Data Science & Research Engineer

Global Technical Talent is a minority-owned staffing firm specializing in connecting talent with leading companies. They are seeking a Senior Data Science & Research Engineer to build and enhance Signal1 integration data products and analytics assets, focusing on development and validation for controlled deployment.

Responsibilities:

• Design and implement net-new or significantly enhanced DBT models, curated data marts, and governed tables/views supporting Signal1 onboarding and enterprise analytics consumption
• Develop transformations and data products on Databricks (notebooks/jobs, Delta patterns) as part of a defined build scope
• Build Power BI datasets/semantic models and dashboards tied to approved deliverables; implement refresh, row-level security, and performance best practices
• Partner directly with Signal1 to align candidate models for ingestion (inputs/outputs, metadata, versioning, and governance requirements)
• Configure and validate Signal1 monitoring for onboarded models (monitor definitions, thresholds, alerting hooks, and initial baselines); support initial monitoring sign-off
• Define and validate business metrics and reconciliation checks; retain initial testing evidence and sign-off for releases
• Author data contracts, lineage, and documentation (definitions, ownership, SLAs) required for governed deployment and reuse
• Partner with Data Science, Product, and platform owners to align data products to downstream monitoring, governance, and stakeholder needs
• Develop and validate SQL-based performance metrics and supporting logic as part of initial delivery and acceptance testing
• Create data contracts and documentation (lineage notes, definitions, quality checks) required for governed deployment
• Partner with Data Science and platform owners to integrate ingestion assets with downstream monitoring/governance workflows
• Support initial release readiness by producing validation queries and evidence that ingestion outputs meet requirements

Requirements:

• 5 years of experience as a BI Developer / Analytics Engineer / Data Engineer delivering production reporting and curated datasets
• Advanced SQL skills (complex transformations, performance tuning, reconciliation)
• Hands-on experience with DBT (models, tests, documentation) and building governed transformation layers
• Hands-on experience building in Databricks (notebooks/jobs; Lakehouse concepts such as Delta)
• Hands-on experience with Power BI (semantic models/datasets, DAX fundamentals, dashboard development, refresh and security patterns)
• Experience with version control and code review practices; ability to produce clear technical documentation
• Strong SQL skills; ability to create reusable, well-documented transformation logic
• Experience defining metric layers/semantic models and governed KPI catalogs
• Experience supporting AI/ML data products (feature stores, model monitoring inputs) or analytics governance programs
• Familiarity with data quality frameworks and operationalizing acceptance criteria
• Python experience for data tooling/automation