Data Engineer with Python / SQL - Onsite (Fulltime)

The Dignify Solutions, LLC

Jersey City (NJ)

On-site

USD 100,000 - 140,000

Full time

14 days+

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Job summary

A leading IT services company is seeking a Data Engineer with a strong background in Python and SQL to build and optimize ETL/ELT pipelines. The ideal candidate will have over 10 years of experience, with specific abilities in Azure cloud environments and data observability. Join us to work on innovative data solutions in a dynamic environment.

Qualifications

  • 5+ years of experience in developing production-ready data ingestion and processing pipelines.
  • Experience with ETL/ELT pipeline development using DBT and Snowflake.
  • Strong analytical skills for supporting data platform operations.

Responsibilities

  • Build ETL/ELT programs using SQL, Python, and DBT.
  • Create data ingestion and processing pipelines.
  • Implement cloud-native solutions and monitor data observability.

Skills

Python
SQL
DBT
Airflow
Azure

Job description

Data Engineer with Python / SQL - Onsite (Fulltime)

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  • A Senior Data Engineer with strong programming experience in building ETL/ELT programs using SQL, Python, and DBT.
  • 10 years of overall experience with 5+ years of experience in developing production-ready data ingestion and processing pipelines using Python and SQL.
  • 3+ years of experience in ETL/ELT pipeline development with DBT and Snowflake.
  • Strong hands-on experience with Airflow is preferable.
  • Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake.
  • Proven experience in cloud-native solutions with Azure, including DevOps CI/CD tools and containers.
  • Strong analytical skills for technical metadata, pipeline logs, and data lineage to support data platform operations.
  • Background in banking/capital markets or financial data is a plus.
  • Passionate about data observability, monitoring, and scalable data architecture.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Other
Industries
  • IT Services and IT Consulting

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