Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Middle Data Engineer specialized in Azure Databricks to join our data platform team. The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence. Key responsibilities: - Design, develop, and maintain data pipelines using Azure Databricks - Build and optimize data transformations using PySpark and SQL in Databricks - Implement and maintain Lakehouse architectures using Delta Lake - Develop ETL/ELT pipelines orchestrated through Azure Data Factory - Integrate data from multiple sources into the data platform and analytical layers - Design and maintain data models and data warehouse structures for analytics - Ensure data quality, scalability, and performance of large-scale data processing pipelines - Collaborate with BI teams to support Power BI and reporting platforms - Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required - Contribute to the design of modern cloud-based data architectures Qualifications - 3+ years of experience in Data Engineering or Data Warehouse development - Strong experience with Azure Databricks - Experience developing data pipelines using PySpark and Spark SQL - Solid understanding of distributed data processing and big data concepts - Experience working with Delta Lake and Lakehouse architectures - Strong SQL skills and experience with SQL Server relational databases - Experience building data pipelines using Azure Data Factory - Experience handling large datasets and performance optimization Nice to have - Experience with Spark optimization techniques (partitioning, caching, cluster tuning) - Experience with structured streaming in Databricks - Knowledge of CI/CD pipelines for data platforms (Azure Devops) - Familiarity with Power BI - Experience in migrating from traditional ETL process to cloud architectures Additional Information We offer: - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Role Description Direct travel is on a journey of data transformation, and we are seeking a skilled and motivated Data Analytics Engineer to join our team to be a pivotal part of our history. The ideal candidate will be crucial to the design, execution and delivery of a best-in-class global analytics platform, providing data insights and global reporting for both internal stakeholders and thousands of clients globally. A successful candidate will have hands-on experience crafting embedded analytics applications, possess a background in software engineering, and understand the latest methods and techniques in provisioning key visualizations and self-service capabilities within our data products. In the role of an Analytics Engineer, a qualified candidate will work across engineering and data-related assignments, contributing to the development of analytics products and using a data-driven mindset to solve business problems across the organization. Qualifications - Bachelor’s degree in information technology, Computer Science, Data Science, or a related field or equivalent experience. - Advanced knowledge of and experience with databases of all varieties including RDBMS SQL based platforms as well as document stores. - Demonstrable experience with a programming language typically used in the field of data and analytics engineering e.g. Python, R or Scala. - Experience and understanding of web application development, front-end reactive applications such as VueJS or React as well as familiarity with middle and back-end software development methodologies. - Understanding of the software development lifecycle and SCM through Git or an alternative. - Experience with cloud providers such as Amazon AWS, Azure or GCP and associated data platforms and products they provide. - Full understanding of the data lifecycle, from pipeline development to warehouse architecture to reporting and analytics enablement. - Senior level experience with more than one cloud-based analytics platform such as Looker, Tableau or PowerBI. - Experience developing semantic models across wide-reaching data in sustainable and performant ways. - Exposure and understanding to cloud-based warehouse platforms such as Snowflake, DataBricks or Azure DataLake. - Prior experience implementing governance and compliance related frameworks to analytics data products. - Inquisitive diagnostic skills related to query and system tuning and performance. - Experience building bespoke data products from the ground up that utilize analytics and business intelligence platforms in an integration manner for visuals and core functionality. - Strong verbal and written communication skills to effectively share findings with stakeholders. - Adept at queries, report writing, and presenting findings. Requirements - Proven working experience as a data analytics engineer. - Snowflake, Looker and LookML modeling experience. Benefits - Medical, Dental, and Vision benefits. - Total Rewards Package which includes Retirement Plans, Wellness, Rewards and Recognition, Sustainability, DE&I initiatives, and Mental Health Support. Company Description Direct Travel/ATPI is one of the fastest growing Travel Management Companies (TMC) in the world. By leveraging both the expertise of its people and innovative technology solutions, Direct Travel/ATPI enables clients to derive the greatest value from their travel program in terms of superior service, progressive technologies, and significant cost savings. Direct Travel/ATPI has offices globally and is currently ranked among the top providers on Travel Weekly’s Power List. Direct Travel/ATPI is an EOE/AA/Veteran/People with Disabilities employer. If you're ready to chart a new course and advance your career with the valuable moments and travel experiences that await, we welcome you to submit your resume for consideration at Direct Travel/ATPI.

Title: Certified Oncology Data Specialist Location: Las Vegas, NV, United States Full-time • Work From Home HIMS and Health Informatics Job ID: 4468692 Hourly Wage Estimate: $23.62 - $35.44 / hour Job Description: Learn more about the benefits offered for this job. The estimate displayed represents the typical wage range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have and comparison to other employees already in this role. The typical candidate is hired below midpoint of the range. Introduction Are you passionate about the patient experience? At HCA Healthcare, we are committed to caring for patients with purpose and integrity. We care like family! Jump-start your career as a Certified Oncology Data Specialist today with Parallon. Benefits Parallon offers a total rewards package that supports the health, life, career and retirement of our colleagues. The available plans and programs include: - Comprehensive medical coverage that covers many common services at no cost or for a low copay. Plans include prescription drug and behavioral health coverage as well as free telemedicine services and free AirMed medical transportation. - Additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans (accident, critical illness, hospital indemnity), auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance and more. - Free counseling services and resources for emotional, physical and financial wellbeing - 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service) - Employee Stock Purchase Plan with 10% off HCA Healthcare stock - Family support through fertility and family building benefits with Progyny and adoption assistance. - Referral services for child, elder and pet care, home and auto repair, event planning and more - Consumer discounts through Abenity and Consumer Discounts - Retirement readiness, rollover assistance services and preferred banking partnerships - Education assistance (tuition, student loan, certification support, dependent scholarships) - Colleague recognition program - Time Away From Work Program (paid time off, paid family leave, long- and short-term disability coverage and leaves of absence) - Employee Health Assistance Fund that offers free employee-only coverage to full-time and part-time colleagues based on income. Learn more about Employee Benefits Note: Eligibility for benefits may vary by location. Come join our team as a Certified Oncology Data Specialist. We care for our community! Just last year, HCA Healthcare and our colleagues donated 13.8 million dollars to charitable organizations. Apply Today! Job Summary and Qualifications As a Certified Cancer Registrar, work from home, you will be responsible for case finding and abstraction of cancer data for HCA hospitals. In this role you will: - Completes case-finding for assigned facilities, including review of pathology reports, the disease index, suspense list in Meditech and merging appropriate cases into Metriq - Responsible for reviewing medical records to abstract information according to the standards of the American College of Surgeons (ACOS) and the appropriate State Central Cancer Registry - Performs timely abstraction of assigned cases to ensure compliance with ACOS standards, i.e. within six months of patient contact - Completes edit checks and makes appropriate changes on a timely basis - Follow ACOS and state data standards and coding instructions to abstract all reportable cases - Attend state and national educational activities as approved by Director - Submit data to the National Cancer Data Base (NCDB) in accordance with the annual Call for Data - Submit data monthly to the appropriate State Central Cancer Registry - Resolve errors resulting in the rejection of records from the NCDB and the state data systems What you will need: - Oncology Data Specialist (ODS) certification required - 1-3 years of Cancer Data Abstraction experience required - 3-5 years of Cancer Data Abstraction or Medical Records experience preferred Parallon provides full-service revenue cycle management, or total patient account resolution, for HCA Healthcare. Our services include scheduling, registration, insurance verification, hospital billing, revenue integrity, collections, payment compliance, credentialing, health information management, customer service, payroll and physician billing. We also provide full-service revenue cycle management as well as targeted solutions, such as Medicaid Eligibility, for external clients across the country. Parallon has over 17,000 colleagues, and serves close to 1,000 hospitals and 3,000 physician practices, all making an impact on patients, providers and their communities. HCA Healthcare has been recognized as one of the World's Most Ethical Companies by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated 3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses. "The great hospitals will always put the patient and the patients family first, and the really great institutions will provide care with warmth, compassion, and dignity for the individual."- Dr. Thomas Frist, Sr. HCA Healthcare Co-Founder We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

- Working with stakeholders to grow the amount and kinds of customer-defined targetings we can calculate in real-time - Develop new features for our in-house streaming key/value DBs - Improve resource utilization across all stages of our data pipelines, from validation and ingestion to storage to dynamic queries - Collaborate with developers and stakeholders to design services in order to meet product and business requirements