Overview
Remote
$50 - $57
Full Time
Skills
Snowflake
SQL
Airflow:
dbt
Fivetran
Python
AWS Lambda
ETL / ELT
Job Details
Data Engineering Support Lead
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.