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CodeRoad

Senior Data Engineer

CodeRoad Modena, Emilia-Romagna, Italy

E-Learning Providers · 1 employee

7 h ago
Remote data-engineer Senior (5-10 yrs) Contractor Italy
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About the role

The Senior Data Engineer will design and maintain scalable data pipelines and architectures to ensure reliable data ingestion and transformation. They will also collaborate with stakeholders to define data models and mentor junior team members.

What they look for

Data Engineering ETL/ELT Snowflake Databricks Redshift Spark Airflow Kafka dbt SQL Python Scala AWS Azure GCP Data Modeling

Requirements

Candidates must have 5+ years of data engineering experience and proficiency in SQL, Python or Scala, and modern cloud data stacks. Strong communication skills in English are required for collaboration with US-based clients.

Benefits

Competitive Pay Holidays Off Paid Time Off Health insurance assistance program

Full description

About CodeRoad

CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.

About the Role

As a Senior Data Engineer, you will own the design and evolution of scalable data pipelines and architectures. You will act as the primary anchor for data ingestion, transformation, and storage solutions, ensuring that mission-critical data is accessible and reliable. This role is open to experts in various on-demand technologies (Snowflake, Databricks, Redshift, etc.), requiring a focus on data integrity and high-performance processing. Your success is measured by the efficiency of data workflows, the reliability of data lakes/warehouses, and your ability to translate complex data requirements into technical reality.

Key Responsibilities

  • Pipeline Development: Design and build robust ETL/ELT processes to handle large-scale data ingestion and transformation.
  • Architecture Design: Lead the evolution of data warehouses, lakes, and streaming architectures to support business intelligence and analytics.
  • Data Quality: Implement rigorous testing and monitoring to ensure data accuracy, consistency, and security.
  • Optimization: Manage and tune database performance, ensuring low-latency access for downstream applications.
  • Team Influence: Collaborate with Data Scientists and Stakeholders to define data models and support the growth of junior engineers through technical mentorship.

Requirements

  • Experience: 5+ years of dedicated data engineering experience.
  • Data Tech: Proficiency with modern data stacks (e.g., Spark, Airflow, Kafka, dbt) and cloud data warehouses (Snowflake, BigQuery, or Redshift).
  • Languages: Advanced proficiency in SQL and Python or Scala.
  • Cloud: Experience building data solutions on AWS, Azure, or GCP.
  • Modeling: Strong understanding of data modeling techniques (Star Schema, Data Vault, etc.).
  • Communication: Advanced English proficiency (written and verbal) for collaboration with US-based clients.
  • Environment: Mandatory experience in nearshore/offshore client-facing startup cultures.

What you’ll love:

  • USA Contractor / 100% Remote
  • Competitive Pay (USD)
  • Holidays Off & Paid Time Off
  • Health insurance assistance program
  • Opportunity to work with high-growth US-based companies and cutting-edge tech stacks.

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