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Data Engineer

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Modus Create

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IT - Software Development

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Job Description:

We're looking for a Data Engineer to join the engineering team at Modus. Want to help our clients build awesome solutions to accomplish their goals and vision? Are you interested in working from home with some of the best talents on the planet? Then keep reading.

Job Responsibility:

  • Working on a high-traffic, consumer product with real-world scale and impact
  • Shaping mobile experiences that users rely on daily
  • Collaborating closely with product and design to craft polished user journeys
  • Raising the bar for mobile engineering standards and practices
  • Exploring modern mobile tooling and continuously improving how apps are built and delivered
  • Giving back: Be an active participant through opportunities such as blog posts, open source contributions, and event speaking
  • Travel & connections: Meet fantastic people during our remote meet-ups
  • Teaching and learning: Work in active teams on internal and external projects, staying up-to-date with the latest technologies
  • Being a self starter: Autonomy and proactivity are the key to succeed at Modus
  • Client interaction: Represent Modus and our values while connecting directly with our clients, some of the world’s biggest brands

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
  • Overlap: Eastern Timezone (US)
  • Close collaboration with engineers, product managers, and designers in a cross-functional setup
  • Active participation in technical discussions, code reviews, and architectural decisions
  • Comfortable working in a distributed team with regular communication and alignment
  • Reliable high-speed internet and the ability to work effectively in a remote-first environment

Nice to have:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
February 17, 2026

Work Type:
Remote work
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