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Data Analytics Engineer Jobs (NOW HIRING)

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our modern data platform. You will design governed data marts, build the semantic layer that powers our ...

General Motors

Data Analytics Engineer

Warren, MI · Hybrid

$107K - $129K/yr

Use modern data analytics and Business Intelligence tools such as Microsoft Power BI, Microsoft Excel, Microsoft SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$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 ...

Venturesoft

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site

$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 ...

General Motors

Data Analytics Engineer

Warren, MI · On-site

$107K - $129K/yr

Use modern data analytics and Business Intelligence tools such as Microsoft Power BI, Microsoft Excel, Microsoft SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to ...

Alchemy Insights, Inc

Data Analytics Engineer

New York, NY · On-site

$200K - $240K/yr

... in data engineering with strong SQL and deep Snowflake expertise * Experience designing efficient, scalable analytical data models * Proficiency with dbt or comparable transformation frameworks

CYNET SYSTEMS

Data Analytics Engineer

New York, NY · On-site

$60 - $65/hr

Bachelors degree in Computer Science, Data Engineering, Statistics, or a related field. * 8+ years of experience in data engineering and analytics roles. * Strong proficiency in SQL and analytics ...

Apple

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

Rivian

Durability Data Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers.

Rivian

Durability Data Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers.

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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.
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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

John W. Danforth Company

Tonawanda, NY

$80K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago

Key responsibilities

  • Build, maintain, and optimize ETL/ELT pipelines to support scalable data processing and integration across systems.

  • Develop and maintain logical and physical data models, including analytics-ready data layers for reporting and insights.

  • Collaborate with IT, engineering, and business stakeholders to translate requirements into scalable data solutions.

Job description

About Us

John W. Danforth Company, one of the largest mechanical contractors in the Northeast, is growing! We believe our people are our greatest asset and invest in training, career development, employee engagement, and team support. We are committed to delivering industry-leading experiences for our customers across commercial and industrial HVAC, plumbing, refrigeration, advanced technology manufacturing, process piping, fabrication, mission-critical environments, and energy performance projects, backed by comprehensive service maintenance and repair.

Job Summary

As a Data Analytics Engineer at John W. Danforth Company, you will play a critical role in enabling data-driven decision-making across the organization. You will design, build, and maintain scalable data pipelines, data models, and analytics-ready datasets. In this role, you will partner closely with analytics, IT, and business teams to ensure reliable, efficient, and accessible data solutions that support reporting and advanced analytics initiatives.

Essential Duties & Responsibilities

Build, maintain, and optimize ETL/ELT pipelines to support scalable data processing and integration across systems. Integrate data from internal and external sources while ensuring accuracy, consistency, and availability. Develop and maintain logical and physical data models, including analytics-ready data layers for reporting and insights. Deliver clean, reliable datasets that enable self-service analytics and support business intelligence tools. Implement data quality checks, validation processes, and monitoring to ensure data integrity. Support data governance initiatives, including metadata management, lineage, and compliance with security and regulatory standards. Optimize data pipelines, queries, and storage solutions to improve performance, scalability, and cost efficiency. Collaborate with IT, engineering, and business stakeholders to translate requirements into scalable data solutions. Troubleshoot production issues, provide enhancements, and contribute to continuous improvement efforts.

Qualifications

3-7+ years of experience in data engineering, analytics engineering, or a related field. Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) Strong SQL skills and experience with data modeling concepts and techniques. Experience with ETL/ELT tools and frameworks. Familiarity with cloud platforms such as Azure, AWS, or GCP. Knowledge of data warehousing concepts (e.g., dimensional modeling). Proficiency in programming or scripting languages such as Python, Spark, or similar. Strong problem-solving, analytical, and communication skills. Ability to manage multiple priorities and work collaboratively across teams.

#danfth

Equal Opportunity EmployerAs a leading provider of mechanical and electrical construction, facilities services, and energy infrastructure, we offer employees a competitive salary and benefits package and we are always looking for individuals with the talent and skills required to contribute to our continued growth and success. Equal Opportunity Employer/Veterans/DisabledNotice to Prospective EmployeesNotice to prospective employees: There have been fraudulent postings and emails regarding job openings. EMCOR Group and its companies list open positions here. Please check our available positions to confirm that a post or email is genuine. EMCOR Group and its companies do not reach out to individuals to help with marketing or other similar services. If an individual is contacted for services outside of EMCOR's normal application process - it is probably fraudulent.Geographic Disclosure

Compensation Range:   $80,000-$110,000

Other Compensation:   Bonus eligible

Benefits: We are committed to providing employees a comprehensive benefits package which includes medical, dental, and vision coverage, along with health savings and flexible spending accounts, life insurance, disability, a 401(k) Savings Plan, and an employee assistance program.

Employment Type: FULL_TIME

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