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Afternoon Data Analyst R Programming Jobs in Tallahassee, FL

Lead Data Engineer Location : Tallahassee, FL Onsite Duration : July 1, 2026 - June 30, 2027 About ... Database Management & Analytics * Manage and maintain large-scale SQL database environments.

Data Engineer - Healthcare

Tallahassee, FL · Remote

$99.20K - $119.20K/yr

Assess complex data sets and conduct root cause analysis. * Experience using data to improve ... Engineering, or related field. * Experience working with healthcare data from diverse EHRs, and an ...

Perform data analysis and data mining within a data warehouse environment * Support reporting use ... Bachelors degree in Computer Science, Information Systems, Engineering, or related field, or ...

Proficiency with BI tools (Power BI, Tableau), data tools (SQL, Python, R, SAS), project management ... re-engineering. * Soft Skills: Exceptional leadership, cross-departmental collaboration ...

Proficiency with BI tools (Power BI, Tableau), data tools (SQL, Python, R, SAS), project management ... re-engineering. * Soft Skills: Exceptional leadership, cross-departmental collaboration ...

Data Architect

Tallahassee, FL · Hybrid

$55.25 - $71/hr

This scope of work is for a Data and Analytics Architect/Engineer who will be responsible for collaborating with the Florida Department of Health (Department) and its System Implementer (SI) to ...

AI Data Architect

Tallahassee, FL · On-site +1

$83.20K - $178.80K/yr

Certifications such as AWS Certified Data Analytics - Specialty, Google Professional Data Engineer, or DAMA CDMP. * Regulatory reporting, risk data aggregation, and AI-specific compliance frameworks ...

Senior Data/AI Engineer

Tallahassee, FL · Remote

$91.90K - $124.80K/yr

Specialty Networks' PPS Analytics platform analyzes data from electronic medical records (EMR ... Job Summary The Senior Data/AI Engineer is a senior individual contributor on the Data & AI ...

Data Engineer 5

Tallahassee, FL · On-site

$99.20K - $119.20K/yr

Data Engineer The main function of a data engineer is to ensure that the data assets of an ... Direct programmers and analysts to make changes to existing databases and database management ...

New

Proficiency in writing SQL Queries and performing Data Analysis is required. * Experience working with Microsoft DevOps is highly desired. * Knowledge of Rules 60GG-1 - 60GG-5, Florida Administrative ...

Proficiency in writing SQL Queries and performing Data Analysis is required. * Experience working with Microsoft DevOps is highly desired. * Knowledge of Rules 60GG-1 - 60GG-5, Florida Administrative ...

Proficiency in writing SQL Queries and performing Data Analysis is required. * Experience working with Microsoft DevOps is highly desired. * Knowledge of Rules 60GG-1 - 60GG-5, Florida Administrative ...

Proficiency in writing SQL Queries and performing Data Analysis is required. * Experience working with Microsoft DevOps is highly desired. * Knowledge of Rules 60GG-1 - 60GG-5, Florida Administrative ...

Sr. Data Engineer

Tallahassee, FL · On-site

$150K - $190K/yr

The Senior Data Engineer will be responsible for the analysis, design, and development of solutions focused on data engineering and ETL workflows. As a Sr. Software Engineer - Data, you will work ...

data architect

Tallahassee, FL · On-site

$55.25 - $71/hr

... data engineering (7-10 years); • Experience working with already defined ADF, Azure Databricks, Azure Synapse Analytics, and Azure Purview (3-5 years); • Experience in building and optimizing ...

Lead, Data Engineer

Tallahassee, FL · On-site +1

$125K - $232K/yr

Lead, Data Engineer Job Code: 35910 Job Location: Melbourne, FL or Remote Opportunity Job Schedule ... big data analytics at scale. * Build visualizations using Palantir Foundry tools and assist ...

PROGRAM ANALYST II - 64007507

Tallahassee, FL · On-site

$42.56K - $58.67K/yr

Prepare and compile data related to infants or toddlers with disabilities receiving early ... R esponsiveness: We achieve our mission by serving our customers & engaging our partners. E ...

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Afternoon Data Analyst R Programming information

See Tallahassee, FL salary details

$32.3K

$78.5K

$129.2K

How much do afternoon data analyst r programming jobs pay per year?

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Tallahassee, FL is $78,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Tallahassee, FL? The most popular types of Data Analyst R Programming jobs in Tallahassee, FL are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Tallahassee, FL? For Afternoon Data Analyst R Programming jobs in Tallahassee, FL, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Tallahassee, FL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Tallahassee, FL are:
What cities near Tallahassee, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Tallahassee, FL with the most Afternoon Data Analyst R Programming job openings:
Senior Data Engineer - Streaming, Analytics & Visualization

Senior Data Engineer - Streaming, Analytics & Visualization

Highmark Health

Tallahassee, FL • On-site

$99.20K - $119.20K/yr

Other

This job post has expired today. Applications are no longer accepted.


Highmark Health rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

Company :

enGen

Job Description :

JOB SUMMARY

CANDIDATE MUST BE US Citizen (due to contractual/access requirements)

As a Senior Data Engineer, you will design and operate real‑time and analytical data pipelines that power enterprise reporting and decision‑making, including security and operational telemetry data. You will be responsible for ingesting, modeling, and optimizing high‑volume streaming and batch data in Azure Data Explorer (ADX), enabling fast, reliable analytics at scale.

This role blends deep data engineering with analytics enablement. You will structure and transform data using modern cloud and streaming technologies ( Kafka, Cribl, Azure Data Factory), applying medallion architecture principles to ensure data quality, performance, and governance across the full data lifecycle.

A core responsibility is translating engineered data into business‑ready insights by developing curated datasets, analytics, and Power BI (and Tableau) dashboards used by internal teams and leadership. Success in this role requires strong proficiency in KQL, SQL, and Python, experience optimizing ADX for analytical workloads, and the ability to partner with stakeholders—including security and risk teams—to turn business questions into scalable, high‑impact data products.

ESSENTIAL RESPONSIBILITIES

  • Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems

  • Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs

  • Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs

  • Monitor work against production schedule,provide progress updates, and report any issues or technical difficulties to lead developers regularly

  • Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations.

  • Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking

  • Mentor other associate and intermediate data engineers as needed

  • Perform data analysis and provide insights to support decision-making across various departments

  • Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed

  • Other duties as assigned or requested.

EXPERIENCE

Required

  • 5 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems

  • 5 years of experience in a data engineering, ETL development, or data management role.

  • 5 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB).

  • 5 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery)

Preferred

  • 7 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory).

  • 7 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities

  • 7 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare

  • 7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services

  • 7 years of experience in data governance, data quality, and data security best practices

  • 7 years of experience translating requirements, design mockups, prototypes or user stories into technical designs

  • 7 years of experience in producing data-related code that is fault-tolerant, efficient, and maintainable

  • 7 years of experience structuring and transforming data from multiple source systems.

  • 7 years of experience creating data visualizations and dashboards using Power BI or Tableau for internal and external audiences.

  • 7 years of experience using Cribl as a steaming and transformation solution.

  • 7 years of experience using Azure Data Factory as a transformation solution.

  • 5 years of experience using Azure Data Explorer

SKILLS

  • Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment

  • Adaptability: Strong ability to take on diverse tasks and projects, adapting to the evolving needs of the organization

  • Analytical Thinking: Strong analytical skills with a focus on detail and accuracy

  • Interest and ability to learn other data development technologies/languages as needed

  • Technical Proficiency: Comfortable with a range of data tools and technologies, with a willingness to learn new skills as needed

  • Strong track record in designing and implementing large-scale data sources

  • Strong sense of ownership, urgency, and drive

  • Demonstrated passion for user experience and improving usability

  • Team Collaboration: A team player who can work effectively in cross-functional environments

  • Experience and willingness to mentor junior data engineers and help develop their skills and leadership

EDUCATION

Required

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field

Preferred

  • Master's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field

LICENSES or CERTIFICATIONS

Required

  • None

Preferred

  • None

Language (Other than English):

None

Travel Requirement:

0% - 25%

PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS

Position Type

Office- or Remote-based

Teaches / trains others

Occasionally

Travel from the office to various work sites or from site-to-site

Rarely

Works primarily out-of-the office selling products/services (sales employees)

Never

Physical work site required

No

Lifting: up to 10 pounds

Constantly

Lifting: 10 to 25 pounds

Occasionally

Lifting: 25 to 50 pounds

Rarely

Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.

Compliance Requirement : This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.

As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy.

Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.

Pay Range Minimum:

$102,700.00

Pay Range Maximum:

$164,600.00

Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.

Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.

We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.

For accommodation requests, please contact HR Services Online at HRServices@highmarkhealth.org

California Consumer Privacy Act Employees, Contractors, and Applicants Notice

Req ID: J278531


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Highmark Health logo

About Highmark Health

Sourced by ZipRecruiter

A national blended health organization, Highmark Health and our leading businesses support millions of customers with products, services and solutions closely aligned to our mission of creating remarkable health experiences, freeing people to be their best. Headquartered in Pittsburgh, we're regionally focused in Pennsylvania, Delaware, West Virginia, and eastern and northwestern New York with customers in 50 states and the District of Columbia. We passionately serve individual consumers and fellow businesses alike. And our companies cover a diversified spectrum of essential health-related needs including health insurance, health care delivery, population health management, dental solutions, reinsurance solutions, and innovative, technology solutions. Our financial position reflects strength and stability, with our year-end 2022 consolidated revenues totaling $26 billion. And we're proud to carry forth an important legacy of compassionate care and philanthropy that began more than 170 years ago. This tradition of giving back, reinvesting and ensuring that our communities remain strong and healthy is deeply embedded in our culture, informing our decisions every day.

Industry

Health care and social assistance and insurance services

Company size

10,000+ Employees

Headquarters location

Pittsburgh, PA, US