Data Engineer

About the Role

Our client is looking for a detail-oriented and skilled Data Engineer to join their expanding, fully remote data team. This position is essential for designing, building, and maintaining scalable data pipelines and infrastructure that support analytics and business intelligence initiatives. You will work with large datasets, implement ETL processes, and ensure data quality and accessibility for various stakeholders. If you excel at optimizing data flows, enjoy working with diverse data technologies, and prefer the flexibility of a remote role, this is an excellent opportunity to contribute to data-driven decision-making.

Key Responsibilities

• Design, construct, install, and maintain robust, scalable data pipelines and ETL processes.
• Develop and manage data warehousing solutions to support business intelligence and analytics needs.
• Ensure data quality, integrity, and consistency across all data platforms.
• Collaborate with data scientists and analysts to understand their data requirements and provide reliable data sources.
• Optimize data retrieval and processing performance for large datasets.
• Implement data governance and security best practices within the data infrastructure.

Requirements

• 3+ years of experience in data engineering or a related role, with a strong understanding of data warehousing concepts.
• Proficiency in SQL and experience with at least one programming language commonly used in data engineering (e.g., Python, Scala, Java).
• Hands-on experience with big data technologies such as Spark, Hadoop, or Kafka.
• Experience with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure Data Factory).
• Familiarity with data modeling techniques and ETL/ELT tools.
• Excellent problem-solving skills and the ability to work independently in a remote setting .

Benefits

• A competitive annual salary of up to 62000 .
• A flexible, fully remote working arrangement.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and acquiring new data certifications.
• A collaborative team environment focused on building efficient and reliable data solutions.