Junior Data Engineer

Role Overview

Join our dynamic Data team as a Junior Data Engineer and gain hands-on experience building and maintaining data solutions that support real business needs. You will work closely with cross-functional teams to support data-driven projects, assist in improving data quality, performance, and reliability, and gain exposure to modern data tools, technologies, and automation practices.

What You Will Do

Design, develop, and maintain scalable, secure, and cost-efficient data pipelines to ingest, transform, and serve structured and unstructured data for analytics, ML, and AI workloads. Implement modern ingestion and ELT pipelines using tools such as Openflow, Snowpipe-style services, and third-party ingestion frameworks.

Why It Might Be a Fit

If you're motivated, detail-oriented, and excited to launch your career in data engineering, we'd love you to join our team. We provide a supportive, team-oriented environment where you'll receive mentorship and opportunities to grow your technical and professional skills.

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related field
• Minimal one to three years' experience
• Minimum one (1) year proven experience with knowledge of modern data warehousing best practices
• Advanced proficiency in SQL and experience with databases such as PostgreSQL, MySQL, Snowflake, Redshift, or similar platforms
• Hands-on experience building cloud-based data pipelines
• Experience with orchestration tools such as Airflow, AWS Step Functions, or similar
• Strong understanding of data modeling, ELT/ETL patterns, and data quality frameworks
• Excellent problem-solving, communication, and collaboration skills
• Proficiency in Python, Java, or Scala, particularly for data transformation and pipeline development
• Experience enabling machine learning data pipelines, including feature engineering and training data preparation
• Familiarity with feature stores, vector databases, or AI-related data architectures
• Experience with modern ingestion and transformation tools, including Openflow, DBT, AWS Glue, SSIS, Fivetran, and Lambda-based pipelines
• Exposure to MLOps concepts, such as data versioning, lineage, and reproducible pipelines
• Cloud certifications (AWS, Azure, or GCP) preferred
• Experience working in Agile/Scrum development environments

Benefits

• Competitive overall compensation package
• Work/Life balance
• Employee engagement activities and recognition awards
• Years of Service awards
• Career enhancement and growth opportunities
• Leadership Academy and Mentor Program
• Continuing education and career certifications
• Variety of healthcare coverage options
• Traditional and Roth 401(k) retirement plans
• Lucrative Wellness Program