Data Engineer

Outsourced is a leading ISO-certified offshore outsourcing company that provides dedicated remote staff to some of the world's leading international companies. Outsourced is recognized as one of the Best Places to Work and has achieved Great Place to Work Certification. We are committed to providing a positive and supportive work environment where all staff can thrive. As an Outsourced staff member, you will enjoy a fun and friendly working environment, competitive salaries, opportunities for growth and development, work-life balance, and the chance to share your passion with a team of over 1,000 talented professionals.
Location: Remote-first (U.S.). Equipment provided. Equal Opportunity Employer.
Schedule: Mon-Fri starting at 8am US Pacific Time, or 9am in any of these time zones: Mountain, Central, or Eastern.
Role Summary
Design, operate, and harden the analytics data platform that powers reporting,
attribution, and automation. Scope includes ingestion, transformation, validation, anomaly detection, and dependable delivery of modeled tables to Snowflake for R&I dashboards and Data Science modeling. You maintain reliability metrics and standards that minimize manual toil. What you'll deliver (outcomes).
Pipeline uptime and data accuracy.
Standardized intake and schemas that reduce ETL complexity and accelerate
onboarding.
Automated anomaly detection and near real-time error dashboards.
Documentation that provides clarity and risk mitigation.
Responsibilities
Build and operate ETL/ELT workflows and orchestration; implement data quality checks, alerts, and reconciliations.
Publish validated reporting tables and distinct modeling tables with documented lineage and SLAs.
Lead schema standardization and intake standards; partner with Accounts/Ad
Ops during onboarding.
Minimum Qualifications
2-5+ years in data/analytics engineering or warehousing with advanced SQL and Python; production ETL; Snowflake preferred.
Proven data modeling, QA/validation, and documentation discipline.
Preferred Qualifications
Marketing/performance media data; log-level joins; anomaly detection pipelines.
Tooling
Alteryx, Snowflake, SQL, Python; awareness of Tableau/Qlik needs downstream.
Microsoft 365.

Work arrangement
Yes