Data Engineer

Encora is looking for a skilled and motivated Data Engineer with 2–5 years of experience to join our growing data team. You will play a key role in designing, building, and maintaining scalable data pipelines and infrastructure that empower analytics, machine learning, and business intelligence. The ideal candidate is passionate about data, has a solid understanding of modern data engineering practices, and is comfortable working in a fast-paced environment.

This is a 6 month project with high likelihood of extension, working 100% remote supporting EST work hours. 

Key Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines using tools like Apache Airflow, dbt, or similar.
• Work closely with data analysts, scientists, and business stakeholders to understand data requirements and translate them into scalable solutions.
• Optimize and manage data storage and data lake/warehouse solutions (e.g., Snowflake, BigQuery, Redshift, or Azure Synapse).
• Ensure data quality, integrity, and compliance with data governance and security policies.
• Monitor and troubleshoot data workflows to ensure high availability and performance.
• Contribute to the architecture and development of a modern data platform using cloud technologies (AWS, GCP, or Azure).
• Document data models, pipelines, and processes for internal use and training.

Required Qualifications:

• 2–5 years of hands-on experience as a Data Engineer or similar role.
• Proficiency in SQL and at least one programming language (e.g., Python, Java, or Scala).
• Experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, dbt, Luigi).
• Solid understanding of data modeling, warehousing concepts, and performance tuning.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with version control tools like Git and CI/CD practices.
• Strong problem-solving skills and attention to detail.