Remote Lead Data Engineer

Description:

• Lead a team of data engineers in designing, developing, and maintaining data infrastructure and pipelines.
• Collaborate with cross-functional teams to deliver end-to-end data solutions supporting the organization's needs.
• Design and implement data models and schemas for analytical and operational requirements.
• Establish and enforce data governance policies to ensure data quality, security, and compliance.
• Optimize data pipelines and queries for performance and efficiency.
• Implement monitoring and alerting systems to track data pipeline performance.
• Define best practices for data engineering, documentation, and usage.
• Mentor junior engineers and provide growth opportunities in their data engineering careers.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• 7+ years of data engineering experience with a focus on data infrastructure and pipelines.
• Leadership experience in guiding and mentoring engineering teams.
• Proficiency in Python, Java, or Scala, and experience with data engineering frameworks like Apache Spark.
• Strong understanding of data modeling concepts and experience with cloud platforms like AWS or Azure.
• Familiarity with SQL, NoSQL databases, data warehousing, and ETL/ELT processes.
• Problem-solving skills, analytical thinking, and effective communication abilities.

Benefits:

• Competitive salary ranging from $200,000 to $300,000 per year.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and remote work options.
• Generous vacation and paid time off.
• Professional development opportunities including training programs and conferences.
• Access to state-of-the-art technology tools and resources.
• Vibrant and inclusive company culture with growth opportunities.
• Exciting projects with real-world impact in data-driven innovation.