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.

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.