Role Description We're hiring a reliable and detail-driven Flexible Data Entry Specialist to support our health records and administrative team on your own schedule. If you're accurate, self-motivated, and looking for flexible work — this opportunity is for you. - Enter and update patient and medical data accurately into our systems - Review and verify records for completeness, accuracy, and consistency - Organize and manage digital files and health records databases - Cross-check source documents to ensure data integrity - Communicate with internal teams to resolve any data discrepancies - Meet assigned data entry targets within flexible deadlines - Handle all patient information with strict confidentiality per HIPAA guidelines Benefits - Competitive pay - Flexible scheduling — work on your own time - Health, dental & vision benefits (full-time employees) - Paid time off & paid holidays - No micromanagement — results-driven environment - Growth opportunities within ADF Medical Services Company Description

• Architect and manage data pipelines and infrastructure for GTM systems, leveraging BigQuery, Clay, ZoomInfo, as well as cloud storage and ETL frameworks. • Develop, test, and maintain highly available scripts and microservices (Python, JavaScript/Node.js) to orchestrate data acquisition and processing workflows. • Design and manage a unified GTM data lake, merging raw and enriched datasets into a single source of truth for segmentation, ICP scoring, and territory assignments. • Incorporate LLM-based enrichment pipelines to intelligently augment account/contact metadata and drive predictive targeting. • Build and maintain batch & streaming ingestion pipelines for GTM data using Apache Beam, Kafka, or Pub/Sub, with Airflow orchestration. • Develop semantic layers and star/snowflake schemas for GTM analytics in dbt, ensuring BI tools query from pre-aggregated, materialized datasets. • Partner closely with RevOps, Enablement, and Sales Leadership to improve seller workflows, define KPIs, and ensure data consistency across tools. • Proactively identify areas for automation and workflow efficiency; build scalable solutions for repetitive GTM processes. • Design and maintain high-cardinality indexing strategies for real-time ICP scoring and territory assignment.

• Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation • Work with Architects, Technical Leads and Business Teams and contributes to the development of technical designs • Secure data migrations & transformations to/from clients, customers, and vendors • Provides technical database consultation on application development, global infrastructure, and other database administration efforts related to specific DBMS • Conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows • Migrate current ETL and SSIS packages to Synapse

• Your team will develop datasets that enable data visualization, machine learning and data driven decision making across client product line • Working with structured and unstructured datasets and automating data pipelines to ingest, analyze, validate, normalize and clean data in a hybrid multi-cloud environment • Building data ingestion pipelines from multiple data sources using Data Bricks and Apache Spark • Partnering with analysts, solution architects, modelers and developers to build data product and data pipelines. • Providing technical and thought leadership