Data Engineer

Summary

Join Known, a modern marketing company, as a Data Engineer to build and maintain robust ETL pipelines, data warehousing solutions, and marketing performance reporting systems. You will work closely with data scientists, product managers, and software engineers. This role ensures a reliable, scalable, and efficient data infrastructure for data-driven decision-making. Responsibilities include developing and maintaining data pipelines for marketing platforms, implementing data validation and quality checks, supporting automated reporting, deploying pipelines across environments, and ensuring data warehouse scalability and performance. The ideal candidate has 2-5 years of experience in data engineering and proficiency in Python, SQL, and related technologies. Known offers a variety of benefits, including unlimited paid time off, 401k matching, annual bonuses, and a generous medical plan.

Requirements

• 2-5 years of experience in data engineering or related roles
• Highly proficient with Python, SqlAlchemy, Alembic, Pytest
• Experience with SQL and relational databases such as Postgres
• Experience with database design and optimization
• Experience integrating with marketing APIs (Google Analytics, Facebook Marketing API, Salesforce, HubSpot, etc.)
• Experience with deploying data pipelines in Python
• Experience with Git, GitHub, or other version control tools

Responsibilities

• Work closely with data scientists, product managers, and software engineers to build and maintain data pipelines for popular marketing platforms (Google Ads, Facebook Ads, etc) using Python and Argo Workflows
• Implement data validation, quality checks, and monitoring systems to ensure data accuracy and reliability while optimizing performance and troubleshooting issues
• Support automated reporting solutions using Python
• Deploy these pipelines across multiple environments with Docker, Helm, Terraform, and Kubernetes
• Ensure data warehouse scalability, performance optimization, and cost efficiency
• Integrate new data pipelines on a management UI, ensuring it effectively supports setup and maintenance tasks

Preferred Qualifications

• Experience with containerized architecture (Docker, Kubernetes, Argo Workflows)
• Experience with DevOps practices and CI/CD (GitHub Actions)
• Experience with data warehouses (Snowflake)
• Experience with cloud infrastructure (AWS)
• Experience with data visualization tools (Marketing Cloud Intelligence)
• Knowledge of customer data platforms (CDPs) and marketing automation tools is preferred

Benefits

• Unlimited paid time off
• 401k with company matching and no vesting period
• Annual bonuses
• Generous medical plan
• Paid parental leave