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Senior Data Analytics Engineer

Roles & Responsibilities

  • +5 years of experience in Data Engineering
  • Hands-on experience with modern data platforms and tools, including Snowflake, dbt, Airflow, Databricks, Redshift, Palantir
  • Strong knowledge of data warehouse and lakehouse architectures, including Medallion Architecture
  • Experience with ETL and ELT processes

Requirements:

  • Design and develop high-quality data and analytics solutions using modern data platforms.
  • Contribute to architecture and technical design decisions, ensuring scalability, security, and reliability.
  • Work directly with clients to gather requirements and provide technical guidance and best practices.
  • Mentor junior engineers through code reviews, troubleshooting, and technical support.

Job description

📍 Remote
🕒 Preferred time zone overlap: US ET & CT
💼 Experience: +5 years

About the Role

We are looking for a Senior Data Analytics Engineer with strong experience in Data Engineering, focused on AWS and Snowflake. This role combines hands-on technical execution with direct client interaction to deliver scalable, reliable, and high-quality data solutions using modern data platforms.

Key Responsibilities

  • Design and develop high-quality data and analytics solutions using modern data platforms.
  • Contribute to architecture and technical design decisions, ensuring scalability, security, and reliability.
  • Work directly with clients to gather requirements and provide technical guidance and best practices.
  • Mentor junior engineers through code reviews, troubleshooting, and technical support.
  • Collaborate with project managers, business analysts, and engineers to meet delivery milestones.
  • Ensure solution quality through testing, optimization, and proactive issue identification.
  • Stay up to date with industry trends, tools, and best practices in data engineering and analytics.

Requirements

  • +5 years of experience in Data Engineering.
  • Hands-on experience with modern data platforms and tools, including:
    • Snowflake
    • dbt
    • Airflow
    • Databricks
    • Redshift
    • Palantir
  • Strong knowledge of data warehouse and lakehouse architectures, including Medallion Architecture.
  • Experience with ETL and ELT processes.
  • Data modeling experience using dimensional and Kimball methodologies.
  • Advanced SQL skills.
  • Experience in data profiling and anomaly detection.
  • Solid background in relational databases.
  • Familiarity with Agile development practices.
  • Experience with DevOps and CI/CD pipelines.

Required Soft Skills

  • Excellent verbal and written communication skills.
  • Comfortable working in client-facing environments.
  • Ability to work independently with minimal supervision.
  • Proactive mindset with strong ownership and follow-through.
  • Strong problem-solving and analytical thinking abilities.

Benefits

  • Fully remote position
  • Competitive salary

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