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Remote Sas Sales Jobs (NOW HIRING)

Infinite Resource Solutions

Resident Consultant

Resident Consultant Overview This is a technical role providing post-sales REMOTE support of ... SAS. R/Spark on Hadoop preferred. Strong experience in Azure, AWS and GCP Practiced in Tableau ...

Apptad, Inc.

Insurance Lead (P&C)

United States (Remote) Job Type: Full-Time ### Position Overview We are seeking a dynamic and ... Partner with sales and business development teams to identify new opportunities, contribute to ...

Archera

GTM Enablement Manager

Seattle, WA · Remote

... sellers and SAs) - and deliver the mix of live sessions, workshops, and self-serve tracks that gets ... Remote-first culture * Opportunity to shape and scale a category-defining FinTech platform

Artemis Connection

Psychometrician (Remote)

Seattle, WA · Remote

$90K - $120K/yr

Bespoke Innovation, Sales, and Marketing Strategy * Purpose-driven Transformation * Embedded ... Proficiency with statistical software (e.g., R, SPSS, SAS, Python) and psychometric-specific tools ...

TEKsystems

Solutions Architect

Hanover, MD · Remote

$125K - $190K/yr

This is a fully remote position. The Solution Architect (SA) is a technical professional ... To this end, the SAs are responsible for Service Line ownership, Service Maturation, and ...

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How much do remote sas sales jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote sas sales in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.
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Remote Sas Sales jobs near you
Infographic showing various Remote Sas Sales job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.

Resident Consultant

Infinite Resource Solutions

Remote

Full-time

Re-posted 10 days ago

Job description

Job Description Resident Consultant Overview This is a technical role providing post-sales REMOTE support of TRIFACTA products and related technologies. As a Resident Consultant, you will develop a reputation as both an Analytics expert and an advisor to your customer. You will be on the front line helping by doing things like implementing, upgrading, migrating, teaching, and optimizing Server configuration and Designer workflows.

Responsibilities Build strong relationships within the client and work with the champions, business partners and technical staff. Provide contribution to Trifacta Center of Excellence (COE) and best practices. Understand data preparation, data visualization, data analytics, and data engineering.

Use professional concepts and objectives to resolve issues in creative and effective ways. Create and deliver best practices recommendations, custom training, Knowledge Base articles and technical presentations adapting to key business and technical stakeholders. Create custom templates (reusable flows and recipes) for re-usable use-cases to accelerate the data preparation process.

Interact with CSM/Trifacta product team on new product features and improvements. Partner with the client's infrastructure team and implement Trifacta platform monitoring routines. Advise and architect on data engineering implementation engagements from concept to operations, providing technical subject matter expertise for successful deployments.

Communicate to executive level audiences in interpersonal and presentation formats. Qualifications A minimum of 7 years of experience in a customer-facing role working with enterprise software solutions 5+ years' experience as a CSM, professional services, pre-sales, technical architect, or delivery manager Strong knowledge of languages such as Python, R, MATLAB, Spark or SAS. R/Spark on Hadoop preferred.

Strong experience in Azure, AWS and GCP Practiced in Tableau, Power BI or another visualization tool. Fluency in big data platforms including Hadoop, MapReduce, Hive, Spark A strong understanding of data profiling and data cleansing techniques Involvement in building and rolling out product COEs at enterprise customers. Experience in running internal POCs from evaluation to successful exit criteria.

Exercises judgment in methods, techniques, and evaluation criteria for obtaining results. Ability to leverage business acumen and subject matter expertise. Significant experience leading Technical Delivery of Enterprise Data management projects.

Expert level database and data management skills Significant and recent technical experience with Big Data, ETL/ELT Architecture.

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