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Senior Data Engineer Python Jobs in Phoenix, AZ (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 ... SQL (advanced), dbt or Fabric Dataflows/Power Query M, ADF/Synapse/Fabric Pipelines, Python for ETL ...

kestra

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with Delta Lake, Unity ... Expertise in data engineering and data warehousing, consistently delivering enterprise-grade ...

kestra

Senior Data Platform Engineer

Tempe, AZ · On-site

$109K - $131K/yr

Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with Delta Lake, Unity ... Expertise in data engineering and data warehousing, consistently delivering enterprise-grade ...

Lucid Motors

Senior Data Scientist

Phoenix, AZ

About the Role As a Senior Data Scientist, Field Quality , you will report to a Field Quality ... Science, Engineering, Mathematics, or a related technical field. * Proficiency in Python, SQL ...

Personify Health

Data Engineer II

Tempe, AZ · On-site

$111K - $133K/yr

Build workflows and applications using Python, SQL, and Django, working across PostgreSQL, Oracle ... Apply data modeling patterns and standards set by senior engineers, contributing your perspective ...

Personify Health

Data Engineer II

Tempe, AZ · On-site

$111K - $133K/yr

Build workflows and applications using Python, SQL, and Django, working across PostgreSQL, Oracle ... Apply data modeling patterns and standards set by senior engineers, contributing your perspective ...

Personify Health

Data Engineer II

Tempe, AZ · On-site

$111K - $133K/yr

Build workflows and applications using Python, SQL, and Django, working across PostgreSQL, Oracle ... Apply data modeling patterns and standards set by senior engineers, contributing your perspective ...

REPAY Company

Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

The Data Engineer is responsible for designing, building, optimizing, and maintaining scalable ... Design, build, maintain, and optimize data pipelines using Python, SQL, PySpark, Databricks, and ...

Inficare Technologies

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Title: Data Engineer Location: Phoenix, AZ (Day 1 Onsite) Job Type: Contract - Long Term ... Use Python for scripting, automation, data processing, and validation tasks * Support AI/ML and ...

Lucid Motors

Senior Data Scientist

Phoenix, AZ · On-site

About the Role As a Senior Data Scientist, Field Quality , you will report to a Field Quality ... Science, Engineering, Mathematics, or a related technical field. * Proficiency in Python, SQL ...

Staffingine LLC

Senior GCP Data Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Senior GCP Data Engineer Job Location: Phoenix, AZ Job Type: Contract Data Engineering & Pipelines ... Python (advanced) - pipeline development & Airflow DAGs * SQL (advanced) - joins, window functions ...

Inficare Technologies

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

Data Engineer Location: Phoenix, AZ onsite Job Type: Contract * Experience with strong data ... Hands-on experience with PySpark and Python * Hands-on experience with SQL * Experience with Apache ...

Lucid Motors

Senior Data Scientist

Phoenix, AZ · On-site

About the Role As a Senior Data Scientist, Field Quality , you will report to a Field Quality ... Science, Engineering, Mathematics, or a related technical field. * Proficiency in Python, SQL ...

Socket.dev

Senior Data Scientist

Phoenix, AZ · On-site

About the Role As a Senior Data Scientist, Field Quality , you will report to a Field Quality ... Science, Engineering, Mathematics, or a related technical field. * Proficiency in Python, SQL ...

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 ...

Addison Group

Data Engineer

Phoenix, AZ · On-site

$55 - $65/hr

Data Engineer Location: Tempe, AZ (Onsite) Contract: 12 month Schedule: Monday-Friday | 8:00 AM-5 ... Python * Snowflake or Databricks * Azure Data Factory * Power BI experience is a plus Addison Group ...

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Senior Data Engineer Python information

See Phoenix, AZ salary details

$80.4K

$125.4K

$173.8K

How much do senior data engineer python jobs pay per year?

As of Sep 15, 2026, the average yearly pay for senior data engineer python in Phoenix, AZ is $125,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $143,000.00 per year, depending on experience, location, and employer.

What does a senior data engineer python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What are the key skills and qualifications needed to thrive as a senior data engineer python?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

How does a senior data engineer python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

What are popular job titles related to Senior Data Engineer Python jobs in Phoenix, AZ?

For Senior Data Engineer Python jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer Python jobs in Phoenix, AZ look for?

The top searched job categories for Senior Data Engineer Python jobs in Phoenix, AZ are:

Senior Data Engineer Python jobs near you
Infographic showing various Senior Data Engineer Python job openings in Phoenix, AZ as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $125,433 per year, or $60.3 per hour.

Senior Data & AI Engineer

Phoenix, AZ • On-site

Hospice of the Valley
See more jobs at Hospice of the Valleyexternal

$100K - $136K/yr

Full-time

PTO

Re-posted 21 days ago

Key responsibilities

  • Architect, implement, and optimize data solutions in Snowflake and Microsoft Fabric.

  • Build and manage data ingestion frameworks for batch and streaming data with lineage and governance.

  • Design and implement data models and transformations for structured and unstructured healthcare data.

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

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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