Data Engineer

Summary

Join Foxbox Digital, an award-winning digital product agency, as a Data Engineer. You will design, build, and maintain data pipelines and integrations for AI/ML applications. Collaborate with data scientists and MLOps engineers to ensure data quality and reliability. This role requires experience with ETL/ELT pipelines, various data sources, and cloud-based solutions. Foxbox offers a remote-first environment, continuous training, and a collaborative team culture.

Requirements

• Have a Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
• Have 3+ years of hands-on experience in data engineering, building ETL/ELT pipelines, and managing data workflows in a production environment
• Be proficient in Python or Java for data processing
• Be familiar with SQL and NoSQL databases
• Have experience with cloud-based data solutions (AWS, Azure, or GCP)
• Have knowledge of distributed data processing (e.g., Spark, Hadoop, Databricks)
• Excel at working cross-functionally and translating data requirements into actionable solutions
• Have the ability to debug complex data issues quickly and innovate new approaches to data challenges

Responsibilities

• Build and maintain scalable ETL/ELT pipelines, transforming raw data into ready-to-use datasets for machine learning
• Connect to various data sources (e.g., Quickbase, REST APIs, databases) and ensure seamless data ingestion
• Implement validation rules, data profiling, and monitoring to maintain high data integrity
• Work with data scientists and MLOps engineers to optimize data workflows, improve model performance, and address bottlenecks
• Identify and resolve issues around data throughput and latency, ensuring pipelines can handle production-level loads
• Enforce data privacy best practices and role-based access control in accordance with project or regulatory requirements
• Set up alerts, logs, and metrics to proactively detect and resolve pipeline or data-related issues

Preferred Qualifications

• Have experience with Airflow, Kafka, or Azure Data Factory
• Have familiarity with CI/CD practices and Git-based workflows
• Have exposure to MLOps tools like MLflow or Kubeflow

Benefits

• We offer continuous training and growth opportunities
• Remote-first environment with a culture of collaboration and innovation
• Opportunity to work on a project that directly impacts business success
• You are part of a multicultural and collaborative team that is constantly growing