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Senior Data Engineer Manager Jobs in Florida (NOW HIRING)

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

The Senior Data Engineer collaborates closely with cross-functional teams--including data analysts, data scientists, product managers, and business stakeholders--to define requirements, drive ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

The Senior Data Engineer collaborates closely with cross-functional teams-including data analysts, data scientists, product managers, and business stakeholders-to define requirements, drive technical ...

Elevance Health

Senior Data Engineer

Tampa, FL · Hybrid

$100K - $136K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 ... Acts as a subject matter expert among peers, with manager and senior management on all matters ...

Univision

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand ...

Univision Communications, Inc.

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand ...

Elevance Health

Senior Data Engineer

Tampa, FL · Hybrid

$100K - $136K/yr

Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week ... Acts as a subject matter expert among peers, with manager and senior management on all matters ...

Elevance Health

Senior Data Engineer

Miami, FL · Hybrid

$101K - $137K/yr

Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week ... Acts as a subject matter expert among peers, with manager and senior management on all matters ...

Deloitte

Senior Data Engineer

Miami, FL · Hybrid

$101K - $137K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ... Communicate regularly with Engagement Managers (Directors), project team members, and ...

Paramount

Sr Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Senior Data Engineer Role Details: We are looking for a talented senior data engineer specializing ... management. • Migration of legacy applications and services to our core data ingestion and ...

TelevisaUnivision

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will be responsible for designing, developing, and deploying data ... Product Managers, Data Scientists, Analysts, and Engineering teams to understand business ...

Paramount

Sr Data Engineer

Fort Lauderdale, FL

$116K - $153K/yr

Senior Data Engineer Role Details: We are looking for a talented senior data engineer specializing ... Containerizing core systems to reduce the overhead of infrastructure management. Migration of ...

1 point system

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

* Seeking a Senior Data Engineer to support and scale critical AI‑driven data initiatives powering customer‑facing, always‑on platforms. * This is a 100% hands‑on, individual contributor role ...

Accenture

Google Senior Data Engineer

Miami, FL · On-site

$94K - $266K/yr

Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...

New

Accenture

Google Senior Data Engineer

Tampa, FL · On-site

$94K - $266K/yr

Implement metadata management, data quality checks, and lineage tracking using GCP tools (Dataplex ... Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ...

New

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Senior Data Engineer Manager information

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

What is the difference between Senior Data Engineer Manager vs Data Engineer?

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.

What are the most commonly searched types of Senior Data Engineer jobs in Florida?

The most popular types of Senior Data Engineer jobs in Florida are:

What are popular job titles related to Senior Data Engineer Manager jobs in Florida?

For Senior Data Engineer Manager jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer Manager jobs in Florida look for?

The top searched job categories for Senior Data Engineer Manager jobs in Florida are:

What cities in Florida are hiring for Senior Data Engineer Manager jobs?

Cities in Florida with the most Senior Data Engineer Manager job openings:

Senior Data Engineer Manager jobs near you

SENIOR DATA ENGINEER

ONE ALLIANCE INSURANCE MANAGERS INC

Orlando, FL • On-site

$99K - $134K/yr

Full-time

Re-posted 12 days ago

Job description

General Description:

The Senior Data Engineer plays a critical leadership role within the Information Technology organization, partnering closely with data and analytics leadership to design, build, and evolve scalable, reliable, and secure data platforms that support enterprise analytics, reporting, and advanced data initiatives. This role is responsible for driving technical standards, architectural decisions, and best practices across data engineering efforts, while ensuring high levels of data availability, quality, and accessibility across business domains.

The Senior Data Engineer works independently on complex initiatives, translates business and analytical requirements into robust technical solutions, and serves as a technical mentor to other data engineers and analysts. This position contributes significantly to data platform modernization, data product development, and the enablement of self-service analytics, AI/ML, and future-state data capabilities.

Essential Duties and Responsibilities:

Data Platform Management

Provide senior-level support and ongoing optimization of the Enterprise Data Mesh, ensuring accuracy, performance, scalability, and reliability of data pipelines processes and downstream data consumption.

Data Platform Architecture

Lead the architecture, design, and implementation of scalable on-premises and/or cloud-based enterprise data platforms, integrating Guidewire and non-Guidewire data sources to support enterprise analytics and data products.

Advanced Data Integration & Engineering

Design, develop, and oversee robust ETL/ELT pipelines using modern tools and frameworks, such as Microsoft Fabric, TimeXtender, or Databricks. Establish patterns for ingestion, transformation, orchestration, and monitoring of complex data workflows.

Data Modeling & Technical Architecture

Design and govern optimized data models for structured and semi-structured data, supporting reporting, analytics, operational use cases, and AI/ML initiatives. Influence architectural standards and long-term data strategy.

Data Governance, Quality & Security

Champion best practices for data governance, metadata management, data quality, lineage, and security. Ensure compliance with regulatory and internal standards across all enterprise data assets.

Advanced Analytics Enablement

Enable self-service analytics, near-real-time data processing, and AI/ML-driven use cases by integrating data lakes, lakehouse architectures, streaming technologies, and modern data storage paradigms.

Collaboration, Mentorship & Leadership

Act as a trusted technical partner to IT, analytics teams, and business stakeholders. Mentor junior data engineers and analysts, review designs and code, and promote a culture of engineering excellence and data-driven decision-making.

Operational Excellence

  • Monitor the task queue, take, and update tickets as directed by your supervisor.
  • Successfully engage in multiple initiatives simultaneously.
  • Contributes to the development of project plans and may assign and monitor tasks.
  • Assist in the development and generation of new reports to be provided to senior management across functional departments.
  • Performs other duties as required.

Supplemental Information:

This job description has been prepared to indicate the general nature and level of the work that the employees perform within their classification. This description is not and cannot be interpreted as an inventory of all the duties, tasks, responsibilities, and qualifications required for the employees assigned to this job.

Education and / or Experience:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field
  • 8+ years of progressive experience in data engineering, data architecture, or related roles, preferably within the insurance industry
  • Strong expertise in Guidewire InsuranceSuite database schemas (PolicyCenter, BillingCenter, ClaimCenter) is a plus
  • Proven ability to analyze, learn, and integrate complex data source models into enterprise data platforms
  • Hands-on experience implementing cloud-based data platforms in Azure, including data lakehouse architectures
  • Advanced proficiency with modern ETL/ELT tools (e.g., SSIS, Azure Data Factory) and database technologies (SQL Server, Databricks, etc.)
  • Experience with big data processing, streaming technologies (Kafka, Spark, Flink), and API-driven integrations
  • Strong understanding of data security, compliance, and governance best practices (GDPR, CCPA, SOC 2, etc.)
  • Familiarity with BI and analytics tools such as Power BI, Tableau, or Looker
  • Experience with Data Mesh architecture is a plus
  • Knowledge of machine learning concepts, data pipelines for ML, and MLOps is a plus
  • Familiarity with ticketing systems such as Atlassian Jira
  • Demonstrated ability to work independently, prioritize effectively, and deliver high-quality solutions under tight deadlines
  • Strong organizational skills, attention to detail, and adaptability in a changing environment
  • Excellent verbal and written communication skills, with the ability to interact professionally with executives, managers, and technical stakeholders
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint)

Licenses and / or Certifications:

Azure Data Engineer Associate or higher preferred.