Data Engineer - Senior

Key Responsibilities

• Implement and maintain data quality to ensure the accuracy and reliability of data throughout the ETL process.
• Design, develop, and optimize ETL workflows to efficiently transfer data from file transfer services to S3 buckets and Snowflake.
• Ensure seamless data integration into data platform, enabling efficient consumption by downstream applications and reporting tools.
• Address data quality challenges, including inconsistencies in source data that do not meet ingestion requirements, which can lead to load failures or data backouts.
• Work closely with business owners, data analysts, business intelligence teams, and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Maintain and monitor pipelines, identify issues, and implement solutions to preserve data flow and integrity.

Qualifications

• Demonstrated mid-level+ experience in data engineering, with a emphasis on data quality assurance and ETL processes.
• Expertise in Python, PyPI, and SQL.
• Expert analytical and problem-solving skills.
• Demonstrate a strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity.
• Understanding of fundamental public-cloud capabilities.
• Proven capacity to comprehend business needs and convert them into technical requirements.
• Proven capacity to define success, deliver, and operate in an agile setting.

Pay

The salary range for this position is $80,000 - $100,000 per year, depending on experience and qualifications.

Schedule

This role is a hybrid position, combining remote work with in-person meetings and collaboration.