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Senior Data Engineer Jobs in Altamonte Springs, FL

Intellisoft Technologies

Senior Data Engineer

Orlando, FL · On-site

$98K - $134K/yr

Intellisoft Technologies is working with Disney Streaming, a leading premium streaming service, to find a Senior Data Engineer. The successful candidate will build foundational datasets from ...

Intellisoft Technologies

Senior Data Engineer

Orlando, FL · On-site

$98K - $134K/yr

Intellisoft Technologies is seeking a Senior Data Engineer for Disney Streaming, a leading premium streaming service. The role involves building foundational datasets from clickstream and quality of ...

SmartIPlace

Data Engineer [Hybrid] w2 role

Orlando, FL · On-site

$106K - $128K/yr

Title: Sr. Data Engineer Duration: 12+ month Contract - Hybrid (3 days on site) Location: Orlando FL Preferred Responsibilities / What You Will Do * Plan and lead research and development for ...

Pwc

Data Engineer - Senior Manager

Orlando, FL · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Associate

Orlando, FL · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Versant Limited

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... feature engineering techniques, and scalable transformation processes to ensure accuracy ...

Versant Media

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... feature engineering techniques, and scalable transformation processes to ensure accuracy ...

Stellar IT Group

Senior Data Analyst

Altamonte Springs, FL · On-site

$80K - $101K/yr

... engineering role) with strong SQL expertise and experience in Snowflake data warehousing, ETL ... Senior analyst mindset with strong attention to detail and a collaborative attitude. * Desire to ...

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

Senior Data Scientist (Operations Strategy & Advanced Analytics) Role Overview We are seeking a ... Data Engineering & Feature Discovery (20%) • Assist in the collection, cleaning, and organization ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Altamonte Springs, FL

Senior Data Engineer information

See Altamonte Springs, FL salary details

$75.7K

$118.1K

$163.6K

How much do senior data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior data engineer in Altamonte Springs, FL is $118,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $134,600.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineer jobs in Altamonte Springs, FL?

The most popular types of Data Engineer jobs in Altamonte Springs, FL are:

What are popular job titles related to Senior Data Engineer jobs in Altamonte Springs, FL?

For Senior Data Engineer jobs in Altamonte Springs, FL, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Altamonte Springs, FL look for?

The top searched job categories for Senior Data Engineer jobs in Altamonte Springs, FL are:

What cities near Altamonte Springs, FL are hiring for Senior Data Engineer jobs?

Cities near Altamonte Springs, FL with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Altamonte Springs, FL as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $118,087 per year, or $56.8 per hour.

SENIOR DATA ENGINEER

ONE ALLIANCE INSURANCE MANAGERS INC

Orlando, FL • On-site

$99K - $134K/yr

Full-time

Re-posted 19 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.