Snowflake Application Support Engineer L3 - Charlotte, NC or Remote - 6 Months CTH - W2/1099

Overview

Remote
$65 - $70
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

Snowflake
SQL
Airflow
DBT
Fivetran
Python
AWS Lambda
ETL
Application Support

Job Details

Snowflake Application Support Engineer L3

Location: Charlotte, NC preferred but open to remote

Assignment Type: 6 month contract-to-hire

Number of Positions: 1

** Must have experience using Snowflake as a Application Support Engineer

Application Support Engineer (L3/Lead) Remote / or Charlotte, NC-Hybrid

The L3 engineers supporting Snowflake must be able to diagnose and resolve complex data, performance, and integration issues across the platform. They should have strong experience with query optimization, warehouse management, ETL pipeline troubleshooting, access and role configuration, and cloud integrations (AWS/Azure). Proficiency in monitoring tools (e.g., Splunk, Dynatrace, etc.) and automation using SQL, Python, or shell scripting is essential. Engineers must be capable of performing root cause analysis (RCA), managing Sev-1/Sev-2 incidents, and collaborating with Data Engineering and DevOps teams to ensure platform stability, cost efficiency, and data reliability in production.

In addition to the Snowflake experience requested, The L3 Run Support (AXIOM) role requirements have been refined based on guidance from the Development Manager. This is a Run Support position that must also be able to troubleshoot data-platform workflows independently.

The role now includes the following key items to be included as below.

Core Technical Skills (required):

  • Snowflake: querying, monitoring query history, task scheduling, data validation
  • SQL: strong ability to write, debug, and optimize queries
  • Airflow: DAG dependencies, task retries, scheduling, manual triggers
  • DBT: running models, understanding project structure, debugging transformation errors
  • Fivetran: connector monitoring, log review, manual refreshes
  • Python: read/modify scripts used in ETL jobs or Lambda functions
  • AWS Lambda: review logs and execution results for event-based jobs
  • ETL/ELT: strong understanding of ingestion and transformation flows

Representative support scenarios:

  • Investigating Snowflake table/view refresh failures and reviewing logs
  • Checking and re-running Airflow DAGs or dbt models
  • Validating ingestion via Fivetran and confirming source loads with SQL
  • Reviewing ETL/ELT job dependencies and manually triggering failed runs
  • Identifying/resolving timing or sequencing issues in scheduled jobs
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.