Senior Data Engineer - Health Data Intelligence at Oracle in Boise, Idaho, United States Job Description Job Description At Oracle Health Data Intelligence (HDI), we combine the strengths of the OCI AI/ML, the leading healthcare technology platforms from Oracle Cerner, Oracle Healthcare's Product & Technology, OHDAP, Oracle Health Applications & Infrastructure and the mission of the Oracle Healthcare Global Business Unit. We are looking for multiple Data Engineers to join our team of healthcare analytics experts. The data engineers will work to create data products to meet diverse customer needs. The ideal candidate is understands the appropriate structures and data modeling techniques to ensure reporting performance objectives are met. The Data Engineer will support the broader team and provide pipelines that address various needs with minimal duplication. The successful candidate will be excited to provide an extensible data architecture that helps supports the Health Data Intelligence mission of improving care delivery and health outcomes. Oracle Health Data Intelligence organization has a rare opportunity to play a critical part in how Oracle Health impacts and disrupts the healthcare industry by transforming how healthcare and technology intersect. We are investing heavily in the healthcare industry by demonstrating our deep technical expertise to focus on making a global impact and filling a societal need which will improve the health experience for all. Values are Oracle's foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of inquisitive, motivated, and a diverse set of people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. Career Level - IC3 Responsibilities + Create and maintain data pipelines using ELT and ETL processes. + Consolidate requirements to facilitate reusable data products. + Work with product management and analysts to address performance needs. + Create informative and actionable visualizations that facilitate end user self-service analytics. + Incorporate data from multiple healthcare domains (encounters, conditions, orders, payments) to structures that support outcomes research and analysis. + Build tooling to collect and display operational metrics on pipeline throughput and success. + Support partners to deliver a consistent experience and predictable delivery. + Ensure that data privacy is maintained and all security requirements are addressed. + Continually strive to improve functionality and look for optimizations. + Highly driven and motivated to ensure customer success. Core qualifications: + Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity Oracle database. + Experience building and optimizing data architectures and data sets. + Experience with data visualization software - OAC, Tableau, PowerBI, Qlik, Looker. + Experience with data-oriented scripting languages: Python, R, Scala, etc. + We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Nice to have: + Understanding of Healthcare data domains - Claims, EHR, PBM. + Build processes supporting data transformation, data structures, metadata, dependency and workload management. + Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement. + Experience supporting and working with multi-functional teams in a dynamic environment. + Comfortable working in a structured SDLC environment (Agile, Waterfall). + Source control systems, issue tracking, development critical metrics. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status or any other characteristic protected by law. #LI-SUPPORT Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range: from $74,800 to $178,200 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. About Us As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the To view full details and how to apply, please login or create a Job Seeker account

Data Engineer (Fully Remote) at Lincoln Financial Group in Boise, Idaho, United States Job Description Alternate Locations: Work from Home Work Arrangement: Hybrid/Flexible : Work at home and use the office as appropriate for in-person collaboration. Relocation assistance: is not available for this opportunity. Requisition #: 72723 The Role at a Glance We are excited to bring on an Data Engineer to our Workplace Solutions Cloud Data team within Lincoln's Information Technology and Workplace Cloud & Data organization. This position will provide subject matter expertise on complex projects/initiatives related to the assigned area(s) of application development responsibility. The role will develop innovative complex business solutions by creating new applications, modifying existing applications and providing post production support while following the system development life cycle process. What you'll be doing + Analyzes, designs, codes, debugs, integrates, and tests complex software application solutions for systems + Serves as a technical expert. + Provides input on the development of project plans, test plans and implementation plans including determining estimates on time frames, needed resources and budgets + Maintains knowledge on current and emerging developments/trends for assigned area(s) of responsibility, assesses the impact, and collaborates with senior management to incorporate new trends and developments in current and future solutions + Investigates and resolves problems including providing support for production systems in a timely manner + Proactively identifies problems and presents/develops complex solutions + Ensures that system improvements are successfully implemented What we're looking for Must-haves: + Technically proficient in the following languages/frameworks, application platforms and developer tools (3+ years of experience): + Amazon Web Services (Glue, Lambda, RDS, S3, CloudFormation, RedShift, StepFunctions) + SQL + Python (3 years) + PySpark (2 years) Nice-to-haves: + Technically proficient in the following languages/frameworks, application platforms and developer tools: + Informatica + AutoSys + Tableau + Jupyter / Zeppelin Notebook #DICE What's it like to work here? At Lincoln Financial Group, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values o To view full details and how to apply, please login or create a Job Seeker account

Data Engineer / Machine Learning Developer at Micron Technology, Inc. in Boise, Idaho, United States Job Description Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Big Data Engineer at Micron Technology Inc., you will be a key member of a multi-functional team responsible for developing and growing Micron's methods and systems for extracting new insight for our expanding data streams. You will be collaborating with data scientists, engineers, technicians and data mining teams to design and implement systems to extract data from Micron's business systems, transforming it into an actionable format, and as needed, creating dynamic presentation layers for use by high-level engineers and managers throughout the company. You will be creating new solutions, as well as, supporting, configuring, and improving existing solutions. Broad knowledge and experience in: + Understanding of Big Data Engineering/processing, Business Intelligence and Advanced analytics + Developing ETL/ELT processes + Knowledge in databases and Data warehouse modeling + Knowledge in Cloud based data engineering and Machine Learning Models + Knowledge in building APIs for application integration + Experience with various frameworks and processes, such as Agile + Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical Data Model + Work with Data Scientists to implement strategies for cleaning and preparing data for analysis, to develop data imputation algorithms, and optimize performance of big data and machine learning systems Above average skills in: + Big Data Engineering and Processing using Snowflake, GCP, or other cloud databases. + Develop ELT processing using Ni-Fi + Strong background on SQL and databases + Programming Skills in Python and Streamlit + Data Analysis and Validation skills + Data Visualization experience using Power BI or similar tools. Demonstrated ability to: + Work in a dynamic, fast-paced, work environment + Self-motivated with the ability to work under minimal direction + To adapt to new technologies and learn quickly + A passion for data and information with strong analytical, problem solving, and organizational skills + Work in multi-functional groups, with diverse interests and requirements, t To view full details and how to apply, please login or create a Job Seeker account

Data Engineer Idaho State Job Bank Jobs

Senior Data Engineer Health Data Intelligence
September 5, 2024

Data Engineer Fully Remote
August 24, 2024

Data Engineer Machine Learning Developer
August 24, 2024

Data Engineer Fully Remote
August 19, 2024

Quick filters

Top companies

Data Engineer Idaho State Job Bank Jobs

Senior Data Engineer Health Data IntelligenceSeptember 5, 2024

Data Engineer Fully RemoteAugust 24, 2024

Data Engineer Machine Learning DeveloperAugust 24, 2024