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Data Analytics Engineer Jobs (NOW HIRING)

Skanska

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.

Royal Caribbean Group

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 ...

Sabre Systems LLC

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 ...

Forus Inc

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 ...

Peterson

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 ...

PetersonCat

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 ...

Sabre Systems LLC

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 ...

Zayo

Data Analytics Engineer

Denver, CO · On-site +1

$77/hr

We're looking for an experienced Data Analytics Engineer to join our Network Data Solutions team. In this role, you will combine deep telecom data expertise with technical acumen and problem-solving ...

True Classic

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 ...

CGI Inc.

Data & Analytics Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data & Analytics Engineer Category: Analytics and Emerging Digital Technologies Main location: United States, Tennessee, Nashville Position ID:J0426-0320 Employment Type: Full Time Position ...

Request Technology, LLC

Data Analytics Engineer

Chicago, IL · On-site

$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 ...

True Classic

Data & Analytics Engineer

Los Angeles, CA

$123K - $148K/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 ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house ...

Gigatec Engineering

Data Analytics Engineer

Annapolis, MD · On-site

$113K - $136K/yr

... Engineering role, you'll get to build the workflow engines behind the curtain, designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics ...

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All JobsData Analytics Engineer Jobs

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 29, 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 I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, 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 stock options or bonuses.

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 AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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 infrastructure 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.
More about Data Analytics Engineer jobs
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Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Analytics Engineer

Data Analytics Engineer

Skanska

Charlotte, NC • On-site

$111K - $134K/yr

Full-time

Posted 6 hours ago

Skanska rating

8.5

Company rating: 8.5 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Skanska is a leading construction and project development company that values diversity and inclusion. 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.
Responsibilities:
• Designing, implementing, and supporting enterprise data initiatives and analyses.
• Creating intuitive data models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data.
• Collaborating with data analysts and engineers to develop visual representations of data patterns and insights.
• Effectively communicating data insights to internal and external stakeholders, colleagues, and end-users.
Qualifications:
Required:
• 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.
Company:
Skanska is a construction company that provides services, including earthworks, soil stabilization, sheet piling, and milling. Founded in 1996, the company is headquartered in Stockholm, SWE, with a team of 10001+ employees. The company is currently Late Stage.

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