WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Snowflake Data Engineer

Nmk Global Inc.
United States
4 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Amazon Web Services Microsoft Azure Clinical Data Repository Cloud Computing Data Validation Information Engineering Extract Transform Load (ETL) Data Transformation Data Warehousing Python (Programming Language) Cloud Services SQL Stored Procedures
+9 more
SQL Databases Data Processing Freeform SQL Google Cloud Azure Data Factory Sql Optimization Snowflake Pyspark Data Pipelines

Job description

We are looking for a Snowflake Data Engineer with strong experience in data engineering, ETL development, and cloud data platforms. The candidate should have hands-on experience with Snowflake, SQL, Python, and ETL tools., * Design, develop, and maintain data pipelines using Snowflake.

  • Develop complex SQL queries, stored procedures, and data transformations.
  • Build and maintain ETL/ELT pipelines using tools such as Informatica, Azure Data Factory, or similar.
  • Use Python/PySpark for data processing and automation.
  • Perform data validation, quality checks, and troubleshooting.
  • Work with large healthcare datasets and integrate data from multiple sources.
  • Optimize Snowflake queries and data models for performance.
  • Collaborate with business analysts, developers, and data teams.

Requirements

  • 8+ years of experience in Data Engineering
  • Strong Snowflake experience
  • Advanced SQL
  • Python / PySpark
  • ETL/ELT development
  • Cloud experience - Azure/AWS/Google Cloud Platform
  • Data warehousing and data modeling
  • Strong communication and problem-solving skills

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 3 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

The Cloud is Calling: Answer with In-Demand Skills thumbnail
21:23
World Congress 2024 • about 2 years ago

The Cloud is Calling: Answer with In-Demand Skills

Asrar

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • almost 6 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

Data Science in Retail thumbnail
58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

How building an industry DBMS differs from building a research one thumbnail
30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

Related articles

See all