Overview:
Connection has a fantastic opportunity through our Technical Staffing division for a Part-Time Contract Data Engineer. This is a 100% remote role!
The Data Engineer will work closely with the Research, Evaluation, and Data team to support data migration via AWS and optimize data infrastructure. This role plays a critical part in ensuring the security, accuracy, and accessibility of data that supports insights into sexual, emotional, and physical abuse within sports.
Responsibilities:
? Lead and manage data migration processes within AWS environments (Athena, Snowflake, etc.).
? Build and optimize data infrastructure to support reporting, security, and accessibility.
? Write, optimize, and manage complex SQL queries, stored procedures, and reporting schemas.
? Build and monitor APIs to facilitate smooth data ingestion and reporting.
? Develop KPIs, dashboards, and scheduled reports to maintain data integrity and enhance accessibility.
? Implement data validation processes and ensure compliance with privacy and security standards.
? Work closely with internal teams to support federal grant reporting, dashboard development, and reporting automation.
Min: USD $70.00/Hr. Max: USD $80.00/Hr. Qualifications:
? Expert-level SQL knowledge with experience in data architecture and reporting schema development.
? Strong AWS experience, including Athena, Snowflake, and data migration processes.
? 5+ years of experience in data engineering and analysis, or a Bachelor?s degree in a related field with 2+ years of applied experience.
? Proficiency in Python, C#, Java, and front-end UI development.
? Experience working with BI tools such as Looker, Tableau, or similar.
? Ability to develop, manage, and optimize data pipelines for large-scale data integration.
? Strong problem-solving skills and ability to work independently in a remote setting.
Nice-to-Have Skills:
? Experience handling confidential or sensitive data, particularly related to minors, sexual abuse, or domestic violence survivors.
? Understanding of values-oriented evaluation methods and participatory research.
? Experience in training or capacity-building in data systems.
? Master?s or PhD in a related field.
