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Data Analytics Engineer Jobs (NOW HIRING)

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 ...

Data Analytics Engineer

Charlotte, NC · On-site

$111K - $134K/yr

They are seeking a Data Analytics Engineer to design and implement data initiatives, enabling business partners to leverage high-quality data through intuitive models and visualizations.

Data Analytics Engineer

Syracuse, NY · On-site

$113K - $135K/yr

As a Data Analytics Engineer, you will play a critical role in enabling data-driven decision-making across the organization by designing, building, and maintaining scalable data pipelines and ...

Data Analytics Engineer

Durham, NC · On-site

$110K - $132K/yr

They are seeking a Data Analytics Engineer to design and implement data initiatives, enabling business partners to leverage high-quality data through intuitive models and visualizations.

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

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 ...

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 Leandro, CA · On-site

$129K - $155K/yr

SUMMARY The Data & Analytics Engineer is responsible for supporting and evolving Peterson's enterprise analytics platform. This is role performs data engineering, analytics delivery, and reporting ...

Data Analytics Engineer

Manassas, VA · On-site

$91K - $132K/yr

Responsibilities The Data Analytics Engineer will design, develop, and maintain robust data pipelines, analytical workflows, and reporting solutions to support operational and strategic decision ...

Data & Analytics Engineer

San Leandro, CA

$129K - $155K/yr

SUMMARY The Data & Analytics Engineer is responsible for supporting and evolving Peterson's enterprise analytics platform. This is role performs data engineering, analytics delivery, and reporting ...

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

About the role As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will design and maintain our core data models, pipelines ...

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 ...

This role sits at the intersection of data engineering and advanced analytics, responsible for the end-to-end design, implementation, and management of a governed Medallion Architecture (Bronze ...

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 ...

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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 Jul 20, 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
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 July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Job description

Job Overview

Skanska is searching for a dynamic Data Analytics Engineer. This is a great opportunity to start a career with a company that builds things that matter and values its team. We are proud to share our culture of diversity and inclusion.

Our work makes a clear contribution to society and the environment around us. We build in many different verticals. Whether we are building schools to provide inspiring spaces for learning, roads to connect communities, or hospitals to care for patients, it all contributes to our purpose - we build for a better society.

Skanska's values -Be Better Together, Act Ethically and Transparently, Commit to Customer, and Care for Life-are deeply engrained in how we work, which is why our values support and drive our D&I efforts.

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 models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data.  The ideal candidate will collaborate with data analysts and engineers to develop visual representations of data patterns and insights, effectively communicating their significance to internal and external stakeholders, colleagues, and end-users.

Data Analytics Engineer Required Qualifications:

      • 3+ years of experience data modeling in data warehouses with modern design patterns.
      • 3+ years of experience with Microsoft Azure, including key components like Data Lake, Azure Data Factory, Azure Blob Storage, Azure Synapse and Azure SQL
      • 3+ years of experience with Power BI, including report building, DAX functions, and visualization best practices.
      • 1+ year of experience with Microsoft Fabric and working knowledge of Lakehouse concepts, Delta tables, Pipelines, and Orchestration
      • Bachelor's Degree - Computer Science, Data Engineering, or a related field or 8 years equivalent experience plus minimum 5 years prior relevant experience.

Currently, the company is not considering applicants for this position who now or in the future require employment sponsorship by the company. 

Our Investment in you:

      • We believe that Benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options (including medical, dental, and vision insurance plans), expert guidance, and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially, and emotionally through the big milestones and in your everyday life. Please visit the compensation and Benefits summary on our careers site for more details.
      • As a Skanska community, our values ground us, and our diversity of experience propels us forward. No matter what your career stage, there's a place for you to thrive here and partner with us in shaping how our world lives, moves, and connects.
      • At Skanska, we Care for Life. And we're committed to supporting your whole health and peace of mind through inclusive and personalized total rewards.
      • We're committed to your success by developing you in your role and supporting your career growth
      • Compensation and financial well-being - Competitive base salary, excellent bonus program, 401k, & Employee ownership program. 

Come work with us and join a winning team!

Apply Today for Immediate Consideration!

Background Check Required

Skanska is an Equal Employment Opportunity (EEO) Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, disability, age, genetic information, citizenship, protected veteran status, or any other categories protected under applicable federal, state, and local laws.

Skanska Equal Employment Opportunity

Skanska uses knowledge & foresight to shape the way people live, work, and connect. More than 135 years in the making, we're one of the world's largest construction and project development companies. With operations in select markets throughout the Nordics, Europe and the United States, global revenue totaled $15.9 billion in 2024.

Skanska in the U.S. operates 28 offices across the country, with its headquarters in New York City. In 2024, the U.S. construction sector generated $8.2 billion in revenue, and the U.S. development sector's net investments in commercial projects totaled $224 million.

Together with our customers and the collective expertise of our 6,300 teammates in the U.S. and 26,300 globally, we create innovative and sustainable solutions that support healthy living beyond our lifetime.  

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Search Firm and Employment Agency Disclaimer Search Firm and Employment Agency Disclaimer Skanska USA Human Resources ("Skanska HR") provides HR services to the Skanska business units within the U.S.A. including Skanska USA Civil Inc., Skanska USA Building Inc., Skanska USA Commercial Development Inc. and Skanska Infrastructure Development Inc. (collectively "Skanska USA"). As such, Skanska HR is the sole authorized representative of Skanska USA to execute any agreements with search firms, employment agencies or any employment vendor ("Vendor"). As a condition precedent to any entitlement for payment, a Vendor shall have both (1) Skanska USA Placement Agreement, and (2) an Engagement Job Order executed by an authorized Skanska HR representative. Absent the properly executed documents, Skanska HR shall have no obligation to make payment to the Vendor. Verbal or written communications from any employee of Skanska USA business units shall not be considered binding obligations. All resumes whether unsolicited or solicited shall be considered property of Skanska HR.

Primary LocationUS-NC-CharlottePrimary Work Location/AssignmentHybridSkanska Business UnitSkanska USA Inc.Employee StatusFull TimeSalary LowSalary High Employment Type: FULL_TIME