Data Engineer

Career.io • ,

1d • Remote

About The Position

As a Data Engineer, you will play a critical role in shaping our data infrastructure and driving data-driven decision-making across the organization. We are seeking a talented and experienced individual with strong engineering principles and a deep understanding of data warehousing, data governance, and modern data engineering tools. This is a 3-6 month temporary role and is 100% remote.

Requirements

• 5+ years experience in data engineering
• Strong expertise in Snowflake data warehousing technologies.
• Proficiency in dbt for data transformation and modeling
• Strong expertise in data ingestion with both UI tools & code-based ones
• Experience with orchestration (Airflow, Prefect).
• Experience with data governance, data quality, and compliance.
• Knowledge of data testing methodologies and tools.
• Strong programming skills in languages such as SQL, Python, or Go.
• Excellent communication and collaboration skills.

Nice To Haves

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Master's degree preferred.

Responsibilities

• Design, build, and maintain a robust multi-stage data warehouse infrastructure, with a focus on Snowflake, ensuring scalability, performance, and data integrity.
• Manage efficient ELT pipelines to ingest, transform, and load data from various sources into the data warehouse.
• Implement and optimize dbt (data build tool) for data transformation, modeling, and documentation, ensuring data accuracy and consistency.
• Implement comprehensive data testing procedures, including unit tests, integration tests, and validation checks, to ensure data accuracy and reliability.
• Work closely with cross-functional teams, including data scientists, analysts, and product managers, to understand data requirements and provide actionable insights.
• Stay up-to-date with emerging data engineering technologies and best practices to drive continuous improvement and innovation within the team.

What This Job Offers

• Career Level: Mid Level
• Education Level: Associate degree