Data Engineers

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Advanced SQL
Python
Airflow

Job Details

Role: Data Engineers
Location: Bay Area (Day -1 Onsite)
Contract: 6-9+ months.
Experience: 7+ years.

Job Description:

Core Technical Skills:
-Advanced SQL (Snowflake, Databricks): Table management, deprecation, data querying
-Python: Scripting for automation, ETL workflows, alert tooling
-Airflow: DAG creation, dependency management, alert tuning
-Version Control & CI/CD: Git, deployment pipelines, code reviews
Monitoring & Observability:
-Monte Carlo (MC): Alert configuration, suppression, false positive reduction
-Observability Tooling: Integration with Airflow, Datadog, or similar tools
-Root Cause Analysis: Debugging alert triggers and noisy pipelines
Platform Migration & Pipeline Stability:
-Legacy to Modern Platform Migration: (e.g., RDE Alchemist or Data Infra)
-Upstream Dependency Debugging: Identify and resolve R+ or external data source failures
-Pipeline Ownership Handoff: Documentation, transfer of Gold and People Analytics pipelines
Process & Documentation:
-Technical Documentation: Wikis, runbooks, alert resolution docs
-Cross-team Collaboration: Working with FDE, Data Infra, Storefront, CX, GCO
-Data Governance Awareness: Ownership models, process compliance, alert accountability
Data Infrastructure Hygiene:
-Table Deprecation & Cleanup: Snowflake, Salesforce, unused pipelines
-Alert Consolidation: Eliminate redundant monitors and streamline alerting logic

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.