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Senior Sas Developer Jobs in Arizona (NOW HIRING)

Amazon

Business Analyst II - AMZ27049.1

Tempe, AZ · On-site

$75K - $130K/yr

Support senior management by managing metrics reporting and performing data mining and big data ... SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data ...

Western Alliance Bank

Model Risk Analyst

Phoenix, AZ · On-site

... SR 26 (including evaluating conceptual soundness, reviewing ongoing monitoring plans and reports ... programming skills. * Intermediate to Advanced experience with Python, R, or SAS, with hands-on ...

Synchrony Financial

VP, Amazon Analytics

Phoenix, AZ · On-site

... SAS, SQL, Python and/or R * 3+ years leading large-scale analytics projects * 1+ year in a client ... Degree in a quantitative field (e.g., Statistics, Engineering, Economics, Mathematics) preferred ...

Synchrony Financial

AVP, Model Validation

Phoenix, AZ · On-site

$100K - $170K/yr

... 12/SR 11-7). This role requires high level of expertise with minimal technical supervision ... SAS, SQL, SPARK, Data Lake, H2O, SageMaker and AWS. * 4+ years of statistical analysis and the ...

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Senior Sas Developer information

See Arizona salary details

$40

$61

$78

How much do senior sas developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for senior sas developer in Arizona is $61.02, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $69.42 per hour, depending on experience, location, and employer.

What are some common challenges faced by senior SAS developers when working on large-scale data projects?

Senior SAS Developers often encounter challenges such as managing complex data integration tasks, optimizing code for performance with large data sets, and ensuring data quality and security. Collaborating with cross-functional teams—like data analysts, business stakeholders, and IT staff—requires strong communication skills to translate business requirements into efficient SAS solutions. Additionally, staying updated with new SAS features and regulatory compliance standards can be crucial for delivering successful outcomes.

What is the difference between Senior Sas Developer vs Data Analyst?

AspectSenior Sas DeveloperData Analyst
Required CredentialsBachelor's in Computer Science or related field, SAS certificationsBachelor's in Statistics, Data Science, or related field, often with SAS or SQL certifications
Work EnvironmentDevelops and maintains SAS programs, works in IT or analytics teamsAnalyzes data, creates reports, collaborates with business units
Industry UsageFinance, healthcare, pharmaceuticals, and tech companiesRetail, marketing, finance, healthcare, and consulting firms

While both roles involve working with data and SAS tools, a Senior SAS Developer primarily focuses on developing and maintaining SAS applications and programs, often within IT teams. In contrast, a Data Analyst interprets data, creates reports, and provides insights to support business decisions. The roles overlap in data handling and SAS knowledge but differ in scope and primary responsibilities.

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

To thrive as a Senior SAS Developer, you need advanced proficiency in SAS programming, data analysis, and statistical modeling, often supported by a degree in computer science, statistics, or a related field. Expertise in SAS Base, SAS Macro, SQL, and familiarity with data management tools and platforms like Teradata or Oracle are typically required, along with relevant certifications such as SAS Certified Advanced Programmer. Strong problem-solving, communication, and leadership skills help you effectively manage projects and collaborate with cross-functional teams. These skills ensure accurate data solutions, efficient process automation, and successful project delivery in complex data environments.

What is a Senior SAS developer?

Senior SAS Developers are experienced professionals who specialize in using SAS (Statistical Analysis System) software to analyze complex data, develop statistical models, and create automated data processing solutions. They often design, program, test, and implement data-driven applications while ensuring data quality and integrity. These roles typically involve collaborating with business stakeholders, mentoring junior developers, and optimizing existing SAS programs for performance and efficiency.
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Senior Sas Developer jobs near you
Infographic showing various Senior Sas Developer job openings in Arizona as of July 2026, with employment types broken down into 86% Full Time, 3% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $126,923 per year, or $61 per hour.

Staff Software Engineer

Equity Methods

Scottsdale, AZ • On-site

Full-time

Re-posted 26 days ago

Job description

Description
Staff Software Engineer
Equity Methods is seeking a Staff Software Engineer to join our Technology and Innovation group. This is a senior individual contributor role for an engineer who thrives at the intersection of financial services domain expertise and applied AI engineering. You will work directly alongside our Python-based financial consultants to analyze how complex equity compensation and valuation workflows operate today - and redesign them as agentic AI workflows with well-placed Human-in-the-Loop (HITL) checkpoints that preserve the rigor and judgment our clients depend on.
This is not a product or infrastructure role. The core of the job is deep collaboration with practitioners who understand the domain, translating that understanding into production AI systems that augment, not replace, expert judgment.
The Role in a Nutshell
  • Embed with financial consulting teams to conduct structured workflow analysis and requirements gathering, mapping how SAS and Python-based financial processes actually work before designing any solution.
  • Identify where AI agents can take over routine, high-volume, or pattern-driven steps in financial workflows, and where human review, approval, or override is non-negotiable.
  • Design and implement agentic AI workflows using Amazon Bedrock and N8N, with HITL checkpoints that route exceptions, edge cases, and judgment-dependent decisions to the appropriate human expert.
  • Build and maintain content vectorization and retrieval-augmented generation (RAG) pipelines that give AI agents access to relevant financial context, including prior work product, regulatory guidance, and client-specific parameters, at runtime.
  • Develop backend services in Python on AWS, with Lambda or FastAPI as the primary compute layers, backed by Postgres, Snowflake and DynamoDB for workflow state management and audit logging of agent decisions, human overrides, and process outcomes.
  • Containerize and deploy agentic services using Docker, maintaining clean separation between workflow components and ensuring deployments are observable, reproducible, and rollback-safe.
  • Build lightweight React interfaces where consultants need to review, approve, or override AI-generated outputs as part of HITL steps.
  • Collaborate with the AI Product Manager on scoping and prioritization, and with the Distinguished Software Engineer on architecture decisions that span multiple workflow systems.
  • Hold yourself accountable for adoption, not just delivery. Measure impact by whether consultants are actually using what you built, whether it saves them time, and whether they come back asking for more.
  • Participate in production ownership of deployed agentic workflows: monitoring agent behavior, catching drift or failure modes, and iterating quickly.

We Are:
  • Zealous about exceptional client service and internal collaboration.
  • Agile and execution-focused , with a bias toward action and impact.
  • Growth-oriented and committed to professional development.
  • Feedback-heavy and mentoring-rich , with a culture of continuous improvement.
  • Eager to solve complex, ambiguous problems with creativity and rigor.
  • Hardworking and passionate about building the future of technology-enabled consulting.

Qualifications & Requirements:
  • 8 - 12 years of software engineering experience, with meaningful time spent consulting, working directly with domain experts or business practitioners rather than within a pure product engineering organization.
  • Demonstrated ability to conduct structured requirements gathering and workflow analysis with non-technical stakeholders - producing precise technical specifications without requiring an intermediary.
  • Desire to learn to design and implement agentic AI systems, including multi-step agent orchestration, tool use, and Human-in-the-Loop workflow design.
  • Understanding of LLMs in a production context: prompt engineering, retrieval-augmented generation (RAG), and content vectorization using embedding models (e.g., Amazon Titan, Knowledge Base, PGVector, Elasticsearch, or equivalent).
  • Strong proficiency in backend service development. Python familiarity is a plus but not required. Expertise in at least one of these languages: Python, Java, Kotlin, Groovy.
  • Hands-on experience with AWS Lambda as a primary compute pattern, along with DynamoDB, API Gateway, S3, and IAM. Familiarity with Amazon Bedrock or equivalent managed LLM infrastructure is preferred.
  • Working knowledge of N8N, UI Path or comparable workflow automation tooling; willingness to become the internal subject-matter expert in N8N or selected workflow platform is expected.
  • Working knowledge of React is sufficient to build consultant-facing HITL review and approval interfaces.
  • Comfort operating in an environment where the problem definition evolves as domain understanding deepens - judgment and communication matter as much as execution speed. MBA or Finance degree helpful but not required.
  • Background check required.

About Equity Methods
Equity Methods is a financial services consulting firm specializing in stock-based equity compensation and other complex financial reporting and valuation services. We deliver impact-rich engagements across three core practice groups: financial reporting, valuation services, and HR advisory.
With over 125 professionals and experience with over 1,000 publicly traded clients (including 50 Fortune 100 companies), Equity Methods combines the best traits of an industry-leading professional services firm with the best of an entrepreneurial, technology-enabled company. We have consistently been rated a Top Company to Work for in Arizona .

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