Remote Senior Data Engineer (V)

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Description:

  • Blue Coding is seeking an experienced Senior Data Engineer to work remotely with a US client in the life insurance sector.
  • The role involves the development and maintenance of systems in enterprise data and analytics environments.
  • Responsibilities include optimizing performance by building and supporting decision-making tools and collaborating with software engineering, AI/ML, Cybersecurity, and DevOps/SysOps teams.
  • The Data Engineer will design, develop, and maintain data pipelines and data stores that support enterprise data science, analytics, and operations.
  • The position requires identifying, tracking, and analyzing the performance of data layer services, implementing solutions to enhance stability and efficiency.
  • The role also includes guiding, coaching, and mentoring engineers, BI Developers, and analysts.
  • The work environment is fully remote and flexible, allowing for work from anywhere in the listed countries.

Requirements:

  • A Bachelorโ€™s degree in Computer Science, Information Systems, or a related field is required.
  • Expertise in data management using both structured (SQL) and unstructured (NoSQL) approaches is necessary, with Redshift experience being a plus.
  • Proficiency in data visualization principles, particularly with PowerBI and Tableau, is required.
  • Familiarity with Agile methodologies and tools like Jira is essential.
  • Knowledge of software development life cycles, including git and cloud-native technologies such as S3, EMR (Spark), Lambda, Kinesis, Firehose, Glue, and Terraform is needed.
  • Programming expertise in Python and/or Scala is required, along with an understanding of infrastructure as code principles.
  • Experience in data pipeline design, database modeling for analytical datasets, and cloud software monitoring/alerting is necessary.
  • Familiarity with client/server concepts, including SFTP, APIs, and web scraping, is important.
  • Strong communication skills and a commitment to professional growth in data engineering and architecture are essential.
  • Proven ability to design enterprise-scale solutions with long-term business impact is required.
  • Leadership capabilities, including coaching and mentoring peers, are necessary.
  • Excellent time management and independent problem-solving skills are required, along with a self-motivated work ethic.
  • 1-5 years of experience in data engineering or a technical role within data environments is necessary.

Benefits:

  • The position offers a salary in USD.
  • A flexible schedule is provided, allowing work within US time zones.
  • The role is 100% remote, enabling employees to work from anywhere.
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