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Senior Data Analytics Engineer Jobs (NOW HIRING)

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 ...

New

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

Chantilly, VA · On-site +1

$142K - $169K/yr

Yes As a Data Analytics Engineer, you will: * Evolve Extract, Transform, Load (ETL) pipelines of ... Provide support and presentations of the visualization platform to internal customers and senior ...

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

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

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

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

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.

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 ...

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Senior Data Analytics Engineer information

See salary details

$81K

$126.3K

$175K

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

As of Jun 8, 2026, the average yearly pay for senior data analytics 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 the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a Senior Data Analytics Engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a Senior Data Analytics Engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
More about Senior Data Analytics Engineer jobs
What cities are hiring for Senior Data Analytics Engineer jobs? Cities with the most Senior 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 Senior Data Analytics Engineer jobs? States with the most job openings for Senior Data Analytics Engineer jobs include:
What job categories do people searching Senior Data Analytics Engineer jobs look for? The top searched job categories for Senior Data Analytics Engineer jobs are:
Infographic showing various Senior Data Analytics Engineer job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 13% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Data Analytics Engineer

Skanska USA

Charlotte, NC

$107K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 2 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.  

Skanska's Applicant Privacy Policy for California Residents

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