Denmark, Lithuania, Croatia, Spain, Austria, Bosnia And Herzegovina, Iceland, Luxembourg, Macedonia, The Former Yugoslav Republic Of, Montenegro, Norway, Serbia, Slovenia, Albania, Cyprus, Latvia, Monaco, South Africa, Egypt, Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Congo, Côte D'ivoire, Congo, The Democratic Republic Of The, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-bissau, Kenya, Lesotho, Liberia, Libyan Arab Jamahiriya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Senegal, Seychelles, Sierra Leone, Somalia, Sudan, Swaziland, Tanzania, United Republic Of, Togo, Tunisia, Uganda, Zambia, Zimbabwe, Georgia, Turkey, Israel, United Arab Emirates, Armenia, Azerbaijan, Bahrain, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Palestinian Territory, Occupied, Yemen, India, Japan, Philippines, Pakistan, Thailand, Singapore, Viet Nam, Taiwan, Province Of China, Indonesia, Cambodia, Lao People's Democratic Republic, Malaysia, Myanmar, Korea, Republic Of, China, Afghanistan, Bangladesh, Bhutan, Kazakhstan, Kyrgyzstan, Maldives, Mongolia, Nepal, Sri Lanka, Tajikistan, Turkmenistan, Uzbekistan, Australia, Papua New Guinea, Kiribati, Palau, French Polynesia, Tuvalu, New Zealand
Posted
1 day ago
Salary
Not specified
Seniority
Mid Level
Job Description
Role Description
We are looking for a strong Analytics Engineer to take charge of data transformation and build a reliable foundation for our marketing analytics. You will work at the intersection of Data Engineering and Data Analytics, turning the "chaos" of API exports into structured data marts.
What You Will Do
- Design and Development: Build and maintain scalable data models in Snowflake and BigQuery using dbt.
- Data Modeling: Translate marketing business logic (LTV, CAC, attribution, cohort analysis) into clean, optimized SQL code.
- Pipeline Optimization: Ensure Data Quality and freshness; set up tests and documentation within dbt.
- Tech Stack: Work with a modern Modern Data Stack. We use the best tools available for transformation and storage.
- Collaboration: Work closely with Growth Hackers and Marketers to understand their data needs.
Qualifications
- SQL Mastery: You write complex, readable, and efficient queries. You know your window functions and understand the specific dialects of Snowflake/BigQuery.
- dbt (Data Build Tool): Experience with dbt (Core or Cloud) is mandatory. You know what ref, macro, and incremental models are and why tests are necessary.
- Cloud Data Warehousing: Deep understanding of Snowflake or Google BigQuery architecture.
- Marketing Domain: Understanding metrics (ROAS, ROMI, Retention) and how ad platforms (FB, Google Ads) operate is a massive plus.
- Engineering Mindset: Proficiency with Git, an understanding of CI/CD, and adherence to DRY (Don't Repeat Yourself) principles.
Benefits
- Reshape marketing with us. Let’s work!
By submitting your application, you agree to our Privacy Policy.
Job Requirements
- SQL Mastery: You write complex, readable, and efficient queries. You know your window functions and understand the specific dialects of Snowflake/BigQuery.
- dbt (Data Build Tool): Experience with dbt (Core or Cloud) is mandatory. You know what ref, macro, and incremental models are and why tests are necessary.
- Cloud Data Warehousing: Deep understanding of Snowflake or Google BigQuery architecture.
- Marketing Domain: Understanding metrics (ROAS, ROMI, Retention) and how ad platforms (FB, Google Ads) operate is a massive plus.
- Engineering Mindset: Proficiency with Git, an understanding of CI/CD, and adherence to DRY (Don't Repeat Yourself) principles.
Benefits
- Reshape marketing with us. Let’s work!
- By submitting your application, you agree to our Privacy Policy.
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