Remote Senior Data Engineer

Description:

• Design, build, and maintain scalable and efficient data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
• Implement data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and performance.
• Build and optimize data warehouses and data lakes to store and manage structured and unstructured data for analytics and reporting purposes.
• Integrate data from disparate sources and systems, ensuring data consistency, quality, and completeness.
• Establish and enforce data governance policies and best practices to ensure data quality, security, and compliance.
• Optimize data pipelines and queries for performance and efficiency, improving system scalability and reliability.
• Implement monitoring and alerting systems to track data pipeline performance and health, minimizing downtime and data loss.
• Document data infrastructure and pipelines to facilitate understanding and collaboration among team members.
• Collaborate with cross-functional teams to understand requirements and deliver data solutions that meet business needs.
• Mentor junior engineers, providing guidance, support, and technical leadership in data engineering best practices and technologies.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
• 5+ years of experience in data engineering, focusing on designing, building, and maintaining data infrastructure and pipelines.
• Proficiency in programming languages like Python, Java, or Scala, and experience with data engineering frameworks and tools such as Apache Spark, Apache Kafka, Apache Airflow, or similar.
• Strong understanding of data modeling concepts and techniques, with experience designing and implementing data models and schemas for relational and non-relational databases.
• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and familiarity with cloud-based data services such as Amazon Redshift, Google BigQuery, or Azure Synapse Analytics.
• Familiarity with SQL and NoSQL databases, data warehousing, and ETL/ELT processes.
• Strong problem-solving skills and analytical thinking to troubleshoot complex data issues and optimize system performance.
• Excellent communication and collaboration skills to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits:

• Competitive salary ranging from $170,000 to $230,000 per year, depending on experience and qualifications.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and remote work options.
• Generous vacation and paid time off.
• Professional development opportunities, including access to training programs, conferences, and workshops.
• State-of-the-art technology environment with access to cutting-edge tools and resources.
• Vibrant and inclusive company culture with opportunities for growth and advancement.
• Exciting projects with real-world impact at the forefront of data-driven innovation.