Vaniam Group · 4 hours ago
Independent Contractor, Data Engineer, Business Operations
United States
Contract
Remote
Entry, Mid Level
2+ years expVaniam Group is seeking a hands-on Data Engineer to partner with Business Operations in building a reliable, scalable data foundation. The role involves centralizing operational data, developing automated pipelines, and laying the groundwork for advanced data use cases to enhance decision-making across the organization.
Brand MarketingConsultingOncologyProfessional Services
Hiring Manager
Alicia Kirson, PHR
Responsibilities
Stand up a scalable Databricks lakehouse to ingest, model, and serve business operations data (finance, resourcing, project delivery, CRM, marketing, and time tracking)
Design and maintain automated ELT/ETL pipelines that move data from SaaS tools, databases, and files into bronze/silver/gold layers
Build the core semantic layer (cleaned, conformed, documented tables) that powers self-serve BI and executive dashboards
Replace legacy/manual engagement and utilization reports with scheduled, monitored jobs and SLAs
Partner with Business Operations, Finance, and People Operations leaders to define source-of-truth metrics (e.g., revenue, margin, utilization, velocity, pipeline, engagement health)
Lay groundwork for AI use cases (RAG over operational data, agentic processes, querying company data) by implementing robust lineage, metadata, and access controls
Architecture & Modeling: Design lakehouse architecture, dimensional/medallion models, and data contracts across systems
Pipeline Automation: Implement CI/CD for data (branching, PRs, jobs, environments), with observability and reproducibility
Data Governance: Enforce PII/PHI handling, role-based access, auditability, and retention aligned to healthcare-adjacent standards
Enablement: Document datasets, publish a data catalog, and enable self-serve usage via BI and SQL
Reporting Modernization: Decommission manual spreadsheets and one-off extracts; consolidate to certified, scheduled outputs
AI Readiness: Capture lineage/metadata and vector-friendly document stores to support future ML and RAG initiatives
Qualification
Required
2+ years in data engineering or analytics engineering, including building production data pipelines at scale
Expert with Databricks (Delta Lake, SQL, PySpark) and cloud data platforms (AWS or Azure)
Proficient with dbt and/or Delta Live Tables; strong SQL and data modeling fundamentals
Experience orchestrating jobs (Airflow, Databricks Workflows, or equivalent)
Comfortable with PowerBI and semantic modeling for self-serve analytics
Strong stakeholder skills. Can translate business needs into reliable data products and clear SLAs
Preferred
Familiarity with data governance (RBAC/ABAC, secrets management, token-based auth) and healthcare-adjacent compliance (e.g., HIPAA concepts) is a plus
Databricks, Delta Lake, PySpark, SQL, dbt, REST/GraphQL APIs, Git/GitHub, Power BI/Tableau/Looker
Company
Vaniam Group
Vaniam Group offers consulting, scientific communication, expert engagement & insights-gathering services within the oncology field.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Deanna van Gestel
CEO
Steve Tulk
Chief Technology Officer
Recent News
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