Overview
On Site
$100,000 - $120,000
Full Time
Skills
ELT
Extract
Transform
Load
Data Modeling
Data Quality
Data Visualization
Data Warehouse
Apache Spark
Business Intelligence
Cloud Computing
Collaboration
Dashboard
Amazon Redshift
Amazon Web Services
Analytics
Apache Airflow
Apache Kafka
KPI
Management
Microsoft Azure
Microsoft Power BI
Orchestration
Performance Metrics
A/B Testing
Documentation
Google Cloud Platform
Grafana
Instrumentation
Java
Python
Reporting
SQL
Scala
Snow Flake Schema
Streaming
Tableau
Warehouse
Job Details
Role: Data Engineer
Work location: Irvine, CA /San Antonio, TX Job Description:
Must Have Technical/Functional Skills
- Proficiency in SQL and at least one programming language (Python, Scala, or Java).
- Strong knowledge of data Modeling techniques (dimensional, star/snowflake schema).
- Experience with data orchestration tools (e.g., Apache Airflow, Prefect).
- Hands-on with cloud data platforms: AWS, Google Cloud Platform, or Azure.
- Familiarity with metrics instrumentation and monitoring tools like Prometheus, Grafana, or Datadog.
- Understanding of BI tools (Tableau, Looker, Power BI) and data visualization best practices
Roles & Responsibilities
- Build and maintain scalable ETL/ELT pipelines for ingesting data from multiple sources into data warehouses and lakes.
- Develop and manage data models and metric definitions to support dashboards and reporting.
- Collaborate with product and analytics teams to define KPIs and performance metrics.
- Optimize query performance and warehouse costs across systems like BigQuery, Snowflake, or Redshift.
- Monitor data quality and implement validation checks to ensure accuracy of business-critical metrics.
- Create a data catalog and documentation to enable data discoverability and governance.
- Implement alerting and monitoring for pipeline health and metric anomalies.
- Experience with streaming data (Kafka, Spark Streaming).
- Exposure to A/B testing platforms and product analytics tools.
- Familiarity with data quality frameworks (Great Expectations, DBT tests).
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.