Remote Data Engineer

Description:

• Design, build, and maintain scalable and reliable data pipelines for ingesting, processing, and transforming large volumes of data from diverse sources.
• Implement data models and schemas to support analytics, reporting, and machine learning applications, ensuring data quality, consistency, and performance.
• Integrate data from internal and external sources, including databases, APIs, and streaming platforms, ensuring data consistency and integrity across systems.
• Implement data transformation and cleansing processes to standardize and enrich data for analysis and modeling, using tools and frameworks such as Apache Spark or Apache Beam.
• Manage data storage solutions, including data lakes, data warehouses, and NoSQL databases, optimizing for performance, cost, and scalability.
• Implement data governance policies and security controls to ensure compliance with regulatory requirements and protect sensitive data.
• Monitor data pipelines and systems for performance, reliability, and efficiency, proactively identifying and addressing issues to minimize downtime and optimize resource utilization.
• Document data infrastructure and processes, including data dictionaries, data lineage, and workflow diagrams, 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 maintaining data pipelines and systems.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark or Apache Beam.
• Experience with data modeling and database design, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Familiarity with data integration tools and technologies, such as Apache Kafka, AWS Glue, or Google Dataflow.
• 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 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 engineering.