Senior Data Engineer

Summary

Join Blue Coding, a leading next-gen software developer, and work remotely from anywhere in the Americas! We are seeking an experienced Data Engineer to work with a US-based life insurance client. You will design, develop, and maintain data pipelines and data stores, collaborating with various teams to deliver data solutions. This role requires expertise in data management, visualization, and programming languages like Python and Scala. Enjoy a flexible schedule, USD salary, and a supportive, remote-first work environment.

Requirements

• Bachelor’s degree in Computer Science, Information Systems or demonstrated ability in a related field is required
• Expertise in data management using structured (SQL) and unstructured (NoSQL) approaches, with Redshift experience as a plus
• Proficiency in data visualization principles, especially with PowerBI and Tableau
• Familiarity with Agile methodologies and tools like Jira
• Knowledge of software development life cycles and practices, including git and cloud-native technologies like S3, EMR (Spark), Lambda, Kinesis, Firehose, Glue, and Terraform
• Programming expertise in Python and/or Scala, with an understanding of infrastructure as code principles
• Experience in data pipeline design, database modeling for analytical datasets or feature stores, and cloud software monitoring/alerting
• Familiarity with client/server concepts, including SFTP, APIs, and web scraping, and supporting data visualization users (e.g., Tableau, PowerBI) or analytics/data science teams
• Strong communication skills and a commitment to professional growth in data engineering and architecture
• Proven ability to design enterprise-scale solutions with long-term business impact
• Leadership capabilities, including coaching, mentoring, and developing peers
• Excellent time management and independent problem-solving skills, with a self-motivated and driven work ethic
• Ambitious, collaborative team player with a Bachelor's degree or higher in Computer Science, Information Systems, or a related field (or demonstrated equivalent ability)
• 1-5 years of experience in data engineering or a technical role within data environments

Responsibilities

• Design, develop, and maintain data pipelines and data stores that support enterprise data science, analytics, and operations
• Identify, track, and analyze the performance of data layer services, implementing solutions and improvements to enhance stability, efficiency, and performance
• Collaborate with your peers across the Research and Technology organization
• Ability to guide, coach, and mentor engineers, BI Developers, and analysts

Preferred Qualifications

Redshift experience is a plus

Benefits

• Salary in USD
• Flexible schedule (within US Time zones)
• 100% Remote