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Data engineer Jobs in Miramar, FL
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Data engineer • miramar fl
Lead Data Engineer
Royal Caribbean GroupMiramar, FL, USRemote Investment Analyst – AI Trainer ($50-$60 / hour)
Data AnnotationDavie, FloridaData Entry Clerk
Sciolex CorporationHialeah, FL, United States- Promoted
Data Entry Clerk
SciolexHialeah, FL, USPower BI Data Analyst
Stefanini GroupDavie, Florida, USACUSTOMER SERVICE / DATA ENTRY
GotWorx StaffingMiramar, FL, United StatesSenior Data Engineer
ChenMedMiami Gardens, Florida, United States of AmericaData Entry
5th HQMiramar, FL- Promoted
Data Engineer
VirtualVocationsHialeah, Florida, United StatesAzure Cloud Data Engineer
American Recruiting & ConsultingWeston, FLSQL Data Engineer - SCM
Southern Glazer's Wine & SpiritsMiramar, Florida, United States- Promoted
DATA ANALYST - MARKETING
Seminole Hard Rock Support ServicesDavie, FL, USData Entry Clerk
Hall AssociatesHialeah, FloridaData Engineer
Insight GlobalMiramar, FLData Engineer
Digital Media SolutionsUSA, FL- Promoted
Azure Cloud Data Engineer
ARC GroupWeston, FL, USCivil (Design) Engineer (Data Centers)
JacobsNorth Miami Beach, Florida, United StatesDATA ENTRY CLERK
Compass GroupWest Park, FL, United States- Promoted
CRA Data Analyst
BankUnitedHialeah Gardens, FL, United StatesThe average salary range is between $ 106,600 and $ 178,880 year , with the average salary hovering around $ 113,100 year .
- cloud engineer (from $ 141,375 to $ 231,500 year)
- front end engineer (from $ 71,813 to $ 197,730 year)
- data scientist (from $ 91,250 to $ 182,000 year)
- data engineer (from $ 106,600 to $ 178,880 year)
- freelance (from $ 58,500 to $ 175,500 year)
- business development (from $ 48,750 to $ 175,000 year)
- business development director (from $ 88,518 to $ 175,000 year)
- medical director (from $ 135,000 to $ 172,500 year)
- solutions architect (from $ 157,500 to $ 170,250 year)
- Macon, GA (from $ 84,825 to $ 244,450 year)
- Rockford, IL (from $ 173,350 to $ 215,130 year)
- Fayetteville, NC (from $ 174,100 to $ 212,500 year)
- Alexandria, VA (from $ 119,550 to $ 212,500 year)
- Beaumont, TX (from $ 151,878 to $ 211,761 year)
- Worcester, MA (from $ 88,400 to $ 211,350 year)
- Kent, WA (from $ 117,000 to $ 211,350 year)
- Joliet, IL (from $ 173,350 to $ 211,350 year)
- Concord, CA (from $ 122,500 to $ 211,350 year)
- Waco, TX (from $ 173,350 to $ 211,350 year)
The average salary range is between $ 105,570 and $ 172,017 year , with the average salary hovering around $ 130,000 year .
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Lead Data Engineer
Royal Caribbean GroupMiramar, FL, US- Full-time
Position Summary
The Lead Data Solutions Engineer is responsible for providing data solutions for the call center data team, including projects like telephony system migration and AI agent integration. In this role, the lead ensures that data pipelines and analytics are optimized for call center operations, enabling both batch and real-time insights to enhance customer experiences. Additionally, the lead recommends new tools, techniques, and architectures to automate repetitive and tedious data preparation and integration tasks, reducing manual work and errors while increasing productivity. The Lead Data Solutions Engineer also develops and updates standards and procedures that support high-quality development, testing, and production support.
Essential Duties and Responsibilities
- Lead the migration of call center telephony data from Avaya to Genesys, ensuring seamless data integration and minimal operational disruption.
- Develop and implement real-time data pipelines supporting call center analytics, including agent performance, call routing, and customer satisfaction metrics.
- Integrate AI agents (Cresta, Copilot) within call center workflows to leverage data for enhanced agent productivity and improved customer outcomes.
- Collaborate with call center operations, workforce management, and customer experience teams to deliver solutions aligned with business objectives.
- Ensure adherence to call center data governance standards (PCI, HIPAA, GDPR).
- Direct data engineering initiatives encompassing the design of robust, flexible, reusable, and scalable data pipelines and frameworks that automate ingestion, processing, and delivery of both structured and unstructured data—across batch and real-time streaming scenarios—using a diverse range of data integration and preparation tools for on-premises and cloud environments.
- Partner with business stakeholders and data scientists to ensure all solutions are comprehensive, operationally sound, conform to business processes, and address business requirements with the agreed quality of service.
- Provide leadership on technical decisions, upholding high standards for data quality and operational efficiency.
- Create and maintain thorough technical design documentation.
- Ensure end-to-end solutions are fit for purpose, satisfy business needs, fulfill agreed-upon requirements, and align with strategic architectural direction while remaining pragmatic.
- Assess current ETL / ELT industry best practices to guide adoption and development methodologies.
- Lead and mentor team members, effectively communicate technical concepts, and foster collaboration across diverse teams.
- Evaluate the effectiveness of data integration tools and contribute to platform selection and strategic discussions.
- Oversee data analysis activities necessary for troubleshooting and resolving data-related issues.
- Proactively anticipate potential obstacles and develop strategies to ensure stakeholder requirements are fully represented in data architecture outcomes.
- Monitor the data architecture design process, including data interfaces, in compliance with established processes and standards.
Financial Responsibilities
Qualifications
Knowledge and Skills
Physical Demands