Remote Data Systems Engineer

Description:

• Design and architect scalable and resilient data systems infrastructure to meet business requirements and support data processing and analytics needs.
• Develop and maintain data pipelines to ingest, process, and transform large volumes of data from various sources into usable formats for analysis and reporting.
• Implement and manage data storage solutions, including databases, data lakes, and distributed file systems, ensuring optimal performance and reliability.
• Integrate data from diverse sources, including internal databases, external APIs, and third-party data providers, ensuring data consistency and integrity.
• Optimize data systems performance for speed, scalability, and cost-effectiveness, leveraging caching, indexing, partitioning, and other techniques.
• Implement data security controls and governance policies to protect sensitive data and ensure compliance with regulatory requirements.
• Monitor data systems for performance, availability, and reliability, proactively identifying and addressing issues to minimize downtime and ensure data integrity.
• Document data systems architecture, processes, and best practices, and collaborate with cross-functional teams to ensure alignment and transparency.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, or related field.
• Strong background in data engineering, with hands-on experience in designing, building, and optimizing data systems infrastructure.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Flink, or Apache Beam.
• Experience with distributed computing technologies and concepts, including Hadoop, MapReduce, and distributed file systems (e.g., HDFS).
• Familiarity with database technologies such as SQL, NoSQL, and NewSQL databases, as well as cloud-based data storage solutions.
• Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits:

• Competitive salary: The industry standard salary for Data Systems Engineers typically ranges from $140,000 to $210,000 per year, depending on experience and qualifications. Exceptional candidates may be eligible for higher compensation packages.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and remote work options.
• Generous vacation and paid time off.
• Professional development opportunities, including access to training programs, conferences, and workshops.
• State-of-the-art technology environment with access to cutting-edge tools and resources.
• Vibrant and inclusive company culture with team-building activities and social events.
• Opportunities for career growth and advancement within the company.
• Exciting projects with real-world impact across diverse industries.
• Chance to work alongside top talent and industry experts in the field of data systems engineering.