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Cloud Data Analytics Engineer Jobs (NOW HIRING)

Data Analytics Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Pursue ongoing professional development in data analytics, cloud computing, options trading, and ... engineer, data scientist, financial risk analyst, business intelligence analyst * Ability to ...

Data & Analytics Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

... and optimize cloud data infrastructure for cost and performance • Deploy and maintain Omni ... Required : • 4+ years of experience in data engineering or analytics engineering • Strong ...

Data & Analytics Engineer

Calabasas, CA · On-site

$120K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning their data platform ... and optimize cloud data infrastructure for cost and performance • Deploy and maintain Omni ...

Data Analytics Engineer

Glen Allen, VA

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities ... Advanced proficiency in SQL and cloud data warehouses (Snowflake preferred) * Strong hands-on ...

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities ... Advanced proficiency in SQL and cloud data warehouses (Snowflake preferred) * Strong hands-on ...

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

Help monitor and optimize cloud data infrastructure for cost and performance Bridge Data to the ... engineering or analytics engineering * Strong understanding of data engineering best practices ...

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

... in modern cloud data warehouses (e.g., Snowflake, BigQuery, Databricks) Use tools like DBT to ... service analytics and reporting for engineering and product teams Collaborate across teams to ...

Data Analytics Engineer

Chicago, IL · Remote

$118K - $141K/yr

Candidate will join a team supporting the design and implementation of cloud infrastructure for internal analytics zone in collaboration with the Data Platform team, data architects, DevOps, and IT.

Data & Analytics Engineer

Los Angeles, CA

$123K - $148K/yr

Help monitor and optimize cloud data infrastructure for cost and performance Bridge Data to the ... engineering or analytics engineering * Strong understanding of data engineering best practices ...

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

Help monitor and optimize cloud data infrastructure for cost and performance Bridge Data to the ... engineering or analytics engineering * Strong understanding of data engineering best practices ...

Data Analytics Engineer

Westlake, OH · On-site

$106K - $127K/yr

... cloud data platforms, and modern analytics tools. Preferred * Experience with Snowflake, Databricks, or other data lakehouse technologies. * Understanding of LLMs, narrative insights, or AI-assisted ...

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Advanced SQL skills and experience working with large relational and cloud-based datasets * Proficiency in Python or another analytics/programming language * Understanding of data warehousing and ...

Data Analytics Engineer - Techno functional Role Location : NY/Alpharetta (Hybrid 3 days onsite ... Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform). * Familiarity with ...

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Advanced SQL skills and experience working with large relational and cloud-based datasets * Proficiency in Python or another analytics/programming language * Understanding of data warehousing and ...

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How much do cloud data analytics engineer jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for cloud data analytics engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

Is AI replacing cloud engineers?

AI is automating certain tasks within cloud data analytics, such as data processing and routine maintenance, but it does not replace the need for cloud data analytics engineers. These professionals are essential for designing, implementing, and managing complex cloud solutions, and their skills in cloud platforms, scripting, and data modeling remain in high demand. AI tools serve as complementary technologies that enhance efficiency rather than eliminate the role.

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

AspectCloud Data Analytics EngineerData Engineer
Primary FocusDesigning and implementing analytics solutions on cloud platformsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsCloud certifications (AWS, Azure, GCP), SQL, data visualizationSQL, ETL tools, programming (Python, Java), database management
Work EnvironmentCloud platforms, analytics tools, data visualization softwareOn-premises or cloud data warehouses, big data tools
Industry UsageData-driven decision making, analytics projectsData infrastructure, pipeline development

While both roles involve working with data, a Cloud Data Analytics Engineer specializes in creating analytics solutions on cloud platforms, focusing on data visualization and insights. A Data Engineer primarily builds and maintains data pipelines and infrastructure, supporting data accessibility across organizations.

What is a cloud analytics engineer?

A cloud analytics engineer is a professional who designs, develops, and maintains data analytics solutions using cloud platforms such as AWS, Azure, or Google Cloud. They work with big data tools, data pipelines, and analytics frameworks to enable organizations to extract insights from large datasets efficiently.

What engineers make $500,000?

Senior cloud data analytics engineers with extensive experience, advanced skills in data modeling, cloud platforms, and tools like AWS or Azure can reach salaries of $500,000 or more, especially in high-demand markets or with leadership responsibilities. Achieving this level often requires specialized certifications, a strong track record, and working in competitive industries or organizations with large-scale data needs.

What engineers make $300,000 a year?

Senior cloud data analytics engineers with extensive experience, advanced skills in cloud platforms like AWS or Azure, and expertise in data modeling and machine learning can earn $300,000 or more annually. High-level roles often require certifications, leadership responsibilities, and a strong track record of managing large-scale data projects.
What cities are hiring for Cloud Data Analytics Engineer jobs? Cities with the most Cloud Data Analytics Engineer job openings:
What states have the most Cloud Data Analytics Engineer jobs? States with the most job openings for Cloud Data Analytics Engineer jobs include:
Infographic showing various Cloud Data Analytics Engineer job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.
Data Analytics Engineer

Data Analytics Engineer

Request Technology, LLC

Chicago, IL • Hybrid

$118K - $141K/yr

Other

Posted 12 days ago


Job description

***We are unable to sponsor as this is a permanent full-time role***

***Hybrid, 3 days onsite, 2 days remote***

Responsibilities:

  • Design and maintain company analytics solutions drawing from both raw and semantic data layers
  • Partner with business units to gather requirements and develop targeted analytics solutions
  • Create data models ensuring information availability in the analytics warehouse for analysis and dashboard development
  • Help establish Data Analytics standards and collaborate with embedded business analysts to ensure adherence
  • Develop comprehensive documentation and testing protocols to guarantee data accuracy and accessibility
  • Identify and distribute data and analytics best practices across the team
  • Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability
  • Champion self-service capabilities and data literacy among business users through semantic layer utilization, analytics platforms (Tableau, Python), and CI/CD tools
  • Pursue ongoing professional development in data analytics, cloud computing, options trading, and financial risk management to improve analytics infrastructure
  • Provide guidance to business-embedded data analysts in addressing analytical challenges and support ad-hoc development needs

Qualifications:

  • Bachelor's or Master s degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Data Science, Electrical Engineering, Information Systems) or equivalent professional experience
  • 3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst
  • Ability to collaborate with multiple partners (e.g. Business Users, Data and Solution Architects, Data Governance and IT teams -- Data Platform Team, Systems & Infrastructure, Security, DevOps, Networking) to craft solutions that align business goals with internal processes, security, and delivery standards in mind.
  • Comfortable supporting business analysts on high-priority projects
  • Ability to write and optimize complex analytical (SELECT) SQL queries
  • Ability to write and optimize python for custom data pipeline code (virtual environments, scripts vs. modules vs packages, functional programming, unit testing)
  • Strong Experience with data viz/prep tools (preferably Tableau and Alteryx)
  • Experience with a source code version control repository system, branch management, pull requests (preferably Git)
  • Familiarity with services on at least one cloud computing platform, such as AWS or Azure, or a cloud data platform such as Databricks or Snowflake