- UpvoteDownvoteShare Job
- Suggest Revision
3+ Years of experience in coding in Big data environment, Cloud data platforms such as Cloudera Hadoop, AWS or Microsoft Azure 3 + Years of Experience in Scripting language such as Python/R and must have knowledge to schedule data scripts to automate data pipeline creation.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
DE constructing feature engineering and cleansing data using Python, Hive, or Spark; performing data retention and application integration, using advanced transformation techniques (from SQL, Hive, Informatica, or NiFi) and Big Data tools (Spark, Hadoop, or Snowflake) for legal, compliance, risk, and security applications.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Managed Azure cloud infrastructure, including Databricks for big data and AI/ML in corporate finance. As a Sr. Lead CloudOps Engineer on Stryker’s Finance Data Science & Engineering team, you are set to lead at the convergence of cloud computing, AI, and financial analytics.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Advanced knowledge and experience with big data ecosystems, relational databases, SQL, and business intelligence tools (Tableau or Power BI, etc.) Experience developing analytic techniques such as forecasting, predictive modeling, segmentation analysis, simulation modeling, and data mining.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Mr. Cooper Group team member, you play a big role in making that dream possible. Roles & Responsibilities:The Underwriter III is responsible for analyzing highly complex financial and credit information according to internal underwriting standards, investor guidelines, and federal regulationsUnderwrites a wide variety of product and loan types with a higher aggregate credit exposure including underwriting exceptions not determined through DUCompile, analyze, and document loan data and credit risk, borrower and property information.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Understanding and capabilities with Python, R scripting and other advanced data coding languages. Experience with advanced ETL tools including Tableau Data Prep, PowerQuery, SQL Server Reporting Services and others.
$70,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
All pharmacies carve out a medical plan – your health plan is not paying for those pharmacy claims – CVS Caremark, Optum, and Client are big 3. Right now HM works for finance VP that is where data and reporting and PBM resides.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We were included in the top 10 of Selling Power magazine's "Best Companies to Sell For" list and recognized on Forbes magazine's "Platinum 400 - Best Big Companies" list. Cutting edge sales tools, including a data management device with CRM software.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Ll work on everything from customer-facing web applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. You.
RemoteExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks. Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
This Data Science Analyst will be a part of Big Data initiatives that will include data mining, data mapping, maintaining quality assurance around their raw data, and setting governance around processes moving forward.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Proficient in creating and optimizing big data correlations using Splunk search language (SPL). We are uniquely positioned at the center of global trading activity, processing over 100 million financial transactions every day, pioneering industry-wide, post-trade solutions and maintaining multiple data and operating centers worldwide.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Apply a Kaizen (continuous improvement) mindset in day-to-day tasks and projects - big or small. Prepare and submit financial change and master data requests, and liaison with other departments for processing of any adjustments.
ExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Position Summary: PACCAR Technical Center Advanced Analytics is looking for a Data Engineer interested in leveraging big dat technologies to gain insights into our customer experience. Experience data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.
Full-timeExpandApply NowActive JobUpdated 1 month ago
data big jobs in Flower Mound, TX
FEATURED BLOG POSTS
Making Hybrid Work More Efficient
Covid was a catalyst for change in the work environment. Keeping people safe and helathy was the initial goal for employers, but the unintended result was the considerable demand in remote work. Now, onsite work has been dramatically altered to remote work, which is now transforming into a combination of the two: hybrid work.
How Can HR Technology Help Retain Employees?
Human resources' rapid adoption of technology has led to new ways of streamlining human capital management. Based on the IEE Global Study, these technologies changed how HR handled recruitment and retention in 2022. This includes tech like
Why is Time Management Important? 10 Crucial Importances of Time Management
We’ve all been there before. What starts as a relaxing evening scroll quickly becomes a full-blown binge. You blink, and it’s midnight - throwing off your entire next day before it even starts. And at its worst, this indulgence might leave you feeling behind on things you planned to finish that night. This is why time management is important.
Minimizing Candidate Renegs During the Hiring and Onboarding Process
Candidates reneging on job offers or during the onboarding process can be a frustrating experience for any recruiter. In a talent-driven job market, it’s common for candidates to have more than one job offer to consider. It becomes a race against time to see which organization can offer the best career experience, compensation, and circumstances that secure the right employees.
10 Reasons to Be on Time at Work
Being punctual at work may not be something you’ve given much thought to, but it’s the foundation for building a successful career. All of your technical or job-specific skills will be in vain if your peers and superiors can’t trust you to show up on time and do the work. In fact, Simon Sinek once famously said that
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!