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Entry Level Sas Programmer Jobs in Boston, MA (NOW HIRING)

Amaris Consulting

Senior Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

Validate statistical and machine learning outputs by comparing Python-generated results with SAS ... entry level * A strong training system with our internal Academy and more than 250 modules ...

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Entry Level Sas Programmer information

See Boston, MA salary details

$15

$53

$86

How much do entry level sas programmer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for entry level sas programmer in Boston, MA is $53.24, according to ZipRecruiter salary data. Most workers in this role earn between $37.36 and $66.88 per hour, depending on experience, location, and employer.

What types of projects and data sets do entry level SAS programmers typically work with, and how do they fit within a larger project team?

Entry level SAS programmers often work with large datasets related to healthcare, finance, or marketing, performing data cleaning, transformation, and basic statistical analyses. They usually support senior analysts or statisticians by preparing data, generating summary tables, and ensuring data accuracy. Collaboration with data managers, statisticians, and project coordinators is common, as tasks are typically part of broader studies or business initiatives. This environment provides excellent opportunities to learn best practices in data management, programming, and teamwork while building a foundation for more advanced analytical roles.

What Does an Entry-Level SAS Programmer Do?

An entry-level SAS programmer works with a team of individuals to develop and maintain a data management platform and its advanced analytics for an organization. Your duties in this career involve the collection of data and the development of its statistical analysis system to get the desired information and determine its implications for the decision makers of a business. The SAS software suite uses a proprietary programming language to accomplish these tasks. Other responsibilities include testing scripts and using code libraries to streamline the processes. You also update the existing framework as necessary.

What are the key skills and qualifications needed to thrive as an Entry Level SAS Programmer, and why are they important?

To thrive as an Entry Level SAS Programmer, you need a solid understanding of statistics, programming logic, and a bachelor’s degree in a related field such as computer science, mathematics, or statistics. Familiarity with SAS software, data management tools, and basic database systems is typically required, and SAS certification can be an advantage. Attention to detail, analytical thinking, and effective communication are valuable soft skills that help you interpret data and collaborate with project teams. These skills ensure accurate data analysis, clear reporting, and successful project outcomes in data-driven environments.

What are Entry Level SAS Programmers?

Entry Level SAS Programmers are professionals who use the SAS (Statistical Analysis System) software to manage, analyze, and interpret data, often in industries like healthcare, finance, and research. They are typically recent graduates or individuals with minimal experience in SAS programming. Their responsibilities include writing basic SAS code, cleaning and preparing datasets, generating reports, and supporting senior analysts or statisticians. Entry level SAS Programmers play a crucial role in ensuring data quality and supporting data-driven decision-making within an organization.
More about Entry Level Sas Programmer jobs
What are the most commonly searched types of Sas Programmer jobs in Boston, MA? The most popular types of Sas Programmer jobs in Boston, MA are:
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What cities near Boston, MA are hiring for Entry Level Sas Programmer jobs? Cities near Boston, MA with the most Entry Level Sas Programmer job openings:
Entry Level Sas Programmer jobs near you
Infographic showing various Entry Level Sas Programmer job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,730 per year, or $53.2 per hour.

Senior Data Engineer

Amaris Consulting

Cambridge, MA • On-site

$115K - $157K/yr

Other

Posted 10 days ago

Job description

We are looking for a Senior Data Engineer to join a multidisciplinary team focused on healthcare data engineering, analytics, and AI-driven solutions. In this role, you will work with large-scale physiological, medical device, and electronic medical record (EMR) datasets to support data quality, predictive modeling, and advanced analytics initiatives.

You will collaborate with data scientists, software engineers, biomedical specialists, and IT teams to ensure reliable data pipelines, investigate data integrity issues, and contribute to the development and validation of machine learning models.


Location

Cambridge, Massachusetts, USA (On-site)


Key Responsibilities

  • Retrieve, explore, and analyze data stored in Amazon S3 using AWS Athena and Amazon SageMaker.
  • Perform data wrangling by identifying missing data, time synchronization issues, anomalies, and measurement artifacts.
  • Transform and parse CSV and XML datasets into scalable databases such as InfluxDB.
  • Develop and maintain batch processing workflows using Python and Bash to inventory, process, and validate incoming device data.
  • Investigate data quality issues through Athena, SageMaker, and Jupyter Notebooks to identify problems related to data curation, system configuration, storage, or performance.
  • Troubleshoot data transfer and collection issues in collaboration with biomedical teams, IT stakeholders, and internal engineering teams.
  • Analyze physiological, vital sign, and EMR datasets to support predictive analytics and AI/ML model development.
  • Validate statistical and machine learning outputs by comparing Python-generated results with SAS analyses produced by biostatistics teams.
  • Simulate retrospective healthcare datasets using a Virtual Hospital Simulator to evaluate and test surveillance algorithms.
  • Contribute to continuous improvements in data engineering processes, data quality, and analytical workflows.


Required Qualifications

  • 7–10 years of experience in Data Engineering, Data Analytics, or a related technical field.
  • Strong proficiency in Python for data processing and automation.
  • Experience with AWS services, particularly Amazon S3, Athena, and SageMaker.
  • Experience working with Jupyter Notebooks.
  • Solid understanding of ETL processes, data transformation, and data validation.
  • Experience handling structured and semi-structured data formats, including CSV and XML.
  • Familiarity with batch scripting using Bash.
  • Strong analytical and troubleshooting skills with a focus on data quality and integrity.
  • Experience working with SQL and large datasets.
  • Excellent communication and collaboration skills in cross-functional environments.


Nice to Have

  • Experience with InfluxDB or other time-series databases.
  • Knowledge of AI/ML workflows and predictive analytics.
  • Experience working with physiological, medical device, or EMR data.
  • Familiarity with SAS and statistical validation processes.
  • Experience in the healthcare, medical technology, or life sciences industry.
  • Exposure to biomedical data analysis or clinical data environments.


Why choose us

  • An international community bringing together more than 110 different nationalities
  • An environment where trust is central: 70% of our leaders started their careers at the entry level
  • A strong training system with our internal Academy and more than 250 modules available
  • A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)


Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.


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