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Snowflake Lead Data Engineering

Siri InfoSolutions Inc
Dallas, TX, United States
24 days ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$120,000.0 - $175,000.0
Working hours
Regular working hours
Job source
www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Airflow Cloud Computing Continuous Integration Information Engineering Data Governance Data Masking Data Transformation IBM DB2 Python (Programming Language) Mainframes Metadata
+14 more
Microsoft SQL Server Oracle (Applications) Performance Tuning Role-Based Access Control Virtual Storage Access Methods Data Ingestion Sql Optimization Snowflake Gitlab Pyspark Deployment Automation Qlikview Database Replication Data Pipelines

Requirements

  • hands-on experience in Data Engineering.
  • Strong expertise in Snowflake, Qlik Replicate, DBT Cloud, Astronomer Airflow, Python, and PySpark.
  • Experience designing and building scalable data pipelines, CDC, and database replication.
  • Hands-on experience with Snowpipe, Tasks, Streams, Dynamic Tables, advanced SQL, and schema evolution.
  • Expertise in file/API ingestion, metadata-driven frameworks, and data transformation.
  • Strong knowledge of Snowflake Data Masking, RBAC, data governance, and Protegrity/tokenization.
  • Experience with GitLab, CI/CD, monitoring, performance tuning, and DevOps automation.
  • Knowledge of Oracle, SQL Server, DB2, and Mainframe VSAM data ingestion is preferred.

Strong analytical, troubleshooting, and communication skills

Benefits & conditions

  • $35.00-50.00 per hour

Apply for this position

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

Apply on www.careerjet.com
Prepare application

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 · World Congress 2026 Europe

6:14 min

Structuring CI/CD pipelines with integrated security and quality checks

Christoph Ruggenthaler · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:54 min

Implementing geographic salary tiers for compensation equity and fairness

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

6:14 min

Modernizing deployment pipelines for embedded hardware devices

Chris Heilmann +2 · LIVE

Videos

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

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

Sandhya Menon

Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization thumbnail
45:58
LIVE • almost 5 years ago

Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization

Andreas Christian

WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More thumbnail
59:42
LIVE • 7 months ago

WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More

Chris Heilmann, Daniel Cranney, Colleen Lake

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

Enjoying SQL data pipelines with dbt

Matthias Niehoff

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment thumbnail
25:41
World Congress 2024 • about 2 years ago

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment

Joy

Enabling automated 1-click customer deployments with built-in quality and security thumbnail
44:40
LIVE • almost 6 years ago

Enabling automated 1-click customer deployments with built-in quality and security

Christoph Ruggenthaler

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