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Data Engineer with Snowflake

SRS Consulting Inc
Dallas, TX, United States
25 days ago

Role details

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

Tech stack

Airflow Github Python (Programming Language) Salesforce.Com Software Engineering SQL Databases Flask (Web Framework) Snowflake Fastapi Software Coding Restful APIs Data Pipelines
+1 more
Microservices

Job description

Develop, deploy, and manage data pipelines using Snowflake, SQL, dbt, and Airflow Build and maintain REST APIs and microservices using Python, FastAPI, and Flask (Optional) Work with Salesforce Data Cloud (admin experience preferred) Implement CI/CD pipelines for streamlined development and deployment processes Design reusable and configurable frameworks for Slack app development Collaborate cross-functionally to deliver high-quality, scalable solutions

Requirements

Strong proficiency in Python and SQL with excellent coding skills Hands-on experience with Snowflake, dbt, Airflow, and CI/CD tools Experience in REST API development and microservices architecture Knowledge of Salesforce Data Cloud is a plus Participation in coding competitions (HackerRank, LeetCode) preferred GitHub repository showcasing previous projects is a plus

Apply for this position

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

Apply on www.dice.com

Good distractions

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

Moments

Explore playlists

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · WWC 2023

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

3:33 min

Refactoring data science workflows using Rapids QDF and Pandas

Paul Graham Paul Graham · LIVE

2:40 min

Using GitHub primitives for internal documentation and corporate operations

Kyle Daigle · Coffee With Developers

1:42 min

Introduction to the fast API web framework

Sebastián Ramírez · WWC 2022

Videos

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From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
WWC Europe 2026 • about 1 month ago

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

Sandhya Menon

Intro to FastAPI thumbnail
42:19
WWC 2022 • about 4 years ago

Intro to FastAPI

Sebastián Ramírez

Innovating Developer Tools with AI: Insights from GitHub Next thumbnail
42:38
LIVE • over 1 year ago

Innovating Developer Tools with AI: Insights from GitHub Next

Krzystof Czieslak

Enjoying SQL data pipelines with dbt thumbnail
26:53
WWC 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

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

How building an industry DBMS differs from building a research one

Markus Dreseler

Building and Deploying Multi-Agent Systems with ADK and Vertex AI thumbnail
1:08:35
Europe 2026 Virtual • about 1 month ago

Building and Deploying Multi-Agent Systems with ADK and Vertex AI

Saoussen Chaabnia

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