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Senior Cloud Data Engineer Jobs (NOW HIRING)

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Senior Cloud Engineer

Atlanta, GA · On-site

$53.50 - $71.75/hr

We are looking for a Senior Cloud Data Engineer who is passionate about cloud engineering, Big Data, distributed systems, and modern data platforms. This role works at the intersection of Cloud, Data ...

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$126.3K

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

As of Sep 8, 2026, the average yearly pay for senior cloud data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What is a senior cloud data engineer?

Senior Cloud Data Engineers are experienced professionals who design, build, and maintain data processing systems on cloud platforms. They are responsible for creating scalable, secure, and efficient data pipelines and ensuring data is accessible for analysis and reporting. These engineers often work with tools and services from cloud providers like AWS, Azure, or Google Cloud, and collaborate closely with data scientists, architects, and other stakeholders. Their expertise in both cloud infrastructure and data engineering allows organizations to leverage large volumes of data for business insights.

What are some common challenges faced by senior cloud data engineers when migrating on-premises data systems to the cloud?

Senior Cloud Data Engineers often encounter challenges such as ensuring data integrity and security during migration, minimizing downtime, and handling compatibility issues between legacy systems and cloud platforms. They also need to optimize data pipelines for scalability and cost-effectiveness in the new environment. Close collaboration with stakeholders from IT, security, and business units is crucial to align migration goals and manage expectations throughout the process.

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

To thrive as a Senior Cloud Data Engineer, you need advanced expertise in data engineering, cloud platforms (such as AWS, Azure, or Google Cloud), programming languages (like Python or Scala), and a strong foundation in database technologies. Proficiency with cloud-based tools (e.g., AWS Glue, Azure Data Factory), big data frameworks (such as Spark or Hadoop), and relevant certifications (like AWS Certified Data Analytics) is highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate across teams help you excel in designing and optimizing complex data solutions. These skills ensure scalable, secure, and efficient data pipelines that support business analytics and innovation.

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

AspectSenior Cloud Data EngineerCloud Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced certifications (e.g., AWS Certified Data Analytics), and expertise in cloud platformsEntry to mid-level experience, foundational certifications, and basic cloud platform knowledge
Work EnvironmentDesigns and oversees complex data pipelines, mentors junior staff, and handles high-level architectureBuilds and maintains data pipelines, performs data integration, and supports data operations
Employer & Industry UsageUsed in large enterprises, tech companies, and data-driven organizationsCommon in startups, mid-sized companies, and organizations adopting cloud data solutions

The main difference between a Senior Cloud Data Engineer and a Cloud Data Engineer lies in experience, responsibilities, and expertise. Senior roles involve leadership, complex architecture, and mentorship, while Cloud Data Engineers focus on building and maintaining data pipelines. Both roles are essential in cloud data environments, but senior positions require more advanced skills and strategic oversight.

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Senior Cloud Data Engineer jobs near you
Infographic showing various Senior Cloud Data Engineer job openings in the United States 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 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Cloud Data Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$91K - $163K/yr

Full-time

Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

193rd of 898 rated healthcare providers

Job description

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.
We are seeking a highly skilled and experienced Senior Cloud Data Engineer to join our team. The successful candidate will be responsible for migrating on-premises database and ETL solutions to a modern cloud-based data platform utilizing Azure Cloud technologies, Snowflake, Python, and Generative AI solutions. This role will also be responsible for leveraging AI, Large Language Models (LLMs), and advanced analytics capabilities to automate processes, enhance data accessibility, improve operational efficiency, and accelerate business insights.
You'll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Lead the migration of ETL workloads from on-premises data warehouse platforms to Azure Cloud and Snowflake
  • Design, develop, and implement scalable data platform solutions using Azure Data Factory (ADF), Databricks, Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, Snowflake, and Python
  • Review, analyze, modernize, and optimize existing SSIS, T-SQL, and legacy ETL solutions

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • 6+ years of ETL development experience using on-premises databases and ETL technologies
  • 4+ years of experience as a Cloud Data Engineer
  • 3+ years of hands-on experience with Azure Cloud data services including ADF, SHIR, Logic Apps, ADLS Gen2, and Blob Storage
  • 3+ years of experience working with Snowflake data platforms
  • 2+ years of experience working with Databricks
  • 2+ years of experience Python for data engineering, automation, API integration, and AI application development
  • 2+ years of experience integrating Large Language Models (LLMs) such as Azure OpenAI, OpenAI, Anthropic Claude, or similar platforms
  • 1+ years of experience with Agile methodologies
  • Experience developing AI-powered solutions including prompt engineering, document intelligence, semantic search, vector databases, and Retrieval-Augmented Generation (RAG) architectures
  • Proven excellent problem-solving skills and ability to work independently
  • Proven solid communication and collaboration skills
  • Proven solid analytical skills and attention to detail
  • Ability to adapt to new technologies and learn quickly
  • Ability to travel up to 10%

Preferred Qualifications:
  • Azure Data Engineer, Azure AI Engineer, Azure Solutions Architect, and/or Snowflake certifications
  • Experience designing enterprise AI solutions in Azure cloud environments.
  • Experience with Azure OpenAI Service, Azure AI Search, Azure AI Studio, and Azure Machine Learning.
  • Proven knowledge of vector databases, embeddings, semantic search, and GenAI application architectures.
  • Experience implementing data governance, data quality, and AI governance frameworks.
  • Demonstrated familiarity with Spark, MLflow, or machine learning operationalization (MLOps)
  • Experience with healthcare data platforms, HIPAA compliance, and protected health information (PHI) handling.
  • Demonstrated familiarity with AWS and Google Cloud Platform data and AI services.

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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