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Senior Data Engineer Jobs in Jupiter, FL (NOW HIRING)

AgileEngine

Senior Data Engineer ID75059

West Palm Beach, FL · On-site

$102K - $139K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large ...

ASR Group

Sr. Data Scientist

Belle Glade, FL · Remote

OVERVIEW Reporting to the VP of R&D, the Senior Data Scientist will serve as a high-level technical ... The individual will work closely with scientists, field teams, operations personnel, engineers, and ...

MetaSense, Inc.

Sr. Data Scientist

Juno Beach, FL · On-site

Title: Sr. Data Scientist Location: 700 Universe Boulevard, Juno Beach, FL Duration: Long Term (12+ months) Interview Mode: Video * 6-8+ years of hands-on data science experience in enterprise ...

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Delan Associates, Inc

Sr. Data Scientist

Juno Beach, FL · On-site

The Senior Data Scientist - Geospatial serves as a technical leader responsible for designing and delivering advanced analytical and modeling solutions using geospatial data. This role leads complex ...

New

Carrier

Senior AI & Data Solutions Engineer

FL · On-site +1

$96K - $192K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or Information Systems field of study * 8+ years of professional experience in AI/ML, data engineering, data science, or advanced ...

Stanley Consultants

Senior Water Engineer

West Palm Beach, FL · On-site

$101K - $138K/yr

Job title - Senior Water Engineer Location - West Palm Beach, FL Job type - Hybrid Requisition ID ... a data-driven, "smart water" future. That heritage, combined with the skill and energy of an ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Jupiter, FL

Senior Data Engineer information

See Jupiter, FL salary details

$79.2K

$123.5K

$171.1K

How much do senior data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior data engineer in Jupiter, FL is $123,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $140,800.00 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 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 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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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 are the most commonly searched types of Data Engineer jobs in Jupiter, FL? The most popular types of Data Engineer jobs in Jupiter, FL are:
What are popular job titles related to Senior Data Engineer jobs in Jupiter, FL? For Senior Data Engineer jobs in Jupiter, FL, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Jupiter, FL look for? The top searched job categories for Senior Data Engineer jobs in Jupiter, FL are:
What cities near Jupiter, FL are hiring for Senior Data Engineer jobs? Cities near Jupiter, FL with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Jupiter, FL as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $123,527 per year, or $59.4 per hour.

Sr. Data Engineer

United Utility Services, LLC

Palm Beach Gardens, FL • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

About Us
Welcome to United Utility Services, a dynamic player in the electric utility industry. As a trailblazer, we provide comprehensive and innovative offerings that bolster power infrastructure investments across the U.S. We proudly serve as the parent company to industry-leading utility service contractors specializing in transmission, substation, distribution, and grid hardening projects. Our Core Values are clear and simple: Safety, Quality, Integrity, and Professionalism. At United Utility Services, we craft power delivery solutions - built safe, engineered smart, and driven by what customers demand - fueling communities with reliable energy. We are the best-in-class, trusted partner delivering customer-centric Power Delivery Construction and Engineering solutions.
Posting Date: 5/13/2026 Minimum posting date: 5/18/2026
The salary range for this position is $130,000.00 - $150,000.00 annually. Final compensation will be determined based on experience, qualifications, and overall fit for the role.
Benefits:
Benefits include medical, dental, and vision insurance; Health Savings Account (HSA) and Flexible Spending Account (FSA) options where applicable; 401(k) with company match; paid time off; company-paid holidays; and short and long-term disability.
How to Apply:
Candidates may apply by clicking the "apply" button in this posting which is hosted on our careers page at https://unitedutility.com/careers
Internal Employee Notice:
This opportunity is being communicated internally in accordance with the Company's Recruiting Transparency and Opportunity Notice process. Current employees are encouraged to apply through our careers page at https://unitedutility.com/careers
About The Role
We are seeking a hands-on Data Architect to personally design, build, and operationalize our enterprise data platform. This is an individual-contributor role for someone who can define strategy and execute it directly in a lean environment.
Our organization is 100% cloud-based and Microsoft-centric, operating across a diverse portfolio of vendor-hosted applications. This role will unify those disparate data sources using Azure, Microsoft Fabric, Power Platform, Dataverse, and Azure SQL, laying the foundation for governed analytics, self-service reporting, and future AI initiatives.
Strong candidates will have a practical mix of data engineering, analytics, and business application experience, with comfort working across both Microsoft/Azure tools and other modern data platforms.
This position is ideal for a pragmatic architect who prefers owning outcomes end-to-end, rather than operating only at the conceptual or oversight level.
Key Responsibilities
Hands-On Architecture & Delivery
  • Design and personally implement core components of the enterprise data architecture using Microsoft Fabric (Lakehouse, Warehouse, OneLake) and Azure data services.
  • Build and maintain data ingestion and transformation pipelines, integrating data from multiple SaaS and vendor-hosted systems.
  • Develop enterprise data models (conceptual, logical, physical) that directly support reporting and operational use cases.
  • Enable analytics, Build reports, and self-service reporting through Power BI, Power Platform, and Dataverse.
  • Strong SQL skills, including data modeling, transformations, query optimization, and troubleshooting.
  • Experience building reliable data pipelines using Python, APIs, cloud storage, and modern data integration tools.
  • Familiarity with cloud data platforms such as Snowflake, Databricks, Azure SQL / Synapse / Fabric, BigQuery, Redshift, or similar environments.
  • Experience working with structured and semi-structured data sources, including REST APIs, JSON, CSV, Excel, databases, and SaaS exports.
  • Familiarity with data transformation, orchestration, and integration tools such as dbt, Airbyte, Fivetran, Dagster, Airflow, GitHub Actions, or similar platforms.
  • Experience with Git-based development workflows and basic software engineering practices.
  • Interest in AI-enabled analytics, automation, and internal tools, including practical use of AI coding assistants and LLM-based workflows.
    • Reporting & Analytics Enablement
  • Experience with business intelligence and reporting tools, especially Power BI, including data modeling, Power Query, DAX, dashboard development, and report performance tuning.
    • Working familiarity with the Microsoft Power Platform, including Power Apps, Power Automate, and Dataverse.
    • Design and implement analytics-ready data models specifically optimized for reporting and performance.
    • Build and maintain Power BI datasets, semantic models, and shared data sources that support:
    • Operational reporting
    • Financial and performance reporting
    • Executive dashboards
    • Ensure reports are sourced from governed, consistent datasets, reducing duplication and conflicting metrics.
    • Partner directly with business users and analysts to understand reporting requirements and translate them into data models and reusable datasets.
    • Improve report performance, reliability, and refresh stability through proper modeling, aggregation strategies, and Fabric/Azure SQL optimization.

      • Enterprise Data Strategy
    • Define a practical, phased enterprise data strategy and roadmap aligned to business priorities.
    • Establish architectural standards that balance scalability, cost, and usability.
    • Translate business and operational needs into actionable data solutions-not just diagrams.
      • Data Governance & Quality
    • Personally implement data governance practices, including:
    • Data ownership and stewardship models
    • Data quality rules and monitoring
    • Metadata, documentation, and lineage standards
    • Ensure data platforms meet security, access control, and compliance requirements in coordination with IT security.
      • Collaboration & Influence
    • Partner closely with IT, Finance, Operations, and business leaders to ensure data solutions are usable and trusted.
    • Act as the technical authority on enterprise data decisions.
    • Provide light mentorship and guidance as data practices mature.

      • What This Role Is - and Is Not
      This role is:
    • Hands-on
    • Architect + builder
    • Individual contributor
    • Outcome-driven in a lean IT organization

      • This role is not:
    • A pure governance or policy role
    • A BI-only or reporting developer role
    • A role dependent on a large data engineering team

      • Required Qualifications
    • 7+ years in data architecture, data engineering, or analytics architecture roles.
    • Strong hands-on experience with:
    • Microsoft Fabric
    • Microsoft Excel
    • Azure SQL
    • Power BI
    • Power Platform / Dataverse
    • Databricks
    • Python
    • Snowflake
    • Synapse
    • REST APIs,
    • JSON,
    • CSV,
    • Excel,
    • databases, and
    • SaaS exports
    • Experience integrating data across multiple SaaS/vendor platforms.
    • Proven ability to design and build cloud-native data architectures.
    • Solid understanding of data governance implemented in real environments (not just frameworks).

      • Preferred
    • Experience with Microsoft Purview or similar governance tooling.
    • Azure or Fabric certifications.
    • Experience establishing data foundations in cloud-only organizations.
    • Bachelor's degree in computer science, Data Engineering, Business Administration, or a related field.

    Applicants may be asked:
    "Are you currently employed by the Company?"
    For standard external opportunities, this question is used for applicant classification, reporting, and workforce analytics purposes only.
    We do not accept unsolicited resumes or candidate submissions from third-party recruiters or staffing firms. Resumes submitted without a signed, written agreement with the Company and outside the approved HR/Recruiter process will not be reviewed or considered, and the Company will not be responsible for any associated fees.
    Accessibility: If you need an accommodation as part of the employment process, please contact
    Email: HRSC@unitedutility.com
    Equal Opportunity Employer is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

Equal Opportunity Employer, including disabled and veterans.

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