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Sas Python Jobs in Virginia (NOW HIRING)

ICF

Senior Software Engineer (Python) - Remote

Reston, VA · Remote

$126K - $170K/yr

AWS Glue, AWS Athena, PostgreSQL, SAS, FHIR * Jenkins, Git, GitHub, GitHub Actions, Podman ... Python. * 2+ years of experience migrating applications or code to cloud environments. * 2+ years ...

Palnar

Sr. Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

... SAS or Python/PySpark is highly desired Big data (Hive/HDFS etc)/ Cloud (AWS) experience is a plus Excellent communication and analytical skills Must Haves: Python is is must have they need to be ...

Elevance Health

Business Consultant

Richmond, VA · On-site

$96K - $144K/yr

Proficiency in tools such as SAS, Python, R, or similar analytical platforms. * Experience with data visualization tools (e.g., Tableau, Power BI). * Familiarity with Agile environments, data ...

Elevance Health

Business Consultant

Richmond, VA · On-site

$96K - $144K/yr

Proficiency in tools such as SAS, Python, R, or similar analytical platforms. * Experience with data visualization tools (e.g., Tableau, Power BI). * Familiarity with Agile environments, data ...

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How much do sas python jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for sas python in Virginia is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Sas Python position, and why are they important?

To thrive in a Sas Python role, candidates need strong programming skills in both SAS and Python, coupled with a background in data analysis, statistics, or a related quantitative field. Familiarity with data visualization tools, SQL databases, and certifications such as SAS Base Programmer or Python programming are commonly expected. Strong analytical thinking, problem-solving, and effective communication skills help professionals explain technical insights to non-technical stakeholders. These abilities are critical for efficiently managing and interpreting large datasets to drive informed business decisions.

Are SAS programmers in demand?

SAS programmers are in demand in industries such as healthcare, finance, and pharmaceuticals that rely on data analysis and reporting. Skills in SAS, along with knowledge of SQL and data management, can improve job prospects, especially for roles involving data analysis, statistical modeling, and regulatory compliance.

What are typical projects or assignments for someone in a Sas Python role?

Professionals in Sas Python positions often work on projects involving data extraction, transformation, and analysis to support business intelligence, reporting, or predictive modeling efforts. Assignments may include writing and optimizing code in SAS to process large datasets, integrating SAS outputs with Python scripts for advanced analytics, or building custom data pipelines and visualizations. Collaboration is frequent with data scientists, business analysts, and IT teams to ensure insights are aligned with organizational goals. This diverse project exposure offers opportunities to continuously expand your skills and make a measurable impact on business outcomes.

Is Python replacing SAS?

For SAS Python professionals, Python is increasingly used alongside or as an alternative to SAS for data analysis, automation, and machine learning tasks. While Python offers open-source flexibility and a large ecosystem of libraries, SAS remains widely used in industries with strict regulatory requirements and existing infrastructure. Transitioning may require learning Python skills such as pandas, NumPy, and scikit-learn, but both tools can complement each other in data environments.

What is a SAS Python job?

A SAS Python job typically involves using both SAS (Statistical Analysis System) and Python for data analysis, statistical modeling, or data engineering tasks. Professionals in this role work with large datasets, performing data manipulation, visualization, and predictive modeling. They often bridge legacy SAS systems with modern Python-based analytics, leveraging libraries like pandas, NumPy, and scikit-learn. These roles are common in industries such as finance, healthcare, and marketing, where data-driven decision-making is crucial.

Can we use Python in SAS?

SAS supports integration with Python through tools like SASPy, which allows SAS users, including those in roles like SAS Python developers, to run Python code within the SAS environment. This enables data analysts and data scientists to leverage Python libraries alongside SAS procedures for data manipulation and analysis.

How hard is it to get a job at SAS?

Securing a SAS Python job typically requires strong programming skills in Python and experience with SAS software, along with relevant data analysis or statistical knowledge. The difficulty depends on the candidate's experience, certifications, and the job market demand, but having a solid technical background and relevant projects can improve chances.
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What cities in Virginia are hiring for Sas Python jobs? Cities in Virginia with the most Sas Python job openings:
Sas Python jobs near you
Data Engineer AWS - US Citizens

Data Engineer AWS - US Citizens

FRACSYS INC

Leesburg, VA

$120K/yr

Full-time

Posted 28 days ago

Job description

Fracsys Inc is hiring a AWS Data Engineer position. The ideal candidate must have at least 8+ years of industry experience. He or she must be responsible for successful technical delivery of Data Warehousing and Business Intelligence projects. This positions requires US Citizenship due to Clearance requirements.
Responsibilities

  • Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory
    Data Analysis, Data Wrangling,
  • Write complex SQL queries and stored procedures to extract, manipulate, and analyze data from
    relational databases
  • Conduct diagnostic, troubleshooting steps and present conclusions to a varied audience
  • comfortable slinging some code to solve a problem
  • Build Data Marts and Data warehouses to facilitate analytical capabilities across the varied sources of data
  • Design and implement data patterns on cloud using cloud Data warehouse and data virtualization tools
  • Evaluate new tools and technologies for target state on cloud
  • Learn and implement new ETL, BI tools and data warehousing technologies
Qualifications

  • Senior Data professional with over 8 years of expertise in Data Engineering, Data Analysis, and Data
    Science.
  • Experience creating Data Marts, Data warehouses on-premise and on cloud for real time and batch processing frameworks
  • Experience building and optimizing big-data data pipelines and data sets including Postgres, AWS Relational Data Service
  • extensive hands-on experience building and optimizing data structures for data analytics, data science and business intelligence
  • Experience building self-service data consumption patterns and knowledge of cloud-based data Lake platforms
  • Experience wrangling data (structured and unstructured), in-depth knowledge of database architecture
  • Experience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle, SQL server, NoSQL, JDBC, UNIX shell scripting, PERL and JAVA, XML/JSON files, SAS , Python, AWS cloud-native technologies, S3, Athena, Redshift
  • Experience in snowflake is an added bonus.
  • Familiarity with the following technologies: Hadoop, Kafka, Airflow, Hive, Presto, Athena, S3, Aurora, EMR, Spark
  • Ability to drive, contribute to, and communicate solutions to technical product challenges
  • Ability to roll-up your sleeves and work in process or resource gaps and fill it in yourself
  • Excellent written and oral communication skills in English
Education

Bachelors degree in computer science, Data Analytics, Information Systems, or a related degree or equivalent experience. Masters degree is preferred.