Data Analytics Engineer - REMOTE - USC - PST Hours

Work Authorization: USC Only

We're Hiring: Data Analytics Engineer | Remote ((PST/MST time zones) #C2C

Location: Remote – USA (PST/MST time zones)

Work Model: Hybrid for candidates local to a client's office

Contract: Through June 2027 (12–24 months, potential extension)

We are looking for an experienced Data Analytics Engineer / Data Engineering & Analytics Specialist to build and automate an end-to-end Talent Acquisition reporting solution.

This is a technical Data Engineering & BI role, NOT an operational recruiting position.

🔹 Must-Have Technical Skills:

Advanced SQL – Complex Joins, Window Functions & Query Optimization

Power BI – Dashboard Development, DAX & Semantic Modeling

Cloud Data Warehousing – Snowflake, Databricks, BigQuery or Redshift

ETL/ELT Pipeline Development & Automation

Dimensional Data Modeling – Star Schema & SCD

Python or R for Data Extraction and Transformation

API-Based Data Integration

Data Quality, Automated Refresh & Pipeline Monitoring

🔹 Key Responsibilities:

Build ETL/ELT pipelines integrating SmartRecruiters, Workday, Jira & ServiceNow.

Develop advanced SQL queries and data models.

Create Power BI dashboards for recruitment funnel, time-to-fill, offer metrics, sourcing effectiveness and recruiter productivity.

Develop DAX measures and governed semantic models.

Automate data refresh and implement data quality checks.

Collaborate with TA Leadership, HRIS, IT and Data Engineering teams.

🔹 Preferred Skills:

Snowflake, dbt, Airflow & Azure Data Factory

SmartRecruiters & Workday integrations

Workday Prism Analytics / Workday Data Cloud

Power BI Service, Gateways & Row-Level Security

HR / Talent Acquisition Analytics experience

🔹 Ideal Candidate Profile:

4+ years of Data Engineering / Analytics experience.

Strong hands-on experience across SQL, Power BI, Cloud Data Warehousing and ETL pipelines.

Experience translating business requirements into scalable reporting solutions.