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Polars Data Jobs in Florida (NOW HIRING)

Senior Data Engineer

Cape Canaveral, FL · On-site

$98K - $133K/yr

Python programming experiencewith an understanding of modern data processing libraries such as Polars and/or Pandas,Pydanticand related toolsets. * XML and JSONformats as well asinteraction with ...

Experience with modern data processing engines such as Polars or DataFusion. * Experience contributing to the design and improvement of high-scale, distributed systems. * Experience working directly ...

Senior Data Engineer

Miami, FL · On-site

$149K - $170K/yr

Experience with modern data processing engines such as Polars or DataFusion. * Experience contributing to the design and improvement of high-scale, distributed systems. * Experience working directly ...

Experience with modern data processing engines such as Polars or DataFusion. * Experience contributing to the design and improvement of high-scale, distributed systems. * Experience working directly ...

Proficiency in cleaning, merging, and reshaping data using Pandas, Polars, or SQL.. Preferred Qualifications * Experience with dashboard visualization tools such as Tableau or QlikView. * Experience ...

Polars Data information

What is a Polars Data professional?

Polars Data professionals are specialists who work with Polars, a fast DataFrame library designed for data manipulation and analysis, particularly in Python and Rust. They use Polars to efficiently process large datasets, perform data cleaning, transformation, and analysis tasks. These professionals often have backgrounds in data science, analytics, or software engineering, and choose Polars for its speed and scalability compared to traditional libraries like pandas. Their work is valuable in fields that require rapid data processing, such as finance, research, and technology.

What are common challenges faced by professionals working with Polars Data, and how can they be addressed?

Professionals working with Polars Data often encounter challenges such as adapting to its unique API, optimizing data processing workflows for performance, and integrating Polars with other data tools. Since Polars is relatively new compared to libraries like pandas, there may be limited community support or documentation for complex use cases. To overcome these challenges, it's helpful to actively engage with the Polars community, regularly review official documentation, and experiment with different optimization strategies. Collaborating with team members familiar with similar data processing frameworks can also accelerate the learning curve.

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

To thrive as a Polars Data Engineer, you need strong skills in data engineering, Python programming, and a solid understanding of the Polars library for efficient data processing. Familiarity with data pipeline tools, cloud platforms, and proficiency in using Polars for large-scale, high-performance data manipulation is typical, alongside knowledge of version control systems like Git. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with teams and translating data needs into actionable solutions. These skills ensure you can design robust, scalable data workflows and deliver timely insights for data-driven decision-making.

What is the difference between Polars Data vs Data Analyst?

AspectPolars DataData Analyst
Required SkillsData manipulation, programming in Python/R, familiarity with data processing librariesData interpretation, reporting, visualization skills, basic programming
Work EnvironmentData processing, scripting, working with large datasetsBusiness analysis, presenting insights, collaborating with teams
Industry UsageData engineering, data science, analytics projectsBusiness intelligence, reporting, decision support

Polars Data focuses on efficient data processing and manipulation using programming tools, often in data engineering or data science contexts. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Polars Data is more technical and programming-oriented, whereas Data Analysts focus on analysis and communication of insights.

What cities in Florida are hiring for Polars Data jobs?

Cities in Florida with the most Polars Data job openings:

Senior Data Engineer

Cape Canaveral, FL • On-site

$98K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 24 days ago


Job description

Radiance Technologiesis an employee-owned company with benefits that are unmatched by most companies. Employee ownership, generous 401(k) and profit sharing, health/dental/life/vision insurance benefits, engaging assignments, educational reimbursement, competitive salaries, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

TheSeniorData Engineerwill advance the capabilities of the Naval Oceanographic Office (NAVOCEANO) and Commander, Naval Meteorology and Oceanography Command (CNMOC) by developing, integrating, administering, and optimizing software applications and data platforms at NASA's Stennis Space Center. This position will support the design, development, and maintenance of mission-critical software solutions, data pipelines, data storage architectures, and analytics capabilities.Majorityoftasking is performed on-site.

Required Qualifications

  • B.S. in Computer Science, Software Engineering,Data Engineering/Data Science, or a related field.

  • Active Secret Clearance or the ability to obtain an Interim Secret Clearance prior to start.

  • 7-10+ years of experience with:

  • Algorithmic and software application development.

  • Structured programming development using Configuration Management (CM) toolssuch as Git or Subversion.

  • Python programming experiencewith an understanding of modern data processing libraries such as Polars and/or Pandas,Pydanticand related toolsets.

  • XML and JSONformats as well asinteraction with librariesthat support interaction with these formats.

  • Markdown,HTML, CSS,and JavaScript experience.

  • Understands data velocity, volume, variety, and veracity concepts.

  • Experience working with structured and unstructured datasets in operational environments.

  • Strong understanding of data modeling, data integration, and database design principles.

  • Experienced with the use of Artificial Intelligence (AI) to help accelerate performance.

Preferred Qualifications

  • Security+ Certification.

  • Experience designing, developing, and maintaining data pipelines and ETL/ELTprocessesusing programming skills.

  • Experience building and maintaining large-scale data ingestion, transformation, and analytics workflows.

  • Experience with data orchestration and automation tools.

  • Knowledge of data governancebestpractices.

  • Strong background in working withmulti-parameter, time-based data series with preference towardsMeteorology and Oceanographydatasets.

  • Experienced in ESRI Technologies such as Portal for ArcGIS, ArcGIS Server, ArcGIS Pro / Desktop tools and ESRI Workflow Manager.

  • Experience withCybersecuritybest practicesandDISA STIGchecklists.

  • Experience withcontainer technologies and cloud platforms.

  • Knowledge of RDBMS databases such as PostgreSQLwithPostGIS, SQL Server, or Oracle.

  • Experience inintegrating geospatial data systems with enterprise data platforms and APIssuch asNOAA'sEnvironmental Research Division's Data Access(ERDDAP) platform.

Responsibilities

  • Design and maintain scalable data architectures, pipelines, and automated workflows.

  • Integrate data from diverse operational, scientific, and geospatial sources into enterprise systems.

  • Ensure data quality, integrity, availability, and security across the data lifecycle.

  • Collaborate with scientists, analysts, software developers, and mission stakeholders to deliver data-driven capabilitiesHelp lead the design, development,testing, deployment, and sustainment of software applications supporting NAVOCEANO and CNMOC missions.

  • Support modernization efforts involving cloud technologies, geospatial systems, and advanced analytics platforms.

  • Mentor junior engineers and contribute to technical strategy and best practices.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.