Senior Data Engineer: Marketing Analytics & AI Pipelines

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

Benefits offered by this job

Eki.Academy training

Global mobility opportunities

20 days PTO + 11 holidays

Hybrid work environment

Job summary

Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions with offices in New York and other major cities. We seek a Senior Data Engineer to lead high-impact ETL and data-architecture initiatives supporting Marketing Mix Modeling and broader analytics.

You will design scalable data pipelines, collaborate with data scientists and tech leads, manage stakeholders, and deliver reliable data platforms across multiple projects in a hybrid working environment.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related quantitative field.
• 4–6 years of experience in data engineering, analytics, or statistical modeling.
• Proficiency with Databricks (Delta Lake, Spark, Asset Bundles, Unity Catalog, Cluster Management).
• Proficiency in Python and working knowledge of SQL, Spark, and Bash scripting.

Responsibilities

• Design, develop, and deploy scalable data pipelines and ETL workflows in Databricks.
• Transform and harmonize data from diverse sources and formats (APIs, CSV, JSON, databases, cloud platforms).
• Build cloud-based data solutions enabling analytics-ready datasets and dashboards.
• Define and implement robust data architectures with QA, validation, and monitoring.

Skills

Data engineering

Python

SQL

ETL/ELT

Project management

Stakeholder communication

Team collaboration

Education

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

Tools

Databricks

Azure

GCP

AWS

PowerBI/Tableau

CI/CD

Shell scripting (Bash)

Job description

Ekimetrics is a global leader in Marketing & Commercial effectiveness and AI-powered solutions with offices in New York and other major cities. We seek a Senior Data Engineer to lead high-impact ETL and data-architecture initiatives supporting Marketing Mix Modeling and broader analytics.

You will design scalable data pipelines, collaborate with data scientists and tech leads, manage stakeholders, and deliver reliable data platforms across multiple projects in a hybrid working environment.