Senior Data Engineer

Saxon GlobalMiami, FL

About The Position

We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, building, and maintaining large-scale data solutions. You will play a crucial role in developing and optimizing our data infrastructure, ensuring data quality, and enabling data-driven decision-making across the organization.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience as a Data Engineer working on large-scale data solutions.
  • Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).
  • Deep understanding of big data tools such as Hadoop and Spark.
  • Strong knowledge of ETL processes and data integration patterns.
  • Hands-on experience with cloud platforms such as AWS S3, Azure Data Lake, Google BigQuery, Snowflake.
  • Expertise with SQL and NoSQL databases, database design, and query optimization.
  • Experience building and managing data warehouses for performance and scalability.
  • Proficiency in software engineering best practices: Git/version control, CI/CD pipelines, Unit testing.

Responsibilities

  • Design, build, and maintain scalable and reliable data pipelines and ETL processes.
  • Develop and optimize data warehouse solutions for performance and scalability.
  • Collaborate with data scientists and analysts to understand data needs and provide solutions.
  • Implement and manage data integration patterns to ensure seamless data flow.
  • Ensure data quality and integrity throughout the data lifecycle.
  • Utilize cloud platforms and big data technologies to process and analyze large datasets.
  • Apply software engineering best practices to data engineering projects.
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