div>Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career.
Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn<https://www.linkedin.com/company/lennar/> for the latest job opportunities.
You will partner closely with senior leadership, architects, data science, analytics, IT, and business stakeholders to design resilient, scalable, and trusted data systems that support real-time decisioning, advanced analytics, and AI/ML applications. THE DAY-TO-DAY: Define the multi-year architectural vision for MGM's Lakehouse platform, including compute, storage, orchestration, semantic layers, governance, and reliability.
p>• Design and implement thorough data architecture strategies • Lead large-scale projects and innovate processes • Maintain operational excellence and client interactions • Develop and document data models and data flow diagrams • Adhere to data governance and security policies • Collaborate with business stakeholders to translate data requirements into technical solutions • Drive project success through strategic advising and problem-solving • Foster a diverse and inclusive team environment. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Boca Raton, Florida30+ days ago
LLS-C_NAMER_All_US_Search_Google-Brand_DR-PRS_Broad_LIL-HeadTerm-Alpha_All_English_Core-MKAG_pkw.linkedin%20learning_pmt.e_pcrid.343926466304_pdv.c_plc._trgid.kwd-47311766595_net.g_learning&mcid=6626616148786065462&cname=&camid=664286762&asid=37446315521&targetid=kwd-47311766595&crid=343926466304&placement=&dev=c&ends=1&gclid=Cj0KCQiAmL-ABhDFARIsAKywVaehuw9WLkfw1_Fpjj2ausilUwEui5-YCog3rFfTnqug4lO45n9Wm7waApJ9EALw_wcB&gclsrc=aw.ds" rel="nofollow noopener noreferrer" target="_blank">LinkedIn Learning, Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles, Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters. Generous Paid Time Off and Paid Parental Leave programs, Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs, Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed, Professional development opportunities, including tuition reimbursement programs and unlimited access to
Boca Raton, Florida30+ days ago
LLS-C_NAMER_All_US_Search_Google-Brand_DR-PRS_Broad_LIL-HeadTerm-Alpha_All_English_Core-MKAG_pkw.linkedin%20learning_pmt.e_pcrid.343926466304_pdv.c_plc._trgid.kwd-47311766595_net.g_learning&mcid=6626616148786065462&cname=&camid=664286762&asid=37446315521&targetid=kwd-47311766595&crid=343926466304&placement=&dev=c&ends=1&gclid=Cj0KCQiAmL-ABhDFARIsAKywVaehuw9WLkfw1_Fpjj2ausilUwEui5-YCog3rFfTnqug4lO45n9Wm7waApJ9EALw_wcB&gclsrc=aw.ds" rel="nofollow noopener noreferrer" target="_blank">LinkedIn Learning, Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles, Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters. Generous Paid Time Off and Paid Parental Leave programs, Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs, Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed, Professional development opportunities, including tuition reimbursement programs and unlimited access to
p>Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn<https://www.linkedin.com/company/lennar/> for the latest job opportunities. Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career.
This role is accountable for designing and delivering scalable, secure, and high-performance data solutions, overseeing the full lifecycle of data engineering initiatives from strategy and architecture through implementation, deployment, and production support. THE JOB:
The Senior Data Engineer provides technical leadership in the architecture, development, and operational management of enterprise data platforms and integration services that enable data-driven decision-making across the organization.
ul>Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services • Designing and managing data warehouses and data lakes, verifying data is organized and accessible • Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments • Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines • Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks • Improving Cloud resources for cost, performance, and scalability • Proficiency in SQL and experience with relational databases • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Experience with machine learning and data science workflows is a plus • Knowledge of data governance and data security practices • Demonstrating analytical, problem-solving, and communication skills • Having the ability to work independently and as part of a team in a fast-paced environment • Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Designing and implementing thorough data architecture strategies that meet the current and future business needs • Developing and documenting data models, data flow diagrams, and data architecture guidelines • Verifying data architecture is compliant with data governance and data security policies • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions • Evaluating and recommending new data technologies and tools to enhance data architecture • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing • Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools • Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) or a component is desired. Deep knowledge of data warehousing and Data Lake technologies (e.g., Snowflake, AWS Redshift, Azure Data Lake, Databricks), including experience with designing, building, and maintaining enterprise-scale data platforms.
4.Clienthitect secure, resilient cloud infrastructure on major cloud services provider using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms. 3.Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, speech-to-text/text-to-speech.
Boca Raton, FL30+ days ago
We are a modern forward thinking, innovation driven data engineering supporting the largest company and financials database in the world that is the backbone of our companies success in the current and future state Ai dominated financial industry. These datasets support internal analytical applications as well as commercial data feed products consumed by external clients, making reliability, scalability, and data quality essential.
Proactively monitor and report on database performance and capacity and provide trend analysis for all environments Key Differentiators Understands Razorfish data capabilities and how data fits into a client's overall strategy Understands the breadth of data services and crafts Able to manage data team responsibilities within cross-capability projects Understanding of SQL Understanding of Python coding best practices. Architect Data Structures Understand Cloud Platforms (AWS, GCP, Azure) Mentor Associate Data Engineers Qualifications Experienced database administrator/developer role, preferably in a professional services environment.
If you have a disability under the Americans with Disability Act or a similar law and want a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to careers@Healthfirst.org or calling 212-519-1798 . The incumbent works with product, financial control, analysts, users, and other stakeholders to understand business requirements and support data architecture to build data acquisition strategies.
Must have demonstrated experience in Developing and deploying full-stack applications that enable data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases. Required Qualifications and Skills (Must Be Reflected on Your Resume): A Bachelor's degree in Computer Science, Data Engineering, or a related field -OR- A minimum of 5 years of equivalent experience in full-stack development and data engineering.
p>CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design simple design continuous integration version control and automated testing.
Miami, Florida30+ days ago
Our integrated GLP-1 medication weight management program utilizes state-of-the-art at-home blood collection kits and connected clinical telehealth services to screen, onboard, and manage qualified candidates, ensuring medication adherence and effective management of side effects through continuous telehealth support. Our primary mission is to provide large employers, state/federal governments, unions, and payers with unique healthcare solutions aimed at reducing obesity, improving employee health, and lowering company healthcare costs.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
p/>Our client has an immediate need for a Data Engineer who is responsibe for supporting the companies BI structure using Data Science, AI and M/L in a Power BI and Databricks environment .
This person will be part of a new Data COE build being at the forefront of data technology .
p>Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn<https://www.linkedin.com/company/lennar/> for the latest job opportunities. Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career.
Coral Springs, FL30+ days ago
p>Summary: As a Data Engineer, you will be responsible for collecting, analyzing, and interpreting data to provide valuable insights to our organization. Responsibilities:
- Collect, clean, and preprocess data from various sources, including databases and external data repositories.
p/>Our client has an immediate need for a Data Engineer who is responsibe for supporting the companies BI structure using Data Science, AI and M/L in a Power BI and Databricks environment.
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No.
Drug Screen : No.
Key Responsibilities: Design and build enterprise AI knowledge bases that unify structured, semi-structured, and unstructured data including internal data and third-party data sources (market data, property data, economic indicators, benchmarks, research) to power investment analysis and LLM-driven applications. Data Engineering: Proven expertise designing and operating AI-ready data pipelines using vector databases (Pinecone, Cosmos DB vector, Azure AI Search), relational data stores (SQL / Azure SQL), graph data modeling, and Microsoft Fabric (Lakehouse, pipelines, analytics).