United States onlyJoin our Data Engineering team! We're looking for a Data Engineer to join the engineering team at Modus.
Requirements
- 4-7+ years of experience as a Data Engineer or in a closely related role
- Strong programming skills in Python and solid experience with SQL
- Hands-on experience building ETL/ELT pipelines for large-scale data systems
- Experience supporting Machine Learning or AI workflows in production
- Familiarity with cloud data ecosystems (e.g., BigQuery, Snowflake, Redshift)
- Experience with workflow orchestration tools (Airflow, Dagster, Prefect)
- Solid understanding of data modeling, data quality, and performance optimization
- Bonus point for: Experience with feature stores (Feast, Tecton, or similar), Exposure to ML lifecycle tools (MLflow, Weights & Biases, experiment tracking), Knowledge of streaming platforms (Kafka, Pub/Sub, Kinesis), Experience with Docker and basic containerized deployments, Familiarity with MLOps concepts (model monitoring, drift, retraining pipelines), Experience in AI-native, SaaS, or data-intensive products
Benefits
- Remote work with flexible working hours
- Modus Global Office Program: for when you want to get out of your home, we offer on-demand access to private offices, meeting rooms, co-working spaces and business lounges in locations in over 120 countries.
- Employee Referral Program
- Client Referral Program
- Travel according to client or team needs
- The chance to work side-by-side with thought leaders in emerging tech
- Access to more than 12,000 courses with a licensed Coursera account
- Possibility to obtain paid certification/courses if they align with company goals and are relevant to the employee's role
