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Sas Data Integration Jobs (NOW HIRING)

Build and manage data integration workflows using SAS Data Integration Studio * Perform data extraction, transformation, merging, and cleansing activities * Conduct data quality checks and ensure ...

Demonstrated ability to perform as SAS developer using SAS Enterprise Data Integration (EDI) Studio or SAS Data Integration Studio(DI) Experience in extracting, transforming and loading source data ...

Demonstrated ability to perform as SAS developer using SAS Enterprise Data Integration (EDI) Studio or SAS Data Integration Studio(DI) Experience in extracting, transforming and loading source data ...

Demonstrated ability to perform as SAS developer using SAS Enterprise Data Integration (EDI) Studio or SAS Data Integration Studio(DI) Experience in extracting, transforming and loading source data ...

Required : • SAS Office Analytics • SAS Enterprise Guide • SAS Data Integration Studio • SAS Cost and Profitability Management with strong Finance Domain Knowledge • Experience supporting ...

Company Description USM Business Systems Inc. is a quickly developing worldwide System Integrator ... SAS Data Analyst Location: McLean, VA Duration: 6 -12 Months+ Experience:10+ Years| Qualification:

Experience implementing security controls to protect sensitive data processed through the SAS server. * Experience in integrating SAS Server with an identity and access management system using SAML ...

Excellent technical skills in SAS system and application development. SDTM. * Proven experience in ... Primary Skill Microsoft Data Integration Tools Qualifications * Bachelor's degree or foreign ...

Excellent technical skills in SAS system and application development. SDTM. * Proven experience in ... Primary Skill Microsoft Data Integration Tools Qualifications Basic Qualifications :- * Bachelor ...

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Sas Data Integration information

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$84

How much do sas data integration jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for sas data integration in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.

What are some common challenges faced by SAS Data Integration professionals when working with large-scale data migration projects?

SAS Data Integration professionals often encounter challenges such as ensuring data quality and consistency when migrating large volumes of data across multiple platforms. Managing discrepancies in source and target data formats, optimizing ETL (Extract, Transform, Load) processes for performance, and minimizing downtime during migration are frequent concerns. Collaborating closely with business analysts, database administrators, and IT teams is crucial to address these issues and ensure a smooth, accurate transition. Staying up to date with SAS tools and best practices is also important for overcoming these challenges.

What kind of jobs use SAS?

SAS is widely used in data analysis, statistical modeling, and business intelligence roles such as data analysts, data scientists, and statisticians. These jobs often require proficiency in SAS programming, data management, and reporting tools to analyze large datasets and support decision-making processes.

How to become a data integration specialist?

To become a data integration specialist, one typically needs a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data integration tools like Informatica, Talend, or Apache NiFi, along with knowledge of SQL and data modeling, is essential. Certifications such as Certified Data Management Professional (CDMP) can also enhance job prospects.

What are SAS integration technologies?

SAS integration technologies refer to tools and methods used to connect SAS software with other systems and data sources. These include SAS Data Integration Studio, SAS Data Loader, and APIs that enable data exchange, automation, and workflow management within enterprise environments. Proficiency in SQL, scripting, and data management concepts is often required for effective integration.

What is the difference between Sas Data Integration vs Sas Data Analyst?

AspectSas Data IntegrationSas Data Analyst
Required CredentialsProficiency in SAS, SQL, data management certificationsProficiency in SAS, data analysis certifications, SQL
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Employer & Industry UsageData integration, ETL processes in various industriesData analysis, reporting in finance, healthcare, retail

Sas Data Integration specialists focus on designing and implementing data pipelines and ETL processes, ensuring data is clean and accessible for analysis. Sas Data Analysts interpret data, create reports, and support decision-making. While both roles require SAS skills, Data Integration emphasizes data management and engineering, whereas Data Analysis centers on insights and reporting.

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

To thrive as a SAS Data Integration Specialist, you need strong skills in data management, ETL processes, and expertise in SAS programming, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with SAS Data Integration Studio, SQL, and other data warehousing tools is essential, and certifications like SAS Certified Data Integration Developer can be highly beneficial. Attention to detail, problem-solving abilities, and effective communication are key soft skills for collaborating with stakeholders and ensuring data accuracy. These skills are crucial for efficiently managing complex data workflows and delivering reliable business intelligence solutions.

What skills are needed for data integration?

Data integration professionals need strong skills in SQL, data modeling, and ETL (Extract, Transform, Load) tools such as Informatica or Talend. Knowledge of scripting languages like Python or Bash, understanding of database systems, and familiarity with data warehousing concepts are also important for effective data integration tasks.

What is SAS Data Integration and what does a SAS Data Integration Developer do?

SAS Data Integration refers to the process of consolidating, transforming, and managing data from multiple sources using SAS tools. A SAS Data Integration Developer is responsible for designing, building, and maintaining data integration jobs and workflows within the SAS environment. Their main duties include extracting data from various sources, transforming it to meet business requirements, and loading it into data warehouses or other storage systems. They also ensure data quality, optimize performance, and support reporting and analytics needs. This role often collaborates with business analysts, database administrators, and other IT professionals to deliver reliable and efficient data solutions.
More about Sas Data Integration jobs
What job categories do people searching Sas Data Integration jobs look for? The top searched job categories for Sas Data Integration jobs are:
Infographic showing various Sas Data Integration job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.
SAS Developer

Full-time

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


Job description

1) 2+ years of experience with SAS Data Integration Studio (SAS DI Studio)
2) 5+ years of programming experience in an applications development or consulting environment utilizing SAS.
3) 2+ years of SAS Data Management Studio

Project/Role Overview: Like the positions on this team, these roles will also be dealing with their Marketing Data Warehouse and Marketing data.
The goal of this project is for the DataMart to be ran more efficiently. When prospect data is collected, SAS scores that data in order to determine where that data should go (i.e.; someone clicking on a website versus someone opening a targeted email, etc.). They want to take this scored data and decrease the time it takes for it to get to the sales team. This SAS Developer will rewrite and/or write new SAS code to get "as close to" real time data to sales people based on peoples' behavior.
Top Skills: 1. SAS Data Integration Solutions (DI)
2. SAS Data Management Studio (DM)
3. Data Warehouse knowledge
The learning curve for someone who only has basic SAS batch skills and no DI/DM will be too large for what they need out of this individual.
Team Culture: The manager has 5 direct reports; 2 of those managers oversee 7 people each. Tech PMs and one Web Tester. One of these managers are a SAS Manager who these Java and SAS individuals will report to. The team is very senior. They are very good at what they do, and have each other's backs. They are very organized; these contractors will come in with clear direction of what they need to do. If someone does feel overwhelmed, they expect her managers to step in and figure out how to alleviate any issues with that individuals. The team uses Jira and Confluence to manage their project, create clear project plans and track deadlines.