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Senior Data Analytics Engineer Jobs (NOW HIRING)

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

TAB Bank

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the bank's Business Intelligence pipelines, modeling, and reporting. This role bridges data engineering ...

PTMA Financial Solutions

Data Analytics Engineer

Denver, CO · On-site

$117K - $141K/yr

The Data Analytics Engineer is responsible for delivering business-facing analytics in a regulated ... senior team members. • Define, document, and govern enterprise KPIs (e.g., AUM, cash flows ...

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ...

Parafin

Data Analytics Engineer

San Francisco, CA · Remote

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Skanska USA

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 ...

TAB Bank

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the bank's Business Intelligence pipelines, modeling, and reporting. This role bridges data engineering ...

Rugs USA

Data Analytics Engineer

New York, NY · On-site

$110K - $120K/yr

Project Lead, Senior Software Engineer, Software Engineer, etc.). * Experience developing and ... Experience supporting data analytics, reporting, or business intelligence functions within the ...

Skanska USA

Data Analytics Engineer

Durham, NC · On-site

$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 ...

Onebridge

Sr. Data Engineer - Databricks

$117K - $140K/yr

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers ... We have an exciting opportunity for a highly skilled Sr. Data Engineer - Databricks to join our ...

Skanska USA

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 ...

Skanska USA

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 ...

Skanska USA

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 ...

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Senior Data Analytics Engineer information

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$81K

$126.3K

$175K

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

As of Jul 20, 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
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Senior Data Analytics Engineer jobs near you
Infographic showing various Senior 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 $126,328 per year, or $60.7 per hour.

Data Analytics Engineer

Kanak Elite Services Inc

Cincinnati, OH • On-site

$109K - $131K/yr

Contractor

Re-posted 15 days ago

Job description

Hi,
Hope your are doing well. 

My name is Anjali, and I am a Sr Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, share me your updated resume on anjali08@kanakits.com.  


Role: DATA ANALYTICS ENGINEER

Location: Cincinnati, OH (onsite)

We are forward-thinking organization committed to harnessing the power of data to drive business success. We are seeking a skilled Data Visualization Developer with expertise in Spotfire and AWS Redshift to join our team and help us build and maintain robust data infrastructure.

 

Responsibilities:

  • Design, develop, and maintain reports using Tibco Spotfire
  • Optimize and manage existing reports.
  • Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution.
  • Develop and maintain documentation for data processes and architecture.
  • Stay updated with the latest trends and best practices in data engineering and AWS technologies.

 

Requirements:

  • Bachelor's degree in computer science, Information Technology, or related field.
  • Proven experience as a Data Engineer, with a focus on AWS Redshift.
  • Strong proficiency in SQL and database management.
  • Strong proficiency in Tibco Spotfire.
  • Familiarity with AWS services such as AWS Quick sight, AWS redshift
  • Knowledge of data warehousing concepts and best practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively.
  • Knowledge on CICD process

 

Preferred Qualifications:

  • Certifications in Tibco Spotfire
  • Knowledge of programming languages such as Python, SQL etc.
  • Understanding of data governance and security practices.