Data Engineer

We are seeking a Senior Data Engineer (Freelance) to support the design, development, and optimization of scalable data systems for a fast-paced, data-driven organization. This role requires deep technical expertise across modern cloud data platforms and a strong ability to build robust, efficient pipelines that power analytics and business insights.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Develop and optimize data architectures using cloud-based solutions
• Work closely with data scientists, analysts, and product teams to deliver high-quality datasets
• Implement data modeling strategies to support analytics and reporting needs
• Ensure data quality, integrity, and governance across systems
• Optimize performance and cost-efficiency of data infrastructure
• Troubleshoot and resolve complex data engineering issues
• Contribute to best practices, documentation, and code standards

Required Qualifications

• 5 years of experience in data engineering or a related field
• Strong experience with Azure (Data Factory, Synapse, or related services)
• Hands-on experience with Databricks for large-scale data processing
• Deep knowledge of Snowflake data warehousing
• Advanced proficiency in Python and SQL
• Experience building and maintaining ETL/ELT pipelines
• Strong understanding of data modeling, warehousing concepts, and distributed systems
• Experience working in agile, cross-functional teams

Preferred Qualifications

• Experience with streaming data technologies (e.g., Kafka, Spark Streaming)
• Familiarity with CI/CD pipelines and infrastructure-as-code
• Knowledge of data governance and security best practices
• Previous experience in enterprise or high-volume data environments

Working Model

• Hybrid role based in Atlanta, GA
• 4 days onsite per week, 1 day remote

Contract Details

• Freelance / contract engagement
• Competitive hourly or daily rate, based on experience
• Potential for extension based on performance and project needs