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Cloud Data Analytics Engineer Jobs (NOW HIRING)

Data Analytics Engineer

Durham, NC

$110K - $132K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

Data Analytics Engineer

Dallas, TX

$113K - $136K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

Data Analytics Engineer

Charlotte, NC

$107K - $128K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

Data Analytics Engineer

San Jose, CA · On-site

$160K - $195K/yr

Position Summary We are seeking a Data Analytics Engineer with hands-on semiconductor test development experience to join our team. The ideal candidate will bridge the gap between test engineering ...

Cloud Data Engineer

Minneapolis, MN · Remote

$57 - $76.25/hr

Job Role - Cloud Data Engineer Location - Minneapolis, MN(Remote) Job Details: * Minimum of 5+ ... Strong analytical skills and attention to detail. * * Ability to adapt to new technologies and ...

Data Analytics Engineer

Fort Collins, CO · On-site

$102K - $146K/yr

We are looking for an Analytics Engineer to join our growing data team and help transform payments data into reliable, scalable, and actionable insights. Sitting at the intersection of data ...

Data Analytics Engineer

$117K - $140K/yr

Role - Senior Data Analytics Engineer Location - Remote Duration - Long Term contract Required • 6 to 10 years in data engineering, analytics engineering, or a closely related role. • Databricks ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

... analytics engineering. * Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark ...

Data Analytics Engineer

Charlotte, NC · On-site

$107K - $128K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

Data Analytics Engineer

Houston, TX

$109K - $131K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

Data Analytics Engineer

San Antonio, TX

$103K - $124K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

Data Analytics Engineer

Atlanta, GA

$110K - $132K/yr

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data ...

We are looking for an Analytics Engineer to join our growing data team and help transform payments data into reliable, scalable, and actionable insights. Sitting at the intersection of data ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

The Royal Caribbean Group's Revenue Planning & Analysis Team has an exciting career opportunity for a full time Data Analytics Engineer reporting to the Data Analytics Engineer Lead. The position is ...

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Cloud Data Analytics Engineer information

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$23

$62

$87

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 - dbt Snowflake / Data Modeling

Data Analytics Engineer - dbt Snowflake / Data Modeling

HTC Global Services

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Principal Analytics Engineer
Role Overview
We are seeking a Principal Analytics Engineer to lead the design, evolution, and scalability of our analytics data platform. This is a senior individual contributor role for someone who has deep hands-on expertise in dbt, SQL, Python, and cloud data warehousing, and who has experience shaping data architecture, modeling standards, and engineering best practices across teams.
This role is ideal for someone who does more than build pipelines or reports. We are looking for a leader who can define how data should be modeled, tested, governed, and delivered to support reliable analytics at scale. The right candidate will bring strong technical depth, architectural judgment, and the ability to influence both technical and non-technical stakeholders.
What You'll Do
  • Lead the design and evolution of scalable analytics data architecture across the organization
  • Define and implement best practices for analytics engineering, including modeling, testing, documentation, and maintainability
  • Build and optimize data models using dbt and modern cloud data warehouse platforms such as Snowflake or Amazon Redshift
  • Design scalable data models using approaches such as Dimensional Modeling, Data Vault, or similar frameworks, with clear rationale for when to use each
  • Write high-quality, performant SQL and use Python for data pipeline development, tooling, testing, or automation
  • Establish standards for project structure, reusability, testing strategy, and long-term maintainability in dbt environments
  • Identify and resolve systemic data quality, reliability, and trust issues across datasets and workflows
  • Partner with analytics, engineering, product, and business teams to align data architecture with business needs
  • Communicate technical decisions, tradeoffs, and architectural direction clearly to a range of stakeholders
  • Help drive technical direction across teams and elevate the overall maturity of the data organization

What We're Looking For
  • 10+ years of total experience in data-focused roles, with significant depth in Analytics Engineering, Data Engineering, or Data Architecture
  • Proven track record of owning and evolving large-scale data architectures, not just contributing within them
  • Expert-level proficiency in SQL
  • Strong hands-on experience with cloud data warehouse platforms such as Snowflake or Amazon Redshift
  • Deep expertise with dbt, including advanced project structure, testing, modular design, and scalable implementation patterns
  • Strong experience designing scalable data models using Dimensional Modeling, Data Vault, or similar approaches
  • Strong Python skills applied to data engineering, testing, automation, or tooling
  • Experience influencing technical direction and working across multiple teams
  • Proven ability to identify and solve broad data quality and reliability issues at an organizational level
  • Strong communication skills with the ability to explain complex technical concepts clearly

What Makes Your Candidacy Stand Out
  • Strong point of view on data modeling philosophy and when to apply different approaches
  • Experience building or maturing an analytics engineering practice
  • Ability to balance hands-on technical execution with architectural leadership
  • Strong track record improving trust, quality, and scalability in analytics data environments
  • Experience mentoring teams or setting standards that improve consistency across the organization

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
PAY TRANSPARENCY TAGLINE:
For information on the compensation range and an overview of benefits offered by HTC Global Services, please email compensationrange@htcinc.com. Salary, other compensation, and benefits information shared by HTC are accurate as of the date provided. The disclosed range may vary based on factors such as geographic location, education, relevant experience, certifications, skills, role fit, organizational needs & other factors as applicable. HTC Global Services reserves the right to modify ranges in accordance with governmental, state, and local requirements.
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