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Full Time Azure Data Scientist Jobs (NOW HIRING)

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

Relevant professional certifications highly preferred (e.g., AWS Certified Data Analytics, Azure Data Scientist Associate, or Python/Data Science credentials). * Familiarity with geospatial data ...

Azure Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field. * Core Experience: Minimum 3+ years of professional experience in Azure Data Engineering ...

Job Title Data Scientist Career Level Experienced (Non-Manager) Job Type Full-Time Location RWESS ... Working Knowledge of data pipeline and ETL tools (Apache Airflow, Databricks, Apache NiFi, Azure ...

Azure Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Job Summary : Syntricate Technologies is seeking an Azure Data Engineer to focus on data ... Science, Mathematics/Statistics, Analytics, Business Company : Syntricate Technologies offers ...

Data Scientist, Senior

$125K - $140K/yr

Job Type Full-time Description **This position is contingent upon award of contract/contract ... Microsoft Azure Data Scientist Associate (DP-100) * Azure AI Engineer Associate (AI-102) * AWS ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... Contribute to a modern, cloud-first technology stack (Azure ecosystem) that meets federal standards ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... Contribute to a modern, cloud-first technology stack (Azure ecosystem) that meets federal standards ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... Contribute to a modern, cloud-first technology stack (Azure ecosystem) that meets federal standards ...

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. * Strong ... Work closely with data engineers, data scientists, and business stakeholders to understand ...

Overview VTG is seeking a highly analytical and driven Data Scientist with at least 5 years of ... Azure, or GCP) Education:UNAVAILABLEEmployment Type: FULL_TIME

Showing results 41-60

Full Time Azure Data Scientist information

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$46K

$165K

$243.5K

How much do full time azure data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for full time azure data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does a full time Azure data scientist do?

A Full Time Azure Data Scientist leverages Microsoft Azure's cloud-based services and tools to collect, analyze, and interpret large datasets for organizations. They design and implement machine learning models, build data pipelines, and deploy solutions using Azure Machine Learning, Databricks, and related technologies. Their work helps companies make data-driven decisions, optimize business processes, and drive innovation by harnessing the power of cloud-scale data analytics.

What are the key skills and qualifications needed to thrive as a full time Azure data scientist?

A Full Time Azure Data Scientist requires expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with Microsoft Azure services (such as Azure Machine Learning, Data Factory, and Databricks), programming languages like Python or R, and relevant certifications (e.g., Microsoft Certified: Azure Data Scientist Associate) are highly valued. Strong communication, problem-solving, and collaboration skills help differentiate top performers in this role. These skills and qualifications are essential for designing effective data solutions, ensuring smooth deployment in cloud environments, and aligning insights with business objectives.

What are some common challenges full time Azure data scientists face when integrating data from multiple sources in a cloud environment?

Full Time Azure Data Scientists often encounter challenges related to data quality, consistency, and compatibility when integrating data from diverse sources such as on-premises databases, cloud storage, and third-party APIs. Ensuring secure data transfer, maintaining compliance with data governance policies, and managing large-scale data processing are also frequent hurdles. Leveraging Azure services like Data Factory, Synapse Analytics, and Data Lake can help streamline these processes, but success requires close collaboration with data engineers and IT teams to resolve integration issues efficiently.
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Infographic showing various Full Time Azure Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Azure Data Engineer Senior

Amerihealth Caritas

Newtown Square, PA • Hybrid

$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 hours ago


AmeriHealth Caritas rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

133rd of 315 rated insurance


Job description

THIS IS A HYBRID, OFFICE BASED POSITION WORKING AT OUR ELLIS PRESERVE OFFICE LOCATED IN NEWTOWN SQUARE, PA.  

WE WILL NOT CONSIDER REMOTE CANDIDATES!

Role Overview

The Senior Azure Data Engineer designs, builds, and optimizes large scale cloud data solutions on Microsoft Azure. The role requires deep hands on expertise with modern ingestion frameworks to ingest diverse data sources, on distributed compute, real-time streaming, and dimensional modeling, combined with strong Agile delivery practices and leadership in guiding junior developers. Experience with GenAI technologies is increasingly important as the organization evolves toward intelligent data products.

Work Arrangement

  • This a HYBRID office based position working in our Ellis Preserve office located in Newtown Square, PA.  Core office days are Tuesday, Wednesday, and Thursday.

Responsibilities

  • Architecture & Implementation: Design and implement scalable engineering solutions using Azure Data Factory, Azure Databricks, Azure Event Hubs, Kafka, HVR, Snowflake, and Azure Data Lake Storage
  • Pipeline Development: Build robust ETL/ELT pipelines for batch and streaming workloads using PySpark and SQL, ensuring fault tolerance, schema evolution handling, and idempotency
  • API Ingestion: Implement reliable API data ingestion patterns including authentication, pagination, rate limit handling, retries, and schema mapping
  • Real time Integration: Design and operate event driven ingestion and processing using Event Hubs and Kafka, and integrate CDC solutions using HVR
  • Performance Optimization: Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle optimization, Delta Lake optimizations) to meet SLAs and cost targets
  • DevOps & CI/CD: Use Azure DevOps for backlog management, Git workflows, YAML pipelines, automated testing, and repeatable deployments across environments
  • Code Quality & Mentorship: Perform code reviews, enforce coding standards and best practices, and mentor junior developers to raise team capability
  • Gen AI Enablement: Apply Gen AI knowledge to accelerate development (code generation, data documentation, prompt engineering for data tasks) and to integrate AI driven data products where applicable
  • Stakeholder Collaboration: Work with product owners, data scientists, analysts, and architects to translate business requirements into prioritized user stories and deliverables in Agile sprints
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Identify and tackle issues concerning data management to improve data quality
  • Understand and implement best practices in management of data, including master data, reference data, metadata, data quality and lineage
     

Education and Experience

  • Master’s degree in computer science, Information Systems, Software Engineering
  • Technical: Hands on experience with Azure Data Factory (6+ years), Azure Databricks (6+ years), HVR (3+ years), Kafka (5+ years), Event Hubs (3+ years), Snowflake (5+ years), Azure Data Lake Storage, PySpark (10+ years), and SQL (12+ years)
  • Modeling: Strong expertise in dimensional modeling, SCD implementation, and data warehouse best practices
  • Agile Delivery: Proven experience delivering data projects in Agile (Scrum or Kanban) teams
  • DevOps: Practical experience with Azure DevOps for CI/CD, branching strategies, and pipeline automation
  • Performance: Demonstrated ability to profile and optimize Databricks jobs and large scale data processing workloads
  • Integration: Experience ingesting data from REST APIs and external systems, handling schema drift and error handling
  • Leadership: Track record of conducting code reviews, providing technical guidance, and mentoring junior engineers
  • Communication: Clear communicator able to present technical tradeoffs to technical and non technical stakeholders
  • Experience with Collibra Data governance features
  • Familiarity with MLOps patterns and integrating data platforms with ML pipelines
  • Azure certifications such as DP 700, AZ 400, or Databricks Data Engineer certification
  • Prior work with cost optimization and observability tools for cloud data platforms
  • Practical experience applying Gen AI (LLMs, embeddings, retrieval augmentation) to data engineering workflows]

Other Skills

  • Problem solving: Analytical approach to diagnose performance and data quality issues
  • Collaboration: Strong team player who partners effectively across product, analytics, and platform teams
  • Mentorship: Patient, constructive coach who elevates code quality and engineering practices
  • Adaptability: Comfortable with shifting priorities and iterative delivery in fast moving environments
     

Our Comprehensive Benefits Package

Flexible work solutions including remote options, hybrid work schedules, Competitive pay, Paid time off including holidays and volunteer events, Health insurance coverage for you and your dependents on Day 1, 401(k) Tuition reimbursement and more.

Your career starts now. We're looking for the next generation of health care leaders.

At AmeriHealth Caritas, we're passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we'd like to hear from you.

Headquartered in Newtown Square, PA, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services.

Discover more about us at www.amerihealthcaritas.com.


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