Sr Data Engineer
Location: Chicago, IL (Remote)
Rate: $60 C2C
Requirements:
snowflake , postgresql, python pyspark
We are looking for a highly skilled Data Engineer to join our team. The ideal candidate will have a strong background in building and optimizing data pipelines, designing scalable data systems, and working with large data sets. This role requires technical expertise, attention to detail, and the ability to collaborate across multiple teams.
Key Responsibilities:
Design, develop, and maintain scalable and efficient data pipelines.
Build and optimize data workflows, ensuring accuracy, quality, and consistency across systems.
Collaborate with cross-functional teams to define data requirements and deliver reliable solutions.
Implement data models, ETL processes, and data integration strategies.
Ensure compliance with data governance and security standards.
Troubleshoot, optimize, and maintain data infrastructure for high performance.
Required Skills & Qualifications
Strong proficiency in SQL and Python.
Hands-on experience with ETL frameworks and building complex data systems.
Familiarity with cloud platforms such as AWS (preferred).
Solid understanding of data warehousing concepts.
Strong analytical and problem-solving skills with high attention to detail.
Ability to work collaboratively in cross-functional environments.
Preferred / Nice-to-Have Skills:
Experience with big data technologies such as Hadoop or Apache Spark.
Knowledge of data lake architectures and advanced data modeling techniques.
Exposure to DevOps practices for data pipeline automation and monitoring.