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Senior Microsoft Data Engineer Jobs in Arizona (NOW HIRING)

Data Engineer II

Tempe, AZ ยท On-site

$111K - $133K/yr

Apply data modeling patterns and standards set by senior engineers, contributing your perspective to pipeline design discussions. * Guide junior engineers: Help onboard and mentor Data Engineer I ...

New

Data Engineer II

Tempe, AZ ยท On-site

$111K - $133K/yr

Apply data modeling patterns and standards set by senior engineers, contributing your perspective to pipeline design discussions. * Guide junior engineers: Help onboard and mentor Data Engineer I ...

New

Data Engineer II

Tempe, AZ ยท On-site

$111K - $133K/yr

Apply data modeling patterns and standards set by senior engineers, contributing your perspective to pipeline design discussions. * Guide junior engineers: Help onboard and mentor Data Engineer I ...

New

Senior Data Engineer (8934)

Phoenix, AZ

$100K - $136K/yr

The Senior Data Engineer plays a critical role within the Business Intelligence team, designing, building, and maintaining scalable data architecture and data integration solutions that support ...

Senior Data Engineer (8934)

Phoenix, AZ ยท On-site

$100K - $136K/yr

The Senior Data Engineer plays a critical role within the Business Intelligence team, designing, building, and maintaining scalable data architecture and data integration solutions that support ...

Google Cloud Platform Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Senior Level Job Overview Our client is seeking a Senior Google Cloud Platform Data Engineer to join their growing data team in Phoenix, AZ. This is a long-term contract engagement where you will ...

Data Engineer

Phoenix, AZ ยท On-site

$113K - $136K/yr

Job Summary The Data Engineer will be responsible for design and development of ETL. The role will ... Ability to function in a multi-system Microsoft environment using Word, Outlook, TriWest Intranet ...

Data Engineer II (ICP)

Scottsdale, AZ ยท On-site

$110 - $145/hr

Data Engineer II works closely with the business and translates the requirements into technical ... Unified Catalog or Microsoft Purview, will be highly valued and differentiated.ESSENTIAL ...

Data Center Program Manager

Phoenix, AZ ยท On-site

$118K - $186K/yr

Overview As a Microsoft Data Center Program Manager (DCPM) , you will perform troubleshooting for ... Engineering, or related field. * Applicable certifications: ASICS/Inventory Control, CompTIA ...

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it's leading ...

Senior Data Engineer / Data Curator

Phoenix, AZ ยท On-site

$130K - $177K/yr

Senior Data Engineer / Data Curator A job at TSMC Arizona offers an opportunity to work at the most advanced semiconductor fab in the United States. TSMC Arizona's first fab will operate it's leading ...

Data Engineer II (ICP)

Scottsdale, AZ ยท Hybrid

$115K - $138K/yr

Data Engineer II works closely with the business and translates the requirements into technical ... or Microsoft Purview, will be highly valued and differentiated. ESSENTIAL FUNCTIONS * Code, test ...

Showing results 41-60

Senior Microsoft Data Engineer information

What is a senior Microsoft data engineer?

A Senior Microsoft Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and Azure Synapse Analytics. They are responsible for developing data pipelines, optimizing data storage, and ensuring the integrity and security of data systems. In addition to technical expertise, they often lead teams, mentor junior engineers, and collaborate with other departments to deliver business intelligence and analytics solutions. Their work helps organizations make data-driven decisions by providing accessible, reliable, and well-structured data.

What are some common challenges senior Microsoft data engineers face when integrating data from multiple sources?

Senior Microsoft Data Engineers often encounter challenges related to data consistency, compatibility, and scalability when integrating data from various sources. Ensuring that disparate data formats and schemas align with the organization's data models can require extensive data transformation and mapping. Additionally, managing data quality and real-time synchronization across platforms like SQL Server, Azure Data Factory, and Power BI are crucial for reliable analytics. Collaborating closely with business analysts and software developers is key to overcoming these challenges and delivering robust data solutions.

What are the key skills and qualifications needed to thrive as a senior Microsoft data engineer, and why are they important?

A Senior Microsoft Data Engineer requires deep expertise in data modeling, SQL, ETL processes, and strong proficiency in Microsoft data platforms such as Azure SQL Database and Synapse Analytics, usually backed by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Power BI, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Outstanding problem-solving abilities, communication skills, and the ability to collaborate across teams are crucial soft skills. These competencies ensure robust, scalable data solutions that support business intelligence, operational efficiency, and informed decision-making.

What are the most commonly searched types of Microsoft Data Engineer jobs in Arizona?

The most popular types of Microsoft Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Senior Microsoft Data Engineer jobs?

Cities in Arizona with the most Senior Microsoft Data Engineer job openings:

Data Engineer II

Personify Health

Tempe, AZ โ€ข On-site

$111K - $133K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 2 days ago

New


Job description

Who We Are

Because health is personal. That's why Personify Health created the first and only personalized health platformโ€”bringing health plan administration, holistic wellbeing solutions, and comprehensive care navigation together in one place. We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes. Together, our team is on a mission to empower people to lead healthier lives.

Learn even more about the work that drives us at personifyhealth.com.


Ready to build the data infrastructure that keeps healthcare claims moving?

Why This Role Matters

Every claim, eligibility check, and provider record that flows through our systems depends on pipelines that work โ€” every time, without exception. As a Data Engineer II, you're the person who builds and maintains that backbone, turning raw healthcare and TPA data into clean, reliable information that analysts, business teams, and ultimately our clients and members can count on. When a pipeline breaks or data goes bad, real people feel it โ€” a claim gets delayed, a report goes out wrong, a decision gets made on bad numbers. Your work closing that gap between messy source data and trustworthy systems is what lets the rest of the organization move fast with confidence. Get the pipelines right, and you're not just moving data โ€” you're moving outcomes for the members and clients who rely on us.

What You'll Actually Do

  • Build ETL/ELT pipelines: Design and maintain pipelines that ingest and transform healthcare and TPA data โ€” including claims, provider, and eligibility sources โ€” turning raw feeds into usable, trustworthy data sets.
  • Orchestrate and monitor workflows: Develop, schedule, and monitor pipelines using Airflow, CloudWatch, ECS, and DAGs, following established CI/CD, observability, and governance practices to keep data flowing reliably.
  • Develop data applications: Build workflows and applications using Python, SQL, and Django, working across PostgreSQL, Oracle, and cloud-native databases to power downstream reporting and analysis.
  • Support core healthcare data processes: Manage EDI file transfers, claims adjudication support, audits, and reporting workflows that keep compliance and operations on track.
  • Own data extraction and documentation: Extract, cleanse, and load new data sets, investigating and documenting source systems so the team always knows what it's working with.
  • Translate requirements into solutions: Partner with Data Analysts, Data Scientists, Product, Reporting, and Account Management to turn business needs into working data pipelines.
  • Safeguard data quality and compliance: Implement quality assurance rules and automated validation that keep data accurate, complete, and secure under HIPAA and CMS regulations.
  • Troubleshoot and resolve pipeline issues: Monitor pipeline health, triage incoming bugs and incidents, and resolve data flow issues โ€” escalating complex architectural problems to senior engineers when needed.
  • Contribute to data modeling decisions: Apply data modeling patterns and standards set by senior engineers, contributing your perspective to pipeline design discussions.
  • Guide junior engineers: Help onboard and mentor Data Engineer I team members, sharing what you learn so the whole team levels up.
  • Automate routine work: Build automation for repetitive operational workflows and reporting, cutting out manual busywork wherever possible.

 


What You Bring to Our Team

 

Education & Experience:

  • Bachelor's degree in computer science, information systems, or a related field, or equivalent experience
  • 3+ years in data engineering or analytics engineering, ideally within TPA, healthcare, insurance, or claims processing
  • 1+ years in system/data analysis or process improvement
  • 1+ years in the healthcare industry preferred
  • AWS Certification preferred: AWS Certified Cloud Practitioner, Developer โ€“ Associate, or Data Engineer โ€“ Associate

Technical Skills:

  • Proficient in Python and SQL, including complex queries (pivots, window functions, date calculations)
  • Hands-on experience with orchestration tools (Airflow), containers (Docker), and CI/CD pipelines
  • Exposure to healthcare EDI transactions (834, 835, 837, 2222, 2223, 999) preferred
  • Exposure to data files like OMS or HL7, or ability to parse delimited files into a database using Python scripting
  • Familiarity with REST APIs, JSON, and non-relational data models, including converting that data into relational models
  • Experience with JIRA, BitBucket Git, and BitBucket Pipelines
  • Proficient in Excel; familiar with analytical tools like Tableau, Power BI, or MicroStrategy
  • Solid understanding of data modeling concepts (star/snowflake schemas, dimensional modeling) and relational vs. non-relational models
  • Working knowledge of AWS services (S3, Glue, EC2, MWAA, Lambda, ECS) a plus; Infrastructure as Code (Terraform) a plus
  • Experience with relational databases (PostgreSQL, Oracle, AWS RDS); exposure to modern data warehouses (Snowflake, Redshift) a plus
 
 

Benefits

 

The Highlights:

  • Competitive base salary and benefits effective day one
  • Comprehensive medical and dental through our own health solutions (yes, we use what we build)
  • Unlimited PTOโ€”rest and recharge time is non-negotiable
  • Mental health support, retirement planning, and financial protection
  • Professional development with clear career progression and learning budgets
  • Mission-driven culture where diverse perspectives drive real impact on people's health

Want the full picture? Visit personifyhealthbenefits.com to explore our complete benefits package, wellness programs, and other employee perks.


Compensation: This position offers a competitive base salary that varies based on location, skills, and experience.

You're eligible for our full benefits package starting day one.

Our Commitment: Personify Health is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thriveโ€”because diversity is core to who we are and critical to our work in health and wellbeing.

Stay Safe: Personify Health will never ask for payment or sensitive personal information like social security numbers during hiring. All official communication comes from verified company email addresses and or our secure applicant tracking system. Suspicious requests? Report them to talent@personifyhealth.com. View all legitimate openings at personifyhealth.com/careers.