Staff Data Engineer — Azure/Snowflake EL Pipelines Lead

VertMarkets, Inc.; Horsham (PA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical/vision/prescription/dental coverage

Company-paid disability insurance

401(k) with company match

Generous vacation and personal days

Company-paid life insurance

Job summary

A tech-driven data company is seeking a skilled Staff Data Engineer to lead the ingestion architecture for their data ecosystem. You will optimize data pipelines using Azure, Snowflake, and establish collaboration with the analytics team to ensure reliable data delivery. Ideal candidates have over 7 years of experience in data engineering and proficiency in Python, SQL, and Azure Data Factory. This role offers a chance to make a significant impact within a modern tech stack, driving revenue through data-driven solutions.

Qualifications

• 7+ years of professional experience in data engineering focused on high-volume production pipelines.
• Expert-level proficiency with Azure Data Factory and proficiency in Python and SQL.
• Extensive experience loading data into Snowflake, understanding cost implications.

Responsibilities

• Own the design, development, and optimization of scalable data ingestion pipelines.
• Collaborate with Analytics Engineers to ensure data structure is consumable.
• Design dependency-aware pipeline orchestrations managing the full data lifecycle.

Skills

Azure Data Factory (ADF)

Python

SQL

Salesforce integration

Data reliability

Performance optimization

Git/GitHub

Tools

Snowflake

Azure Key Vault

dbt

Job description

A tech-driven data company is seeking a skilled Staff Data Engineer to lead the ingestion architecture for their data ecosystem. You will optimize data pipelines using Azure, Snowflake, and establish collaboration with the analytics team to ensure reliable data delivery. Ideal candidates have over 7 years of experience in data engineering and proficiency in Python, SQL, and Azure Data Factory. This role offers a chance to make a significant impact within a modern tech stack, driving revenue through data-driven solutions.