Data Engineer II

📋 Description Design, build, and maintain robust data pipelines (batch/streaming) Translate business needs into data solutions with product/engineering teams Monitor scaling, performance, and quality to prevent blockers Promote best practices: docs, code reviews, data modeling, tooling standards Participate in code reviews and knowledge sharing to raise data craft Support self-service data products with curated datasets and semantic layers 🎯 Requirements 2-3 years data engineering experience building data pipelines Proficiency in Python and SQL Spark (PySpark/SparkSQL) and distributed data processing Airflow and DBT orchestration experience Databricks and AWS familiarity BS in CS or equivalent; Terraform/IaC experience 🎁 Benefits In-office 4 days/week for NY, Chicago, and Lithuania teams Competitive compensation, equity, and 401(k) match Full health insurance coverage Wellness reimbursement Company-provided phone and personal development allowance Generous PTO, holidays, and extended leave