Data Engineering Support Lead

Overview

Hybrid

$55 - $57

Contract - W2

Contract - 6 Month(s)

Skills

Snowflake

SQL Airflow

dbt

Fivetran

Python

AWS Lambda

ETL

ELT

Data Pipelines

Data Ingestion

Job Details

Job Title: Data Engineering Support Lead

Location: Charlotte, NC (Remote EST hours preferred)
Type: Contract (W2 only No benefits)
Experience Required: 12+ Years

Job Overview:

We are seeking a Data Engineering Support Lead with deep experience in modern data stack tools and ETL/ELT pipelines. The ideal candidate will have a strong background in Snowflake, SQL, Airflow, dbt, Fivetran, and AWS with hands-on troubleshooting and production support expertise.

Core Technical Skills (Required):

Snowflake: Querying, monitoring query history, task scheduling, data validation
SQL: Strong ability to write, debug, and optimize complex queries
Airflow: DAG dependencies, task retries, scheduling, manual triggers
dbt: Running models, debugging transformation errors, understanding project structure
Fivetran: Connector monitoring, log review, manual refreshes
Python: Ability to 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 data ingestion and transformation flows

Representative Support Scenarios:

Investigate Snowflake table/view refresh failures and review logs
Check and re-run Airflow DAGs or dbt models
Validate ingestion via Fivetran and confirm source loads using SQL
Review ETL/ELT job dependencies and manually trigger failed runs
Identify and resolve timing or sequencing issues in scheduled jobs

Preferred Background:

Strong analytical and troubleshooting mindset
Experience supporting data pipelines in production environments
Excellent communication and coordination skills across teams

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.