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Sr Database Engineer Jobs in Arizona (NOW HIRING)

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

Position Profile The Senior Data & AI Engineer will need to have deep hands‑on experience in Snowflake, Microsoft Fabric (incl. OneLake), and healthcare data ecosystems. The ideal candidate ...

CNA National Warranty Corp

Senior Data Engineer

Scottsdale, AZ · On-site

$106K - $144K/yr

We are seeking a Senior Data Engineer with the technical expertise, architectural insight, and problem-solving skills to design, build, and maintain our modern data platform. The ideal candidate will ...

Posted today

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ

$101K - $137K/yr

As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes ... Fluency in SQL and NoSQL databases with understanding of data modeling and optimization techniques.

Hospice of the Valley

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

Position Profile The Senior Data & AI Engineer will need to have deep handson experience in Snowflake, Microsoft Fabric (incl. OneLake), and healthcare data ecosystems. The ideal candidate ...

Intel

Senior AI / Data Science Engineer

Phoenix, AZ

$105K - $143K/yr

As a Senior AI / Data Science Engineer in the MDCE Data Science organization, you will play a critical role in shaping the future of AI-driven semiconductor manufacturing. You will lead the ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes ... Fluency in SQL and NoSQL databases with understanding of data modeling and optimization techniques.

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes ... Fluency in SQL and NoSQL databases with understanding of data modeling and optimization techniques.

Terros Health

Senior Data Engineer - Central

Phoenix, AZ · On-site

$105K - $143K/yr

The Senior Data Engineer will design, build, and maintain scalable data architecture and data integration solutions to support clinical and operational initiatives, ensuring high data quality and ...

Gen Digital

Senior Data Engineer

Tempe, AZ · On-site

$101K - $137K/yr

TBD Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color ...

Gen

Senior Data Engineer

Tempe, AZ

$101K - $137K/yr

TBD Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color ...

Do not use

Senior Python Software Engineer

Phoenix, AZ · On-site

$75K - $88K/yr

Senior Python Software Engineer Location: Vilnius, Lithuania (Hybrid) Department: Innovation ... Develop web application using Python and React with MySQL Databases. * Engineer solutions in AWS ...

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Showing results 41-60

All JobsSr Database Engineer JobsSr Database Engineer Jobs in Arizona

Sr Database Engineer information

See Arizona salary details

$75.5K

$117.7K

$163.1K

How much do sr database engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for sr database engineer in Arizona is $117,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $134,200.00 per year, depending on experience, location, and employer.

What are some common challenges Sr database engineers face when managing large-scale database systems?

Sr Database Engineers often encounter challenges such as ensuring data integrity and security across complex, distributed systems, optimizing database performance under heavy workloads, and planning for scalability as data volumes grow. They must also manage regular backups, disaster recovery plans, and stay updated with evolving database technologies. Collaboration with development, DevOps, and security teams is essential to address these challenges and maintain seamless data operations.

What is the difference between Sr Database Engineer vs Database Administrator?

AspectSr Database EngineerDatabase Administrator
CredentialsBachelor's/Master's in CS, SQL certificationsBachelor's in CS or related, SQL certifications
Work EnvironmentDesign, develop, optimize databases, often in development teamsMaintain, monitor, and troubleshoot databases in production
Industry UsageUsed across tech, finance, healthcare for database developmentCommon in enterprise, IT departments for database management
Search/Comparison IntentFocus on database design and development skillsFocus on database maintenance and support skills

The Sr Database Engineer primarily focuses on designing and developing databases, ensuring optimal performance and scalability. In contrast, a Database Administrator manages and maintains existing databases, ensuring their security, availability, and integrity. Both roles require similar credentials and are vital in organizations that rely heavily on data management.

What is a Sr database engineer?

Sr Database Engineers are experienced professionals responsible for designing, implementing, maintaining, and optimizing complex database systems for organizations. They ensure data integrity, security, and availability, often working with large-scale databases and advanced technologies. Their role includes troubleshooting performance issues, developing backup and recovery strategies, and collaborating with developers and IT teams to support data-driven applications. Sr Database Engineers also help define best practices and mentor junior staff.

What are the key skills and qualifications needed to thrive as a Sr database engineer?

To thrive as a Sr Database Engineer, you need advanced knowledge of database design, optimization, and management, typically supported by a degree in computer science or a related field and several years of experience. Expertise in database platforms (like SQL Server, Oracle, or MySQL), proficiency with scripting languages, and certifications such as Microsoft Certified: Azure Database Administrator Associate or Oracle Certified Professional are highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate with stakeholders and address complex data challenges. These skills ensure the reliability, security, and scalability of critical data systems that support business operations.
What cities in Arizona are hiring for Sr Database Engineer jobs? Cities in Arizona with the most Sr Database Engineer job openings:
Sr Database Engineer jobs near you
Infographic showing various Sr Database Engineer job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $117,724 per year, or $56.6 per hour.

Senior Data & AI Engineer

Hospice of the Valley

Phoenix, AZ • On-site

$100K - $136K/yr

Full-time

PTO

Re-posted 17 days ago

Hospice Of The Valley (Arizona) rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

12th of 44 rated hospices

Job description

Join Arizona's largest, most prominent not-for-profit hospice, serving the valley since 1977.
Hospice of the Valley is a national leader in hospice care and has been serving the Phoenix metropolitan area since 1977. A mission-driven, not-for-profit organization, Hospice of the Valley employs compassionate, skilled professionals who are committed to excellence, enjoy teamwork, and contribute daily to our mission and culture of caring. Team members experience a friendly, supportive atmosphere, leadership support, autonomy, flexibility, and the privilege of doing meaningful, rewarding work.
Benefits:
  • Supportive work environment with a culture of caring for patients and one another.
  • Competitive wages and excellent benefit program.
  • Generous Paid Time Off.
  • Flexible schedules for work/life balance.

Position Profile
The Senior Data & AI Engineer will need to have deep hands‑on experience in Snowflake, Microsoft Fabric (incl. OneLake), and healthcare data ecosystems. The ideal candidate understands data modeling, data integration, and data transformation across structured and unstructured sources, and can build machine learning pipelines that operate on claims and clinical data. You'll design secure, scalable data platforms; map and normalize data across payers, providers, CMS datasets, EHR systems, and HIEs; and operationalize AI tools to drive measurable outcomes in cost, quality, and member/patient experience.
Responsibilities
Data Platform Engineering
  • Architect, implement, and optimize data solutions in Snowflake and Microsoft Fabric (incl. OneLake, Lakehouses, Warehouses, and Data Engineering pipelines).
  • Build robust ingestion frameworks for batch and streaming data (e.g., ADLS, EventHub, APIs, SFTP) with lineage and governance.
  • Manage data security, privacy, and compliance (HIPAA/PHI; role‑based access, masking, tokenization, de‑identification).

Data Modeling & Integration
  • Design conceptual/logical/physical models (normalized, dimensional/star, data vault where appropriate).
  • Implement data mapping and transformations for structured (claims, eligibility, provider, enrollment) and unstructured (clinical notes, PDFs) data.
  • Harmonize healthcare data using FHIR/HL7/C‑CDA, X12/EDI 837/835, NCPDP, and CMS standards; reconcile and link records across EHR and HIE sources.

Analytics & Machine Learning
  • Build ML pipelines for risk stratification, cost/utilization forecasting, fraud/waste/abuse detection, quality measure computation (e.g., HEDIS), and care gap identification.
  • Operationalize models with MLOps (experiment tracking, reproducibility, CI/CD, monitoring, drift detection).
  • Leverage LLMs/AI tools for data quality, entity resolution, summarization, and clinical insights-ensuring safety, bias checks, and auditability.

Governance & Observability
  • Implement data cataloging, lineage, and metadata (e.g., Microsoft Purview or equivalent).
  • Establish quality SLAs, validation rules, profiling, and automated anomaly detection.
  • Instrument pipelines for cost, performance, and reliability (e.g., Snowflake resource monitors, Fabric capacities).

Collaboration & Delivery
  • Work with product owners, clinicians, actuaries, and analytics teams to translate requirements into scalable solutions.
  • Produce clear documentation, data dictionaries, and mapping specs; mentor engineers and analysts.
  • Contribute to architectural roadmaps, reference patterns, and best practices across the enterprise.

Maintains and enhances professional skills.
Adheres to high standards of personal and professional conduct.
Minimum Qualifications
  • 8+ years in data engineering/analytics; 5+ years hands‑on with Snowflake (compute, storage, virtual warehouses, tasks, streams, Snowpipe, Time Travel, RBAC, row/column masking, data sharing, Dynamic Tables).
  • 2+ years with Microsoft Fabric (including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, Pipelines; capacity management).
  • Strong data modeling expertise (dimensional/star, 3NF, data vault; surrogate keys, SCD types, conformed dimensions).
  • Data integration & transformation proficiency: SQL (advanced), dbt or Fabric Dataflows/Power Query M, ADF/Synapse/Fabric Pipelines, Python for ETL/ELT.
  • Mapping from CMS data (e.g., Medicare datasets, claims/encounters), X12/EDI, FHIR/HL7, provider and eligibility.
  • Experience with structured (tables, CSV, Parquet) and unstructured (clinical notes, PDFs, blobs) data; NLP pipelines (optional but valued).
  • Machine learning: feature engineering, model training/evaluation, and deployment (e.g., scikit‑learn, PyTorch/TensorFlow, Fabric ML/Notebook, Azure ML); production monitoring.
  • Security & compliance: HIPAA, PHI handling, auditing, data residency, BAAs; practical access control in Snowflake/Fabric.
  • Strong communication; ability to author mapping specs, lineage docs, and present trade‑offs to technical and non‑technical stakeholders.

Preferred Qualifications
  • Interoperability: FHIR R4, HL7 v2, X12/EDI (837/835), NCPDP; experience with HIEs and EHR integrations (Epic, Cerner, etc.).
  • CMS & payer/provider data: Medicare fee‑for‑service, MA, Medicaid, CCW, APCD, and quality programs; risk adjustment (HCC), HEDIS measures.
  • MLOps & DevOps: MLflow, DVC, GitHub Actions/Azure DevOps, containerization (Docker), orchestration (Airflow, Fabric Pipelines, or ADF).
  • Governance: Microsoft Purview (catalog, lineage, classifications), data quality tools.
  • Visualization: Power BI and Fabric Direct Lake; semantic modeling and row‑level security.
  • Cloud: Azure (ADLS, Event Hub, Functions, Key Vault, Databricks), optional AWS/GCP exposure.
  • Certifications: Snowflake SnowPro Core/Advanced, Microsoft Certified (Azure Data Engineer Associate, Fabric Analytics Engineer).

Hospice of the Valley is an equal employment opportunity employer. EOE/M/F/D/V

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