Remote Senior Data Engineer

Our client is seeking a highly skilled and motivated Remote Senior Data Engineer to architect and manage their robust data infrastructure. This fully remote position offers a unique opportunity to work on cutting-edge data solutions from anywhere. You will be responsible for designing, building, and maintaining scalable and reliable data pipelines, databases, and data warehouses that support advanced analytics and business intelligence initiatives. The ideal candidate possesses a deep understanding of data architecture, ETL processes, big data technologies, and cloud data platforms. You will collaborate closely with data scientists, analysts, and software engineers to ensure data accessibility, quality, and efficiency. Key responsibilities include developing ETL/ELT processes, optimizing database performance, implementing data governance best practices, and ensuring the security and integrity of data. Proficiency in SQL, Python, and experience with cloud data services (AWS, Azure, GCP) and distributed data processing frameworks (e.g., Spark, Hadoop) are essential. You should be adept at translating complex data requirements into robust technical solutions and possess strong problem-solving skills. A proactive approach to identifying and resolving data challenges, along with a passion for enabling data-driven decision-making, is crucial. If you are an experienced data engineer passionate about building scalable data solutions in a flexible, remote environment, this is an exciting opportunity.

Responsibilities: Design, build, and maintain scalable data pipelines and ETL/ELT processes. Develop and manage data warehouses and data lakes. Optimize database performance and ensure data integrity. Implement data governance policies and standards. Collaborate with data scientists and analysts to understand data needs. Utilize cloud data services (AWS, Azure, GCP) for data storage and processing. Work with big data technologies and distributed computing frameworks. Ensure the security and compliance of data infrastructure. Troubleshoot and resolve data-related issues. Mentor junior data engineers and contribute to best practices. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field. Proven experience as a Data Engineer, with a strong focus on building data pipelines and infrastructure. Expertise in SQL, Python, and data warehousing concepts. Experience with cloud data platforms (e.g., AWS Redshift, S3, EMR; Azure Data Factory, Synapse; Google BigQuery). Familiarity with big data technologies (e.g., Spark, Hadoop). Strong understanding of data modeling and database design. Excellent problem-solving and analytical skills. Strong communication and collaboration skills for remote work.