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Sas Programmer Jobs in Frederick, MD (NOW HIRING)

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K/yr

... 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 ...

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K/yr

... 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 ...

TIAG

Data Analyst

Frederick, MD · Hybrid

General Data Engineering & Reporting Responsibilities: * Utilize Microsoft Excel and Power Query to ... Proficiency with SAS BI, SQL, Tableau, and Microsoft Excel. * Ability to report onsite 3 days a ...

The Emmes Company, LLC

Biostatistician

Rockville, MD · On-site

Strong programming skills in SAS and/or R. * Ability to manage multiple tasks. * Ability to work independently, as well as in a team environment. * Ability to effectively communicate technical ...

Emmes

Biostatistician

Rockville, MD · On-site +1

Strong programming skills in SAS and/or R. * Ability to manage multiple tasks. * Ability to work independently, as well as in a team environment. * Ability to effectively communicate technical ...

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All JobsSas Programmer JobsSas Programmer Jobs in Frederick, MD

Sas Programmer information

See Frederick, MD salary details

$14

$48

$79

How much do sas programmer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for sas programmer in Frederick, MD is $48.72, according to ZipRecruiter salary data. Most workers in this role earn between $34.18 and $61.20 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a SAS programmer, and why are they important?

To thrive as a SAS Programmer, you need strong analytical skills, proficiency in SAS programming languages, and typically a degree in computer science, statistics, or a related field. Familiarity with data management tools, statistical analysis software, and knowledge of clinical data standards like CDISC are often required, along with SAS Base and Advanced certifications. Attention to detail, problem-solving abilities, and effective communication skills help SAS Programmers excel in translating complex data into actionable insights. These skills ensure accurate data analysis, regulatory compliance, and effective collaboration with project teams.

What does a SAS programmer do?

As a SAS (Statistical Analysis System) programmer, you are an IT professional who focuses on data collection and analysis. SAS programmers aggregate data and manipulate it for the purpose of analyzing current projects and productivity, as well as predicting future trends and needs. They gather data from all available sources and process it using SAS in order to find the desired answers or provide needed analysis to management to help in decision making.

What are some common challenges SAS programmers face when working with large datasets, and how can they be addressed?

SAS Programmers often encounter challenges related to processing speed and memory limitations when working with very large datasets. To address these issues, it is important to use efficient coding practices such as indexing, data step optimization, and leveraging SAS procedures designed for large data handling. Collaborating closely with data management teams and IT support can also help in optimizing access to hardware resources and ensuring data integrity. Staying current with SAS updates and utilizing available documentation can further improve efficiency and problem-solving.

What is the difference between Sas Programmer vs Data Analyst?

AspectSas ProgrammerData Analyst
Required SkillsProficiency in SAS programming, data manipulation, and statistical analysisData visualization, statistical analysis, and reporting skills
Work EnvironmentOften in healthcare, finance, or pharmaceutical industriesAcross various industries including marketing, finance, and healthcare
CertificationsSAS Certified Data Scientist or Base ProgrammerNone specific, but certifications like CAP or Microsoft Data Analyst are common

While both roles involve working with data, Sas Programmers primarily focus on developing and maintaining SAS code for data analysis, whereas Data Analysts often use a broader range of tools and focus on interpreting data to inform business decisions. Sas Programmers typically work in environments requiring advanced statistical programming, while Data Analysts may handle data visualization and reporting across diverse industries.

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. Strong skills in SAS, along with knowledge of data management and statistical analysis, can improve job prospects, especially as data-driven decision-making grows across sectors.
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Sas Programmer jobs near you
Infographic showing various Sas Programmer job openings in Frederick, MD as of August 2026, with employment types broken down into 53% Full Time, 46% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $101,345 per year, or $48.7 per hour.

Data Engineer AWS - US Citizens

FRACSYS INC

Leesburg, VA • On-site

$120K/yr

Full-time

Re-posted 13 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

Bachelor’s degree in computer science, Data Analytics, Information Systems, or a related degree or equivalent experience. Master’s degree is preferred.