Senior Databricks Data Engineer for AI‑Driven CRM

Intetics; Town of Poland (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Intetics Inc. is seeking a Senior Data Engineer to join the team in a full-time role in the United States. You will own Databricks pipelines, drive reliability, cost efficiency, and platform growth while collaborating with ML engineers, product teams, and the Enterprise Architecture group.

The role emphasizes secure, scalable data flows across Azure and AWS environments. The ideal candidate has 4+ years of data engineering experience, strong PySpark/SQL/Python skills, and proficiency with Delta

Qualifications

• 4+ years of data engineering experience.
• Proficiency in PySpark, SQL and Python with production pipelines.
• Hands-on with Delta Lake schema evolution and ACID transactions.
• Experience with Databricks in Azure and/or AWS.
• Strong focus on data quality, security, and multi-tenant isolation.

Responsibilities

• Own Databricks production data pipelines and ensure reliability and SLA adherence.
• Optimize pipelines to reduce compute costs and improve throughput.
• Migrate legacy ETL/ELT to Databricks and support onboarding of new customers.
• Design high-performance pipelines ingesting ERP/CRM data at global scale.
• Enforce data governance, security, and observability across environments.
• Collaborate with Data Science, Product, and Infrastructure teams on end-to-end delivery.

Skills

PySpark

SQL

Python

Databricks

Apache Spark

PostgreSQL

ETL tooling

Data governance

Tools

Delta Lake

SSIS

Informatica

Feast

Job description

Intetics Inc. is seeking a Senior Data Engineer to join the team in a full-time role in the United States. You will own Databricks pipelines, drive reliability, cost efficiency, and platform growth while collaborating with ML engineers, product teams, and the Enterprise Architecture group.

The role emphasizes secure, scalable data flows across Azure and AWS environments. The ideal candidate has 4+ years of data engineering experience, strong PySpark/SQL/Python skills, and proficiency with Delta