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Sr Data Engineer with Medallion Architecture exp & Snowpro Certification - W2

Boca Raton, FL, US • Posted 6 hours ago • Updated 4 hours ago

Contract W2

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Modeling
SQL
Data Engineering
data warehousing
snowflake
Stored Procedures
medallion architecture
ETL / ELT
Streams & Tasks
Snowflake Scripting

Summary

Role: Sr Data Engineer

Location: Boca Raton, FL (Hybrid)

Job Type: W2 Contract

Experience: 10+ years

MUST:
Look for SnowPro Certified Candidates.
Medallion Architecture experience is mandatory.

Role Summary:
We are looking for a Senior Data Engineer with strong hands-on expertise in Snowflake, SQL, ETL/ELT, Data Modelling, Database Design, and Medallion Architecture. The candidate should be experienced in building scalable data pipelines and working with cloud-based data platforms.

Key Responsibilities:

Design and develop Snowflake-based data solutions and ETL/ELT pipelines.
Implement Medallion Architecture (Bronze, Silver, Gold).
Develop complex SQL, Snowflake Scripting, Stored Procedures, Streams & Tasks.
Implement CDC and incremental data processing.
Design data models, schemas, fact/dimension tables, and SCD Type 1/2.
Perform SQL/Snowflake performance tuning and production troubleshooting.
Work with Snowpipe, Dynamic Tables, Stages, Views, and Materialized Views.
Develop/support Streamlit applications with Snowflake.
Work with Python/Snowpark and Azure Logic Apps.
Implement data quality, auditing, reconciliation, security, and RBAC.
Participate in code reviews and mentor junior engineers.

Must-Have Skills:

Snowflake Expert
SQL Expert
ETL / ELT
Medallion Architecture
Data Modeling & Database Design
Snowflake Scripting
Streams & Tasks
Stored Procedures
Data Warehousing

Good to Have:

Streamlit
Python / Snowpark
Snowpipe / Dynamic Tables
Azure Logic Apps
Azure Data Services
REST APIs / JSON
Git / CI/CD
Data Quality & Governance

Experience:

8+ years in Data Engineering / Data Warehousing.
4+ years of Snowflake experience preferred.
Strong experience in enterprise data pipelines and cloud data platforms.
Strong production support and performance-tuning experience.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91091604
Position Id: 2026-4813
Posted 6 hours ago

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