📍 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.
+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.
Fully remote position
Competitive salary