Data Engineer

📋 Description

• Design, build, and maintain scalable data pipelines for analytics.
• Develop reliable data systems powering analytics and ML.
• Write clean code using Python, SQL, and Spark.
• Ensure data is reliable, accurate, and timely.
• Lead projects to improve data products end-to-end.
• Collaborate with analysts, data scientists, and product managers.

🎯 Requirements

• 3+ years in data/analytics engineering or data-focused software.
• Strong SQL skills; proficient in Python, Java, or Scala.
• Hands-on with Databricks, Airflow, dbt, Spark, or Kafka.
• Data modeling, warehousing, and ETL/ELT best practices.
• Experience with cloud data platforms (AWS, GCP, or Azure).

🎁 Benefits

• Health plans including medical, vision, and dental.
• Fertility and family planning support.
• Mental health resources and programs.
• Generous PTO and paid holidays.
• 401(k) with up to 5% employer match.
• Commuter benefits.