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Data Analytics Engineer Jobs (NOW HIRING)

Data Analytics Engineer

San Jose, CA · On-site

$134K - $161K/yr

They are seeking a Data Analytics Engineer to analyze semiconductor test data, develop predictive models, and enhance quality improvement initiatives by bridging test engineering and data science.

New

Data Analytics Engineer

Lexington Park, MD

$111K - $133K/yr

Work with data engineers & developers to acquire, process, and format data both at source and post-extraction to create analytical products * Work hand-in-hand with data analysts & data scientists to ...

Data & Analytics Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

The role involves building and maintaining data pipelines, supporting analytics engineering functions, and collaborating with cross-functional teams to ensure data-driven decision-making across the ...

Data Analytics Engineer

Bozeman, MT · On-site

$123K - $148K/yr

As a Data Analytics Engineer, you will play a critical role in designing, implementing, and optimizing data analytics solutions leveraging Microsoft's suite of tools and technologies. Your expertise ...

New

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 infrastructure and serve as a key builder connecting their data warehouse to various teams. The role ...

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 ...

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 ...

Data Analytics Engineer

Westlake, OH · On-site

$106K - $127K/yr

Description Position Summary The Data Analytics Engineer is responsible for designing, developing, and delivering high-impact data visualizations, dashboards, and analytical products that enable ...

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

Responsibilities The NAVAIR Digital Department, Command Data Officer Team is seeking a Data Analytics Engineer to work with our diverse operational and customer stakeholders to identify, help acquire ...

Data & Analytics Engineer

Calabasas, CA

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Data Analytics Engineer

Chicago, IL · Remote

$118K - $141K/yr

Prestigious Financial Company is currently seeking a Data Analytics Engineer. Candidate will join a team supporting the design and implementation of cloud infrastructure for internal analytics zone ...

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Showing results 1-20

Data Analytics Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data analytics engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data analytics engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.
What cities are hiring for Data Analytics Engineer jobs? Cities with the most Data Analytics Engineer job openings:
What are the most commonly searched types of Data Analytics Engineer jobs? The most popular types of Data Analytics Engineer jobs are:
What states have the most Data Analytics Engineer jobs? States with the most job openings for Data Analytics Engineer jobs include:
Infographic showing various Data Analytics Engineer job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$109K - $131K/yr

Other

Posted 20 days ago


Job description

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.

We are proud to be the vacation-industry leader with global brands - including Royal Caribbean International, Celebrity Cruises and Silversea Cruises - the most innovative fleet and private destinations, and the best people. Together, we are dedicated to turning the vacation of a lifetime into a lifetime of vacations for our guests.

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 onsite and based in Miami, FL.  

The position is also not eligible for work authorization sponsorship.

Position Summary:

The Revenue Management Development and Systems team is responsible for all data, decision tools, reporting and information needs for the Revenue Planning and Revenue Management teams. This position assists in supporting the team's database, jobs, and reports. Serves as contact person for the department to help explain the tools and data results.  Responsibilities include the design, development, and implementation of data processes, reporting, and analytics solutions.  This individual can work under minimal supervision.  They are responsible for interacting with various departments within Royal Caribbean to curate, consolidate, and manipulate data; to analyze and understand results; and to create reports.

 

Essential Duties and Responsibilities:

  • Meet with business stakeholders to clarify and document reporting requirements 
  • Works with management & other team members to understand & clarify data analysis and reporting needs
  • Meet with technical stakeholders to perform code reviews and elicit feedback
  • Assist in developing, implementing, and maintaining data processes, business intelligence reporting, and user tools
  • Recommend data architecture and engineering structures necessary to support reports
  • Develop new reporting by creating new queries or coding new processes.  Aggregates large data sets in SQL, Python, and other analytical tools for analysis.  Develops data strategies, specifically around data structures, identifying critical information, as well as the tools used to retrieve and analyze the data. Performs research and analysis on large data sets - data exploration, trending, etc. 
  • Continuously search for potential business improvements, revenue opportunity and efficiency gains.
  • Clearly explain tools and results to teams and management. Develop and conduct clear, concise presentations, communicating technical methods and impacts in business terms. 

Performs other duties as required. This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to perform any other job-related duties assigned by their supervisor or management.

 

Qualifications, Knowledge and Skills:

  • Bachelor's degree preferably in Mathematics, Statistics, Computer Science, Economics, Analytics, Business, Engineering or BS/BA with combination thereof and related analytic work experience or relevant certifications.  
  • 2 years of work experience in data analysis, data mining, business case development or other related analytical projects. 
  • Equivalent combination of education and experience will be considered
  • Strong proficiency in query/reporting tools, SQL, Python or other development tools. 
  • Understanding of forecasting, data cleansing and transformations
  • Experience working with databases, including Oracle, Databricks, or SQL Server
  • Strong quantitative, analytical, and problem-solving skills.
  • Demonstrated ability to develop and implement applications using programming languages
  • Experience with SQL required
  • Experience in supporting and interpreting reporting using business Intelligence tools (Power BI and Databricks experience a plus).
  • Ability to handle dynamic workload, balancing short- and long-term projects.
  • Ability to communicate clearly and effectively to business and technical audiences in both spoken and written formats.

 

Agency and Third-Party Submissions: Please note this is a direct search by the Company, and applications through agencies and other third parties will not be accepted, nor will fees be paid for unsolicited resumes. Any unsolicited resumes will be considered the Company's property.

 

We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon!

It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.