Remote Data Entry Specialist ADF Medical Services Inc. We're hiring a detail-oriented Remote Data Entry Specialist to help keep our medical records and patient data accurate and up to date. If you're organized, fast, and reliable — we want you on our team. Role: Remote Data Entry Specialist Department: Health Records / Administrative Services Location: Fully Remote Type: Full-Time / Part-Time What You'll Do: - Accurately enter and update patient and medical data into our systems - Review and verify records for completeness and accuracy - Maintain confidentiality of all patient information per HIPAA guidelines - Organize and manage digital files and databases - Communicate with internal teams to resolve data discrepancies - Meet daily and weekly data entry targets and deadlines What We're Looking For: - 1+ year of data entry or administrative experience - Fast and accurate typing skills (45+ WPM preferred) - Strong attention to detail and organizational skills - Proficiency in MS Office, Google Sheets, or similar tools - Reliable internet connection and quiet home workspace - Experience in a medical or healthcare setting is a plus What We Offer: - Competitive pay - Health, dental & vision benefits (full-time employees) - Paid time off & paid holidays - Flexible scheduling options - Growth opportunities within ADF Medical Services

• Design and implement data ingestion and transformation pipelines (batch and near-real-time) using PySpark/SparkSQL on Databricks. • Own data pipelines end-to-end in production: freshness, correctness, availability, and SLA adherence. • Build and maintain Delta Lake tables following medallion architecture patterns (bronze/silver/gold). • Design and optimize Airflow DAGs (MWAA) for complex orchestration scenarios. • Implement and maintain data quality frameworks (Great Expectations or equivalent) as integrated pipeline gates. • Write advanced SQL for data modeling, transformation, and performance optimization. • Conduct thorough code reviews. • Mentor Analyst-level engineers through pairing and design guidance. • Investigate, diagnose, and resolve data quality incidents and pipeline failures independently. • Collaborate with Analytics, BI, and Product teams to design consumer-friendly datasets. • Contribute to CI/CD, testing standards, and data governance practices.

At Duke Health, we're driven by a commitment to compassionate care that changes the lives of patients, their loved ones, and the greater community. No matter where your talents lie, join us and discover how we can advance health together. About Duke University Hospital Pursue your passion for caring with Duke University Hospital in Durham, North Carolina, which is consistently ranked among the best in the United States. The largest of the four Duke Healthhospitals with 1062 patient beds, it features comprehensive diagnostic and therapeutic facilities, including a regional emergency/trauma center, an endo-surgery center, and more. Commitment Bonus of $7,500 (2 equal installments over 12 months - 6 month increment) Location: Duke Hospital, Duke Cancer Center Institute (Remote) Must reside in one of the following states: · Indiana, Michigan, Maine, Ohio, and New Hampshire, Arizona, Hawaii, Illinois, Montana, Colorado, Massachusetts, North Carolina, New Jersey, Pennsylvania, California, Florida, Georgia, Maryland, New York, South Carolina, Tennessee, Texas, Virginia, Washington, DC Work Hours: Standard: Monday-Friday Duties and Responsibilities of this Level All hospitals in North Carolina are legally required to provide their cancer data to the State Department of Health's Central Cancer Registry monthly. In addition, the Duke Cancer Institute is an accredited NCI- Designated Comprehensive Cancer Center Program established by the American College of Surgeons. Therefore, the Duke Cancer Institute is required to adhere to Program Standards which include uniform coding as specified in the Facility Oncology Registry Data Standards. The Oncology Data Specialists, Certified abstract a wide range of medical data from the EMR and code it in compliance with data standard sets established by the American College of Surgeons and the NC Central Cancer Registry. This includes: - Medical history physical findings, screening information, occupation and any history of a previous cancer. - Diagnostic finding types, dates, and results of procedures used to diagnose cancer, cancer identification primary site, cell type, and extent of disease. - Cancer treatment surgery, radiation therapy, chemotherapy, hormone, or immunotherapy. - Patient identification age, gender, race/ethnicity, birthplace and residence. - Outcomes of annual follow-up information regarding patient status, recurrence and treatment. - Oncology Data Specialists, Certified must maintain a thorough understanding of anatomy and physiology, medical terminology, disease processes, surgical and radiation techniques. - They must participate in continuing education programs to learn about new chemo and hormone drugs, to effectively apply ICD-1O, FORDS, AJCC, and SEER coding guidelines to inpatient and outpatient diagnoses and procedures. All coding is correlated from supporting clinical documentation in the EMR. Oncology Data Specialists, Certified also participate in the development of coding policies and procedures as identified as well as independently research and solve complex coding problems and assist with special projects as required. - Oncology Data Specialists, Certified ensure adherence to data management protocols as set forth in state and national requirements, departmental standards and guidelines set forth by the DCI Cancer Committee. Perform other related duties incidental to the work described herein. Required Qualifications at this Level Education Preferred: Associate degree in Cancer Registry Management or Health Information Management. Experience Preferred: 2 years as an Oncology Data Specialist or Cancer/Tumor Registrar in a hospital or central cancer registry. Degrees, Licensure, and/or Certification Oncology Data Specialist certification required. Knowledge, Skills, and Abilities Proficient in Facility Oncology Registry Data Standards (FORDS), ICD-1O Coding, AJCC TNM, Collaborative Staging and Surveillance, Epidemiology, End Results (SEER) staging, multiple primary and histology coding. Excellent organizational skills with good follow through, investigative/analytic skills with detail orientation. Ability to achieve productivity goals under pressure. Good verbal and written communication skills. Working knowledge of Oncology Registry software, Windows-based software and EPIC EMR. Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

We are looking for a Senior Data Engineer to own, build, and scale the data infrastructure that powers Salla’s e-commerce ecosystem. In this role, you will be a core member of the data team, responsible for ensuring our data analytics platform is high-performing, engineering-grade, and capable of handling massive datasets, including real-time event tracking and product analytics. You will be responsible for the end-to-end lifecycle of our data pipelines, from ingestion (Data Lakes, Production Databases, APIs) to transformation (dbt, ClickHouse Warehouse) and consumption (reverse ETL, secure APIs). This is a hands-on role for a technical leader who prioritizes data quality, CI/CD excellence, and infrastructure optimization. You will partner closely with application engineers, data modelers, and analysts to build a world-class Medallion architecture. This role is ideal for someone who thrives on technical challenges, values architectural integrity, and wants to build the backbone of data-driven decision-making at the top e-commerce enabler in Saudi Arabia. Responsibilities - Pipeline Engineering: Design, build, and maintain scalable ETL/ELT pipelines from diverse sources including Data Lakes, Production ClickHouse instances, flat files, and various APIs. - Infrastructure & Orchestration: Configure and optimize our Data Warehouse infrastructure (ClickHouse) and orchestration layers (Mage.ai). - Engineering Excellence: Implement and manage "engineering-grade" CI/CD workflows, conduct rigorous PR reviews, and ensure robust dependency management across the stack. - Data Modeling & Architecture: Implement Medallion architecture (Bronze/Silver/Gold) and maintain high-performance data models using dbt. - Quality & Observability: Build automated data quality monitoring and alerting; proactively escalate upstream data issues to engineering teams and keep stakeholders informed of pipeline health. - Advanced Data Flows: Develop reverse ETL (rETL) pipelines and expose secure data APIs to enable seamless data consumption across the organization. - Strategic Integration: Manage event streaming and real-time data ingestion (Kafka, CDC) to support high-volume product analytics and tracking. Nice to Have - Proficiency in Arabic. - Based in Saudi (Jeddah, Makkah). - Direct experience with Kafka or CDC (Change Data Capture) integrations. - Experience in the e-commerce domain. - API development for data distribution.