• Design, develop and maintain scalable, production-grade data pipelines and build new API integrations to support growing data volume and complexity across our lending and payments products. • Build and maintain modular, tested, and well-documented data transformation models using dbt on top of Snowflake. • Lead high-impact data platform initiatives end-to-end-- from scoping and technical design through delivery, monitoring, and iteration. • Collaborate with analytics, data science, and business teams to evolve data models that power BI tools, regulatory reporting, and data-driven decision making across the organization. • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL, Snowflake, dbt, and AWS big data technologies. • Partner with Executive, Product, Risk, Finance, and Engineering stakeholders to resolve data-related technical issues and support their data infrastructure needs. • Champion data quality, governance, lineage, and cost efficiency across the data platform. • Mentor junior and mid-level data engineers through code reviews, design reviews, and knowledge sharing.

Your future role at a glance Location: Remote Department/Specialty: Clinical Quality Registry Services Schedule: Full time Salary: $26.49 - $36.93 per hour #ADSI #internalops #growth #LI-Remote Life at Ascension: Where purpose meets opportunity Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 99,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you’ll find an inclusive and supportive environment where your contributions truly matter. Benefits that help you thrive - Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA options - Financial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance - Time to recharge: pro-rated paid time off (PTO) and holidays - Career growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learning - Emotional well-being: Employee Assistance Program, counseling and peer support, spiritual care and stress management resources - Family support: parental leave, adoption assistance and family benefits - Other benefits: optional legal and pet insurance, transportation savings and more Benefit options and eligibility vary by position, scheduled hours and location. Benefits are subject to change at any time. Your recruiter will provide the most up-to-date details during the hiring process. How you’ll make an impact in this role - Screen disease indices, pathology reports, radiology reports, and other clinical documents to identify reportable cancer cases for case finding. - Perform primary data abstraction duties for oncology measures and registries while ensuring high levels of abstraction accuracy and alignment with organizational quality standards in compliance with all oncology regulatory standards. - Maintain the long-term follow up process of data collection and input for all cancer registry patients. - Collect data for National Cancer Database special studies as required. - Adhere to Oncology Abstraction Training Program requirements. What minimum requirements you’ll need Licensure / Certification / Registration: - Oncology Data Specialist credentialed from the National Cancer Registrars Association (NCRA) obtained within 36 Months (3 years) of hire date or job transfer date required. - Registrar specializing in Tumors preferred. Education: - High School diploma equivalency with 2 years of cumulative experience Currently enrolled or successful completion of a NCRA-Accredited Certificate Program OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required. Equal employment opportunity employer Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster. Fraud prevention notice Prospective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process. Our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who have completed a job application through our authorized applicant tracking system. E-Verify statement Employer participates in the Electronic Employment Verification Program. Please click here for more information.

Title : Senior Data Engineer - Tech Lead Location: Salisbury United States Job Description: Compensation: $65.00-$70.00 hourly Location: Remote Duration: Contract through December 2026 We are seeking a Senior Data Engineer / Tech Lead to support enterprise data initiatives, focusing on building and optimizing scalable data pipelines within the Azure ecosystem. This is a nearshore role requiring availability during EST business hours (8-5 or 9-6). This individual will play a key leadership role in designing, developing, and ensuring the reliability of data solutions that power business reporting and analytics. Key Responsibilities: - Lead the design and development of scalable data pipelines using Databricks and Azure services - Move and transform data from source systems into Azure Data Lake for reporting and analytics - Ensure data quality through proper unit testing and system/integration testing - Validate that all required files and transactions are accurately captured and processed - Collaborate with cross-functional teams in an Agile environment - Provide technical leadership, mentorship, and best practices to the engineering team - Work with Unity Catalog and implement/manage Delta Tables within Databricks Required Qualifications (Must-Haves) - 5+ years of Databricks experience (Certification required) - 5+ years of Azure Data Factory experience - 5+ years of strong SQL development experience - Proven experience in a Tech Lead or senior-level engineering role - Strong understanding of Agile methodologies - Excellent verbal communication skills Additional Requirements (Select Roles) - Experience with Power BI development - Ability to support performance testing and optimization of reporting solutions Preferred Experience - Strong experience with Apache Spark programming - Hands-on experience with data validation, testing frameworks, and pipeline monitoring - Familiarity with enterprise-scale data platforms and governance practices Category Code: JN008 #LI-LB1

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. DESCRIPTION: Join our innovative team as a Senior Developer and make a meaningful impact on global science and healthcare. In this role, you'll design and develop sophisticated software solutions that contribute to improving health and environmental outcomes. You'll work with cutting-edge technologies across cloud platforms, data integration, AI and enterprise systems to deliver robust applications that power our essential operations. Working in an agile environment, you'll collaborate with cross-functional teams to architect, implement and optimize solutions across various platforms including AWS, Azure, ServiceNow, and enterprise systems. You'll have the opportunity to drive technical innovation while supporting the growth of other developers and establishing best practices for software development excellence. Take ownership of the full software development lifecycle – from gathering requirements and designing solutions to deployment and continuous improvement. Whether developing cloud applications, creating data pipelines, or building AI-powered features, you'll help shape the future of scientific technology while growing your career in serving science. REQUIREMENTS: - Proven experience (5+ years) in data engineering with a strong understanding of modern data architecture, pipelines, and operations. - 5 years of demonstrated expertise in Databricks and Spark, Python, Apache, SQL including pipeline creation, automation, and monitoring - 5 years or more hands-on experience crafting and administrating relational database solutions, including AWS Delta Lake, Oracle, and AWS Redshift - 5 years or more experience handling and managing AWS products, including Spark, Glue, Kafka, Elastic Search, Lambda, S3, Redshift, and others - Strong problem-solving skills with debugging, performance tuning, and AI/ML model deployment in cloud environments - Prior experience with tools like Power BI, Cognos, SQL Server, and Oracle is a strong plus - Deep understanding of data modeling, metadata management, and data governance frameworks - Experience building, scheduling, and monitoring data workflows using Apache Airflow - 5 years of solid experience in DevOps/DataOps or equivalent roles, version control platforms (such as GitHub), and continuous integration and delivery pipelines - Demonstrated experience in leading engineering projects and managing project lifecycles - A self-starter with the drive and ability to deliver complex solutions rapidly - Communicate effectively with technical and non-technical personnel in oral and written form - Ensure stable and timely data pipelines that support period-end and quarter-end financial close processes, enabling accurate reporting and reconciliations - Monitor, solve, and optimize finance workflows during close cycles to guarantee data completeness, performance, and SLA compliance Non-Technical Qualifications: - Effective leadership abilities to build technical choices and steer teams towards data-driven enterprise solutions - Outstanding interpersonal skills to translate sophisticated technical and AI concepts into business-aligned solutions - Demonstrable ability to collaborate with team members across IT, business, and AI/analytics departments - Passion for continuous learning, innovation, and staying ahead of evolving cloud, AI, and data technologies