Senior Data Engineer: Scalable ETL & Marketing Analytics

Ekimetrics; New York (NY); Hybrid; USD 125,000 - 140,000; Full time

Benefits offered by this job

Hybrid work environment

20 days PTO + holidays

Job summary

Ekimetrics is seeking a Senior Data Engineer in New York City to lead and contribute to high-impact projects for global clients, designing and optimizing ETL solutions that support Marketing Mix Modeling and analytics. You will work with data engineers, data scientists, and tech leads on 1-2 concurrent projects to build scalable data architectures and enable data-driven decisions.

You will also manage stakeholder expectations, drive project delivery, and participate in mentorship and cross-team

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field, with 4-6 years of experience in data engineering, analytics, or statistical modeling.

Responsibilities

• Design, develop, and deploy scalable data pipelines and ETL workflows in Databricks.

Skills

Databricks

Python

SQL

Spark

Bash

CI/CD

ELT/ETL

Azure

Power BI/Tableau

Education

Bachelor’s or Master’s degree in Data Science/CS/Engineering

Tools

Databricks

Azure

Power BI

Tableau

Spark

Unity Catalog

Job description

Ekimetrics is seeking a Senior Data Engineer in New York City to lead and contribute to high-impact projects for global clients, designing and optimizing ETL solutions that support Marketing Mix Modeling and analytics. You will work with data engineers, data scientists, and tech leads on 1-2 concurrent projects to build scalable data architectures and enable data-driven decisions.

You will also manage stakeholder expectations, drive project delivery, and participate in mentorship and cross-team