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Data Engineer – Full/Part-Time at Variety | JobVerse
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Data Engineer – Full/Part-Time
Variety
Remote
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Data Engineer – Full/Part-Time
Philippines
Full Time
2 hours ago
Visa Sponsorship
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Key skills
BigQuery
ETL
SQL
dbt
Fivetran
Shopify
Performance Optimization
Communication
Collaboration
About this role
Role Overview
Ensure data pipelines run reliably and data is fresh, accurate, and available as expected.
Monitor, build, and respond to Daton pipeline notifications and alerts
Track data latency, freshness, and completeness across all source systems
Design, build, and maintain QC processors for all source data and custom reports
Monitor job execution, investigate failures, and perform root cause analysis at:
Pipeline level
QC / validation level
API / source system level
Create and enhance data pipelines, onboard new platform integrations, and implement logic changes to existing pipelines
Coordinate with source system owners and vendors when issues originate upstream
Monitor alerts from source systems and custom reports
Ensure overall data reliability through proactive monitoring and validation
Optimize query performance and warehouse costs
Maintain documentation for all logic, schema, and pipeline changes, with a continuously updated change log
Implement and maintain automated data quality checks (source + reports) to build trust and confidence in data across the organization.
Monitor and respond to data quality and test failures
Implement automated validation checks, including; null checks, duplicate detection, range & boundary checks, valid value checks, referential integrity checks
Implement business-logic validations for key KPIs
Perform daily validation of critical metrics against source UIs (Shopify, GA4, Meta, Klaviyo, Google Ads, Loop, etc.)
Ensure KPI consistency across raw, transformed, and reporting layers
Implement anomaly detection for key tables and metrics
Optimize warehouse performance and manage costs proactively to ensure sustainable data operations.
Monitor and respond to billing alerts for BigQuery, dbt, and ETL tools
Maintain cost monitoring dashboards
Implement and optimize table partitioning and clustering
Optimize incremental loads and expensive queries
Proactively flag high-cost queries via Slack
Query performance optimization (where applicable)
Proactively manage issues originating from upstream systems and maintain healthy integrations
Monitor and respond to source schema and data-type changes
Handle source delays caused by API limits, downtime, or auth failures
Coordinate with vendors and internal teams to resolve upstream issues
Assess business impact and classify incidents as P0/P1 when required
Ensure data access and handling align with regulatory requirements and security best practices.
Maintain GDPR, CCPA, and related compliance controls
Manage RBAC and column-level security in BigQuery
Ensure PII masking and access restrictions
Respond to security incidents related to data access or credentials
Maintain documentation for pipelines, tables, and business logic
Update test cases for logic or schema changes
Document incident RCA and resolutions
Maintain operational runbooks
Manage logic and schema change requests from business team
Requirements
Strong Google BigQuery expertise (SQL optimization, partitioning, clustering)
Experience with ETL tools (Daton, Fivetran, or similar)
Pipeline monitoring and alerting experience
Strong SQL for debugging and validation
E-commerce data experience (Shopify, GA, ad platforms preferred)
Experience maintaining production data systems
Strong troubleshooting and RCA skills
Clear communication with technical and non-technical stakeholders
Proactive, ownership-driven mindset
Ability to work independently in a remote setup
Strong documentation discipline
Tech Stack
BigQuery
ETL
SQL
Benefits
Flexible schedule, with preference for consistent weekly availability
Preferred availability: Singapore business hours (9:00 AM – 6:00 PM SGT) for real-time collaboration
Apply Now
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