HonorVet Technologies
Job Title:
Data Engineer Number of Positions:
4 Location:
New York, NY About the Role We are seeking talented
Data Engineers
to join our growing team in New York. In this role, you will design, build, and maintain
robust ELT pipelines
that power scalable data processing and analytics. You will work closely with cross-functional teams to ensure data is accurate, accessible, and actionable-supporting both business operations and advanced analytics. Key Responsibilities Design, develop, and manage
ELT pipelines
for data ingestion, transformation, and storage. Perform data manipulation, querying, visualization, and scripting using
Python libraries
such as PySpark, Pandas, and Dash. Write and optimize
SQL queries
to support data analysis and improve database performance. Implement and maintain
DevOps practices
including GitFlow, CI/CD pipelines, and containerization (Docker/Kubernetes). Collaborate with business and technical stakeholders to gather requirements and deliver scalable solutions. Leverage domain knowledge in the
media industry
to design data models and support business use cases. Communicate complex technical concepts to both technical and non-technical audiences. Qualifications
Strong proficiency in
Python
for data engineering tasks. Hands-on experience with
PySpark, Pandas, and Dash . Solid understanding of
SQL
and relational database systems. Working knowledge of
DevOps tools and practices , including GitFlow, CI/CD, Docker, and Kubernetes. Excellent communication and problem-solving skills. Media industry experience
is a strong plus.
Data Engineer Number of Positions:
4 Location:
New York, NY About the Role We are seeking talented
Data Engineers
to join our growing team in New York. In this role, you will design, build, and maintain
robust ELT pipelines
that power scalable data processing and analytics. You will work closely with cross-functional teams to ensure data is accurate, accessible, and actionable-supporting both business operations and advanced analytics. Key Responsibilities Design, develop, and manage
ELT pipelines
for data ingestion, transformation, and storage. Perform data manipulation, querying, visualization, and scripting using
Python libraries
such as PySpark, Pandas, and Dash. Write and optimize
SQL queries
to support data analysis and improve database performance. Implement and maintain
DevOps practices
including GitFlow, CI/CD pipelines, and containerization (Docker/Kubernetes). Collaborate with business and technical stakeholders to gather requirements and deliver scalable solutions. Leverage domain knowledge in the
media industry
to design data models and support business use cases. Communicate complex technical concepts to both technical and non-technical audiences. Qualifications
Strong proficiency in
Python
for data engineering tasks. Hands-on experience with
PySpark, Pandas, and Dash . Solid understanding of
SQL
and relational database systems. Working knowledge of
DevOps tools and practices , including GitFlow, CI/CD, Docker, and Kubernetes. Excellent communication and problem-solving skills. Media industry experience
is a strong plus.