Analytics Engineer, Marketing Data

New York Technology Partners; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

New York Technology Partners seeks an experienced Analytics Engineer to build and maintain scalable data solutions supporting marketing analytics, reporting, and modeling. You will work with marketing data from multiple sources, transforming complex data into analytics-ready datasets.

The role requires strong Python and SQL skills, experience with Databricks, BigQuery, or Snowflake, and hands-on ETL/ELT pipeline development.

Qualifications

• 5+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Hands-on experience with marketing data or marketing analytics.
• Strong proficiency in Python and SQL.
• Experience with Databricks, BigQuery, or Snowflake.
• Experience building and maintaining ETL/ELT data pipelines.
• Experience ingesting and integrating data through REST APIs.
• Salesforce or Salesforce data experience is highly preferred.

Responsibilities

• Build and maintain scalable pipelines for marketing, customer, campaign, Salesforce, API, and enterprise data.
• Ingest, integrate, clean, and transform data from multiple marketing and enterprise sources.
• Develop data models and datasets supporting marketing analytics, dashboards, reporting, segmentation, and advanced modeling.
• Build API integrations and Python-based ingestion workflows.
• Monitor data quality, troubleshoot pipeline issues, and implement testing and validation processes.
• Maintain documentation, metadata, and data lineage.
• Use modern AI tools to assist with development, testing, troubleshooting, and documentation.

Skills

Python

SQL

Marketing data analytics

ETL/ELT pipelines

REST API integration

Data modeling

Tools

Databricks

BigQuery

Snowflake

Salesforce

Job description

We are seeking an experienced Analytics Engineer to build and maintain scalable data solutions supporting marketing analytics, reporting, and modeling. This role will work closely with marketing data from multiple sources, including APIs, Salesforce, and cloud data platforms, transforming complex data into reliable, analytics-ready datasets.

Required Qualifications

• 5+ years of experience in Analytics Engineering, Data Engineering, or a similar role
• Hands-on experience working with marketing data or marketing analytics
• Strong proficiency in Python and SQL
• Experience with Databricks, BigQuery, or Snowflake
• Experience building and maintaining ETL/ELT data pipelines
• Experience ingesting and integrating data through REST APIs
• Salesforce or Salesforce data experience is highly preferred

Key Responsibilities

• Build and maintain scalable pipelines for marketing, customer, campaign, Salesforce, API, and enterprise data
• Ingest, integrate, clean, and transform data from multiple marketing and enterprise sources
• Develop data models and datasets supporting marketing analytics, dashboards, reporting, segmentation, and advanced modeling
• Build API integrations and Python-based ingestion workflows
• Monitor data quality, troubleshoot pipeline issues, and implement testing and validation processes
• Maintain documentation, metadata, and data lineage
• Use modern AI tools to assist with development, testing, troubleshooting, and documentation