Data Engineer

Description:
Hybrid 4 days on-site, 1 day work from home in St. Louis, MO Our client seeks an experienced Data Engineer to support scrum teams working on an enterprise-level data platform. The ideal candidate will have a strong background in designing, developing, and maintaining data solutions, with expertise in SQL, Python, and data warehousing concepts.

Responsibilities:

• Design and implement scalable data pipelines and ETL processes
• Collaborate with business analysts and developers to understand data requirements
• Optimize and maintain existing data solutions for performance and reliability
• Ensure data quality and integrity through validation and testing
• Document data models, processes, and system architecture
• Support agile development practices and sprint activities

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or related field
• 5+ years of experience as a Data Engineer or similar role
• Proficient in SQL, Python, and data warehousing technologies (e.g., Snowflake, Redshift, BigQuery)
• Experience with big data technologies such as Hadoop, Spark, or Kafka
• Strong understanding of data modeling, ETL processes, and data governance
• Excellent problem-solving skills and ability to work in a fast-paced environment

Preferred Qualifications:

• Master's degree in a related field
• Experience with cloud platforms (AWS, Azure, GCP)
• Knowledge of data visualization tools (Tableau, Power BI)
• Familiarity with machine learning concepts and applications