Data Engineer

About the Role

Our client is seeking a dedicated and analytical Data Engineer to join their expanding, fully remote analytics team. This role is essential for building and maintaining robust, scalable data pipelines that enable data-driven decision-making across the organization. You will be responsible for data ingestion, transformation, storage, and ensuring the availability and quality of data for analysis and reporting. The ideal candidate has a strong background in SQL, data warehousing concepts, and experience with cloud-based data platforms, and is eager to contribute to a data-centric culture where insights drive strategy in a flexible, remote working arrangement.

Key Responsibilities

• Design, build, and maintain efficient and reliable data pipelines for batch and real-time data processing.
• Develop and optimize ETL/ELT processes to ingest data from various sources into data warehouses or data lakes.
• Implement data quality checks and monitoring systems to ensure data accuracy and integrity.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Develop and manage data models and database schemas optimized for analytical workloads.
• Ensure data security and compliance with relevant regulations within the data infrastructure.

Requirements

• A Bachelor's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• 2+ years of experience in data engineering, database development, or a similar role.
• Strong proficiency in SQL and experience with relational databases.
• Experience with at least one major cloud platform (AWS, Azure, GCP) and their data services (e.g., S3, Redshift, BigQuery, Azure Data Lake).
• Familiarity with programming languages like Python or Scala for data manipulation and pipeline scripting.
• Understanding of data warehousing concepts, data modeling, and ETL/ELT principles.

Benefits

• Competitive salary commensurate with experience and qualifications.
• A fully remote working environment, offering exceptional flexibility and work-life balance.
• Comprehensive health, dental, and vision insurance plans.
• Opportunities for continuous learning and professional development in data technologies.
• A collaborative team culture that values innovation and data-driven insights.
• Generous paid time off and company holidays.