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$68.4K

$106K

$129.1K

How much do remote r programmer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for remote r programmer in Louisiana is $106,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $119,300.00 per year, depending on experience, location, and employer.

What is a Remote R Programmer job?

A Remote R Programmer is a professional who develops, analyzes, and optimizes data-driven solutions using the R programming language while working remotely. They typically handle statistical modeling, data visualization, and automation for various industries such as healthcare, finance, and research. This role often requires proficiency in R packages, data manipulation, and possibly integration with other tools like SQL or Python. Remote R Programmers collaborate with teams through virtual communication and use cloud-based or local development environments.

What are the key skills and qualifications needed to thrive in the Remote R Programmer position, and why are they important?

A Remote R Programmer requires strong proficiency in R programming, data analysis, and statistical modeling, typically backed by a degree in computer science, statistics, or a related field. Familiarity with tools like RStudio, version control systems (e.g., Git), and experience with relevant data visualization or reporting libraries are commonly expected. Excellent problem-solving skills, self-motivation, and effective communication are crucial for remote collaboration and project delivery. These competencies ensure the programmer can independently develop, deploy, and maintain analytical solutions while contributing effectively to distributed teams.

What does a typical day look like for a Remote R Programmer?

A typical day for a Remote R Programmer involves writing and testing R scripts, analyzing large datasets, creating data visualizations, and preparing reports for team review. You may have regular check-ins or stand-up meetings with data scientists, project managers, or stakeholders to discuss project progress and address any technical challenges. Collaboration often occurs via digital communication platforms, with an emphasis on documenting code and sharing updates regularly. The remote nature of the role requires self-discipline, clear communication, and proactive problem-solving to ensure project goals are met efficiently.
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Remote R Programmer jobs near you
Infographic showing various Remote R Programmer job openings in Louisiana as of May 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $106,035 per year, or $51 per hour.

Data Engineer, Baton Rouge, La

Pedigo Staffing Services

Baton Rouge, LA • Remote

$89K - $107K/yr

Full-time

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

Job description

Title: Data Engineer Agency: State of Louisiana, Louisiana Department of Health Location: 628 North 4th Street, Baton Rouge, LA 70802 Telework Policy: The primary work location will be Contractor Remote Facility RFR Number: SR-5253733 System or Program Supported: OPH DMI Team Staffing Assess feasibility and technical requirements for LINKS → DataLake integration. Collaborate with OPH Immunization Program, OPH Bureau of Health Informatics and STChealthon data specifications and recurring ingestion pipelines. Build and optimize ETL workflows for LINKS and complementary datasets (Vital Records, labs, registries).

Design scalable data workflows to improve data quality, integrity, and identity resolution. Implement data governance, observability, and lineage tracking across all pipelines. Mentor engineers, support testing, and enforce best practices in orchestration and architecture.

Document and communicate technical solutions to technical and non-technical stakeholders. Expertise and/or relevant experience in the following areas are mandatory: 3 years of experience in data engineering and/or data architecture 2 years of experience with Python for ETL and automation (pandas, requests, API integration). 2 years hands-on experience with SQL queries, stored procedures, performance tuning (preferable Oracle, SQL Server, MySQL) 1 year experience with ETL orchestration tools (Prefect, Airflow or equivalent).

1 year experience with cloud platforms (Azure, AWS, or GCP), including data onboarding/migration. 1 year exposure to data lake / medallion architecture (bronze, silver, gold) 2 years of experience providing written documentation and verbal communication for cross-functional collaboration. Expertise and/or relevant experience in the following areas are desirable but not mandatory: 5+ years of experience in data engineering roles Experience integrating or developing REST/JSON or XML APIs Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.).

Exposure to Infrastructure as Code experience (Terraform, CloudFormation). Experience with data governance and metadata tools (Atlan, OpenMetadata, Collibra). Public health/healthcare dataset or similar experience, including PHI/PII handling.

Familiarity with SAS and R workflows to support epidemiologists and analysts. Experience with additional SQL platforms (Postgres, Snowflake, Redshift, BigQuery). Familiarity with data quality frameworks (Great Expectations, Deequ).

Experience with real-time/streaming tools (Kafka, Spark Streaming). Familiarity with big data frameworks for large-scale transformations (Spark, Hadoop). Knowledge of data security and compliance frameworks (HIPAA, SOC 2, etc.).

Agile/SCRUM team experience. #J-18808-Ljbffr

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