Remote Principal Data Engineer - Big Data

Our client is a pioneering data analytics company, seeking a Principal Data Engineer for a fully remote position. You will be at the forefront of designing, building, and maintaining scalable, high-performance big data infrastructure. The ideal candidate possesses extensive experience with distributed systems, cloud platforms, and modern data warehousing techniques. You will work with vast datasets, enabling advanced analytics, machine learning, and business intelligence initiatives.

This role requires a strategic thinker with a deep technical understanding of the entire data lifecycle, from ingestion and transformation to storage and access. Our client fosters a collaborative, remote-first culture, emphasizing innovation and technical excellence. You will lead architectural decisions, mentor junior engineers, and ensure the reliability and efficiency of our data pipelines, impacting critical decision-making across the organization.

This is a unique opportunity to shape the future of data engineering in a flexible, remote work environment.

• Design, build, and maintain scalable and robust data pipelines for large-scale data processing.
• Develop and optimize data models and structures for efficient storage and retrieval.
• Implement and manage big data technologies and platforms (e.g., Spark, Hadoop, Kafka, Snowflake, Big Query).
• Deploy and manage data solutions on cloud platforms such as AWS, Azure, or GCP.
• Ensure data quality, integrity, and security across all data systems.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
• Automate data processes and implement monitoring and alerting systems.
• Provide technical leadership and mentorship to junior data engineers.
• Evaluate and adopt new data technologies and methodologies.

• Master's or Ph.D. degree in Computer Science, Engineering, or a related quantitative field.
• Minimum of 7 years of experience in data engineering, with a strong focus on big data technologies.
• Extensive experience with distributed data processing frameworks like Apache Spark.
• Proficiency in programming languages such as Python, Scala, or Java.
• Strong experience with cloud data warehousing solutions (e.g., Snowflake, Redshift, Big Query).
• Solid understanding of database design, SQL, and data modeling principles.
• Experience with real-time data streaming technologies (e.g., Kafka, Kinesis).
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving skills and a passion for building efficient data systems.
• Strong communication and leadership abilities.

• Our client offers a highly competitive salary, commensurate with experience, and a comprehensive remote work benefits package. This includes premium health insurance, generous retirement savings plans with company matching, performance bonuses, and ample paid time off.
• We provide opportunities for continuous learning, including access to advanced training, certifications, and conference attendance.
• This fully remote role offers the flexibility to work from your preferred location while contributing to industry-leading data solutions.
• Join our client and drive innovation in the world of big data.