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Encora

Data Engineer

Posted 13 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
The Data Engineer will design and maintain ETL/ELT pipelines and storage solutions, ensuring data quality and compliance while optimizing data workflows.
The summary above was generated by AI

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.

Top Skills

Apache Airflow
AWS
Azure
Azure Synapse
BigQuery
Ci/Cd
Dbt
GCP
Git
Java
Python
Redshift
Scala
Snowflake
SQL

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