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Data Analyst Python Sql Jobs in Jupiter, FL (NOW HIRING)

Health Care District

Data Architect

West Palm Beach, FL

$61.75 - $79.25/hr

... , SSIS, Snowflake). * Proficiency in programming languages such as Python for building data ... Excellent analytical and problem-solving skills. * Strong communication and interpersonal skills ...

Health Care District

Data Architect

West Palm Beach, FL · On-site +1

$61.75 - $79.25/hr

... , SSIS, Snowflake). * Proficiency in programming languages such as Python for building data ... Excellent analytical and problem-solving skills. * Strong communication and interpersonal skills ...

GEI Consultants

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake ...

GEI Consultants

Data Engineer

West Palm Beach, FL

$90K - $150K/yr

Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake ...

Carrier

Senior Data Engineer

FL · On-site +1

$102K - $139K/yr

Design data models that support analytics, reporting, and data product consumption across raw ... Proficiency in SQL, Python, and modern ETL/ELT frameworks. * Experience implementing open lakehouse ...

MyFlorida

DATA SCIENCE INTERNSHIP

Lake Worth, FL

Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the ... Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Jupiter, FL

Data Analyst Python Sql information

See Jupiter, FL salary details

$33.2K

$80.8K

$133K

How much do data analyst python sql jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data analyst python sql in Jupiter, FL is $80,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,800.00 per year, depending on experience, location, and employer.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Jupiter, FL look for? The top searched job categories for Data Analyst Python Sql jobs in Jupiter, FL are:
What cities near Jupiter, FL are hiring for Data Analyst Python Sql jobs? Cities near Jupiter, FL with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Jupiter, FL as of June 2026, with employment types broken down into 1% Locum Tenens, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $80,808 per year, or $38.9 per hour.
SR. Data Engineer

SR. Data Engineer

United Utility Services, LLC

Palm Beach Gardens, FL • On-site

$108K - $130K/yr

Full-time

Posted 10 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.
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.

    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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