Sr. Data Engineer - PH
RemotePhilippines
Job Summary
Stand up and operate per-client data ingestion via ODBC, API, and file sources into the warehouse ELT layer. Run rigorous row-count and parity checks to verify raw landings against client source systems. Own end-to-end pipeline operations, diagnosing freshness issues, failure alerts, and infrastructure costs across concurrent clients. Build isolated, three-layer dbt projects and construct robust fact and baseline models that reproduce client source-of-truth numbers. Translate discovery conversations into metric definitions within the semantic layer and queryable business marts. Apply right-size engineering rigor for a startup environment while partnering with platform engineering. Sit directly with client operators to pull domain logic and uncover system patterns. Ensure all ongoing data operations capture structured traces that feed cross-client intelligence layers. This role balances 70% hands-on building, 25% client domain discovery, and 5% collaborator engineering practices. Candidates must have 7+ years of data engineering experience with deep cloud warehouse expertise (BigQuery preferred) and dbt Core capabilities. The position is remote, requiring US Pacific timezone alignment and a 90-day probationary period.
Required Qualifications
- 7+ years of experience in data engineering or analytics engineering, with a proven history of delivering trusted data end-to-end
- Experience in at least 2 of these industries: Sales, Marketing, Finance & Finance related, Media
- Deep, hands-on production ownership of cloud data warehouses, focusing heavily on query optimization, cost strategy, partitioning, clustering, and dataset architecture
- Google BigQuery strongly preferred (Snowflake, Redshift, or equivalent is acceptable)
- Expert-level capabilities with dbt Core, building production projects from scratch, managing layers, and setting up automated testing frameworks
- Strong dimensional modeling foundations, including Kimball methodologies, conformed dimensions, and canonical entity design
- Proven capabilities integrating and unifying data from complex systems such as ERP (NetSuite, SAP), CRM (Salesforce, HubSpot), and HRIS (ADP)
- Ability to confidently lead discovery workshops with non-technical executive stakeholders, controllers, and operational leads
- Track record of shipping right-sized, trustworthy data outcomes under fast-paced startup or multi-client consulting settings
- Experience operating within capable teams utilizing modern Git practices, branching, code reviews, and keyless production deployments via CI
- Motivation to remain a hands-on builder in dbt and BigQuery daily, supported by AI agent tooling rather than transitioning into people management
- Capability to easily wear the analyst hat, extracting business needs, reverse-engineering domain models, and reconciling numbers against source-of-truth reports
- Strong written and verbal English communication skills
- Fully functional and up-to-date computer with which to perform duties
- Willingness to install next generation end point protection on the computer
- Current resident of the Philippines and ability to perform work from there
- Willingness to work within US Pacific timezone (8am - 5pm PST, 12AM - 9AM Manila time) or during client hours as required
- Willingness to undergo a 90-days probationary period upon initial hire
Desired Qualifications
- Google BigQuery strongly preferred (Snowflake, Redshift, or equivalent is acceptable)
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