Remote Senior Data Engineer

Description:

• Design, develop, and maintain scalable data pipelines using AWS services like Glue, Redshift, RDS, and S3.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and create robust data solutions.
• Optimize and manage ETL processes to ensure timely and accurate data availability for analytics.
• Monitor, troubleshoot, and enhance data pipelines for performance, scalability, and reliability.
• Develop and maintain data models in Redshift to support various business reporting needs.
• Implement data quality checks and ensure compliance with data governance standards.
• Manage and optimize AWS infrastructure for cost-effective resource utilization and security best practices.
• Collaborate with DevOps and infrastructure teams to automate data pipeline deployments and integrate with CI/CD processes.

Requirements:

• 5+ years' experience as a Data Engineer with expertise in AWS services such as Glue, Redshift, RDS, and S3.
• Proficiency in SQL, data modeling, schema design, and query optimization.
• Experience with ETL tools, particularly AWS Glue, and data warehousing concepts, especially Redshift.
• Knowledge of Python, Spark, or other data processing programming languages.
• Familiarity with data governance, data quality, and data security best practices.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Benefits:

• 100% Remote Work
• Health Care Plan (Medical, Dental & Vision) for employee and family
• Collaborative culture with virtual & optional in-person events, retreats & swag
• Training & Development opportunities including individual training budget, technical book club, and study groups
• Encouragement for certifications with bonuses
• Mentoring Program with bi-weekly 1:1s
• Up-to-date technologies, tools, and methodologies
• Parental Leave (Maternity & Paternity)
• Flexible PTO plan
• Retirement Plan (401k)