Data Engineer (AI, Machine Learning)

Join our Data Engineering team!

About us:

Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We’re a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian.

We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world’s largest brands deliver powerful digital experiences.

As an award-winning Atlassian partner with a world-class team, we help organizations innovate and solve complex challenges for Fortune 500 companies and beyond, we want to hear from you.

Opportunity!

We are looking for a Mid/Senior Data Engineer to join our engineering team and help clients design, build, and scale modern data platforms.

You will work closely with cross-functional teams to develop robust data pipelines, support AI and Machine Learning workflows in production, and ensure data systems are scalable, reliable, and optimized for performance.

This is a fully remote role with collaboration across distributed teams and daily overlap with the US Eastern Time Zone.

Requirements:

• 4–7+ years of experience as a Data Engineer or in a closely related role
• Strong programming skills in Python
• 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 such as BigQuery, Snowflake, or Redshift
• Experience with workflow orchestration tools (Airflow, Dagster, Prefect)
• Strong understanding of data modeling, data quality, and performance optimization
• Experience collaborating in cross-functional environments with engineers, product managers, and designers
• Comfortable participating in technical discussions, code reviews, and architectural decisions
• Reliable high-speed internet and ability to work effectively in a remote-first environment
• Daily overlap with US Eastern Time Zone

Bonus points:

• 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 containerized deployments
• Familiarity with MLOps concepts such as model monitoring, drift detection, and retraining pipelines
• Experience working on AI-native, SaaS, or data-intensive products

You’ll Love:

• Building scalable data platforms that power AI and Machine Learning solutions
• Working on high-impact, data-intensive systems with real-world scale
• Collaborating closely with product and engineering teams to deliver meaningful outcomes
• Raising the bar for data engineering best practices
• Exploring modern cloud data tooling and continuously improving how data systems are built and maintained

By joining our team, you’ll be part of a winning squad that plays to each other’s strengths and celebrates every success together. Apply now and show us you’ve got what it takes to take your consulting skills to the next level with Modus Create!