DATA Engineer with Snowflake, PySpark, SQL, Python

  • Jersey City, NJ
  • Posted 23 days ago | Updated 6 days ago

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Data Engineer
Snowflake
Python
SQL
PySpark

Job Details

Job Title: Data Engineer – Snowflake, Python, SQL, PySpark

Location: Jersey City, NJ

Job Type: Long-term Contract

 

Job Summary:
We are looking for a skilled Data Engineer with hands-on experience in Snowflake, Python, SQL, and PySpark to join our data team. You will be responsible for building and maintaining scalable data pipelines, optimizing data flow, and integrating diverse data sources into our data platforms. This role is ideal for someone passionate about data, performance tuning, and enabling data-driven decision-making across the organization.

Key Responsibilities:
Design, develop, and maintain robust and scalable data pipelines using PySpark and SQL.
Implement ETL/ELT processes to move and transform data from various sources into Snowflake.
Build and optimize data models and schemas in Snowflake for analytics and reporting use cases.
Collaborate with data analysts, data scientists, and other stakeholders to deliver clean, well-structured data.
Automate data workflows and ensure data quality, integrity, and reliability.
Monitor pipeline performance and troubleshoot issues in a timely manner.
Write reusable, testable, and efficient code in Python.
Ensure compliance with data governance and security policies.

Required Skills & Qualifications:
5+ years of experience as a Data Engineer or similar role.
Strong expertise in Snowflake data warehouse architecture and development.
Proficiency in SQL for complex queries, performance tuning, and analytics.
Experience with PySpark for distributed data processing.
Strong Python programming skills, particularly for data manipulation and automation.
Experience with cloud platforms (AWS, Google Cloud Platform, or Azure) and cloud-native data services.
Familiarity with data orchestration tools (e.g., Airflow, Prefect, DBT) is a plus.
Solid understanding of data modeling, data warehousing concepts, and data pipeline best practices.
Excellent problem-solving and communication skills.
Snowflake certification(s), Experience with version control tools like Git
Exposure to CI/CD pipelines for data engineering
Knowledge of data security and privacy best practices

 

Note: If you refer a candidate who is successfully hired with us, you’ll receive a referral bonus.

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