WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Sr. Data Platform Engineer

Insight Global
Tampa, FL, United States
12 days ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
dejobs.org

Tech stack

Artificial Intelligence Amazon Web Services ARM Architecture Microsoft Azure Cloud Computing Cloud Database Information Engineering Data Governance Data Infrastructure Python (Programming Language) Machine Learning Meta-Data Management
+5 more
Performance Tuning Standard Sql Data Streaming Snowflake Apache Kafka

Requirements

  • 8+ years of Data Engineering or Cloud Data Architecture experience

  • 5+ years of hands-on Snowflake experience

  • Strong SQL and Snowflake performance tuning expertise

  • Experience with dbt and Python development

  • Cloud platform experience (AWS, Azure, or GCP)

  • Healthcare data experience (EMR, claims, provider, patient datasets)

  • Experience with Snowflake Cortex, AI, and GenAI solutions * Kafka or Kinesis streaming experience

  • Machine learning deployment experience

  • Data governance and metadata management expertise

About the company

Insight Global is seeking a Sr. Data Platform Engineer for a leading healthcare organization. This individual will architect and build modern cloud-based data platforms leveraging Snowflake, AI/GenAI technologies, and advanced analytics capabilities. The ideal candidate will have a strong blend of data engineering, cloud architecture, and AI expertise while helping the organization scale enterprise data solutions that power analytics, automation, and intelligent business decision-making.

Apply for this position

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

Apply on dejobs.org
Prepare application

Good distractions

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

Moments

Explore playlists

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

1:37 min

Introduction to Apache Kafka benchmarking and performance analysis

Kirill Kulikov · LIVE

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

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

2:14 min

Solving complex platform architecture challenges at an enterprise scale

Maria Apazoglou · Coffee With Developers

Videos

See all
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

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 2 months ago

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

Sandhya Menon

How to Benchmark Your Apache Kafka thumbnail
35:27
LIVE • almost 6 years ago

How to Benchmark Your Apache Kafka

Kirill Kulikov

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

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means thumbnail
12:42
World Congress 2026 Europe • 3 months ago

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means

Celeste Horgan

Hacking AI at the Edge of the Indian Ocean thumbnail
29:03
World Congress 2026 Europe • 3 months ago

Hacking AI at the Edge of the Indian Ocean

Anastasiia Stefanska, James Cha-Earley

Related articles

See all