Data Engineer

Job Description

We are looking for an experienced Data Engineer to join our team in New York, New York. In this role, you will design, develop, and optimize data systems that support business intelligence and analytics. This is an excellent opportunity for someone passionate about data architecture, cloud technologies, and mentorship to make a significant impact.

Responsibilities:

• Design and implement scalable data warehouse systems using modern orchestration frameworks such as Airflow.

• Develop efficient ETL pipelines to process, transform, and integrate data from multiple sources.

• Leverage APIs, including GraphQL and OData, for seamless data integration and retrieval.

• Build and maintain cloud-native systems using containerization tools like Docker and Kubernetes.

• Utilize modern data warehousing solutions such as Snowflake, Databricks, or similar platforms.

• Provide technical mentorship and foster a collaborative environment for knowledge sharing within the team.

• Optimize data processing workflows using open-source tools and programming languages, including Python.

• Monitor and troubleshoot data pipelines to ensure reliability and performance.

• Collaborate with cross-functional teams to define data requirements and deliver actionable insights.• At least 7 years of experience in software or data engineering or related fields.

• Proven expertise in designing and implementing large-scale data architecture and systems.

• Strong proficiency in Python and familiarity with open-source data processing frameworks.

• Hands-on experience with orchestration tools such as Apache Airflow.

• Knowledge of modern data warehousing platforms like Snowflake, Databricks, or Microsoft Fabric.

• Familiarity with APIs, including GraphQL and OData, for data integration purposes.

• Experience working with containerization and orchestration technologies, including Docker and Kubernetes.

• Passion for mentoring team members and sharing technical knowledge.

Full-time