Note: The job is a remote job and is open to candidates in USA. New York Technology Partners is seeking an Analytics Engineer to build and maintain scalable data pipelines that integrate Salesforce, marketing platforms, APIs, and other enterprise systems. The role focuses on data transformation, modeling, quality, documentation, and developing AI-ready datasets to support reporting, analytics, and AI/LLM use cases.
Responsibilities
- Design and maintain scalable data pipelines integrating Salesforce, marketing platforms, APIs, and other enterprise data sources
- Develop data transformations and models that support analytics, reporting, dashboards, and advanced modeling
- Build API-based integrations and Python solutions for automated and reliable data ingestion
- Ensure data quality, integrity, and availability through testing, validation, monitoring, and troubleshooting
- Partner with data and business teams to understand requirements and develop trusted, well-structured datasets
- Create and maintain metadata, data definitions, technical documentation, and data lineage
- Develop AI-ready data assets and leverage modern AI tools to improve engineering, testing, troubleshooting, and documentation workflows
Skills
- 5+ years of experience in Analytics Engineering, Data Engineering, or a similar data-focused role
- Strong SQL and Python skills with experience building production-grade data pipelines
- Hands-on experience with a modern cloud data platform such as Snowflake, Databricks, or BigQuery
- Strong experience with REST APIs, including authentication, pagination, error handling, and schema changes
- Extensive experience working with Salesforce data , including its underlying data structures and relationships
- Experience integrating marketing data across CRM, campaign, digital, media, or customer platforms
- Strong understanding of data modeling, data warehousing, data quality, governance, and production engineering practices
- Experience with BI platforms such as Power BI, Tableau, or Looker is a plus
- Experience with Rivery, Boomi, AI/LLM data preparation, RAG, or agent-based use cases is a plus
Company Overview
Company H1B Sponsorship