Data Engineer - Big Data Pipelines

About the Role

Our client is seeking a skilled Data Engineer to join their dynamic IT and Software team. This fully remote position allows you to architect and build robust data pipelines and infrastructure that power advanced analytics and data-driven decision-making across the organization. You will work with large, complex datasets, transforming raw data into actionable insights. This is an exciting opportunity for a data professional passionate about optimizing data flow, ensuring data quality, and contributing to a cutting-edge data ecosystem, all within a flexible and supportive remote work environment.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines using ETL/ELT processes and tools.
• Develop and optimize data warehousing solutions and data lakes to support business intelligence and analytics.
• Implement data quality checks and monitoring systems to ensure accuracy and integrity of data.
• Work with various data sources, including databases, APIs, and streaming data platforms.
• Collaborate with data scientists and analysts to understand their data requirements and provide them with clean, accessible data.
• Optimize data processing performance and ensure efficient resource utilization.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in data engineering or a related role.
• Proficiency in SQL and experience with relational databases.
• Hands-on experience with big data technologies such as Spark, Hadoop, or Kafka.
• Experience with cloud data services (e.g., AWS Redshift, Azure Data Factory, GCP BigQuery).
• Familiarity with programming languages commonly used in data engineering (e.g., Python, Scala).

Benefits

• Competitive salary and annual bonus potential.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working schedule.
• Opportunities for professional development, training, and attending data conferences.
• Fully remote working arrangement, offering excellent work-life balance and flexibility.
• A collaborative and innovative team culture focused on data excellence.