Data Engineer

Job Summary

To support the development of scalable data solutions, the full-time remote Mid-Level Data Engineer will build, improve, and maintain data pipelines and infrastructure while collaborating with cross-functional teams and utilizing technologies such as SQL, Python, Spark/PySpark, and AWS.

Key responsibilities:

• Design, build, and maintain reliable production data pipelines within the data engineering environment
• Develop and optimize data processing workflows using SQL, Python, Spark/PySpark, and Databricks
• Collaborate with engineers, data scientists, and business teams to translate data needs into effective solutions

Required qualifications:

• Approximately three to five years of experience in data engineering, software engineering, or a related field with a focus on production data pipelines
• Professional experience using SQL and Python for data building, transformation, and troubleshooting
• Experience with distributed data processing technologies such as Spark or PySpark
• Familiarity with cloud-based environments, specifically AWS, and modern data engineering practices
• Ability to independently complete defined engineering tasks and communicate technical decisions effectively