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Senior Data Analytics Engineer Jobs (NOW HIRING)

Liberty Mutual

Senior Data Analytics Engineer

Boston, MA · On-site

$106K - $197K/yr

Description If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data ...

Liberty Mutual

Senior Data Analytics Engineer

Portsmouth, NH · On-site

$108K - $146K/yr

Description If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data ...

Liberty Mutual

Senior Data Analytics Engineer

Seattle, WA · On-site

$120K - $163K/yr

Description If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data ...

Liberty Mutual

Senior Data Analytics Engineer

$106K - $197K/yr

Description If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data ...

Liberty Mutual

Senior Data Analytics Engineer

Columbus, OH · On-site

$102K - $139K/yr

Description If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data ...

Propelus

Senior Data Analytics Engineer

$108K - $147K/yr

Propelus simplifies workforce compliance management across healthcare. As an Analytics Engineer, you will transform raw data into actionable insights to support data-driven decision-making ...

Propelus

Senior Data Analytics Engineer

$100K - $140K/yr

As an Analytics Engineer, you will play a crucial role in transforming raw data into actionable insights to support data-driven decision-making across the company. You will work independently on ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Partner with the Senior Data Engineer to make sure the source pipelines you depend on are designed ... AI-native analytics engineering * Use Claude Code as your primary working environment, including ...

KORE1 Technologies

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

... hiring a Data Analytics Engineer to help build the data foundation that powers trustworthy ... This is a senior individual contributor role. You'll lead through technical ownership, influence ...

Velir

Senior Data and Analytics Engineer

$108K - $147K/yr

Velir is an established mid-sized agency with a top-tier portfolio of clients, and they are seeking a Senior Data and Analytics Engineer. This role involves transforming raw data into reliable assets ...

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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 21, 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.
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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 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Senior Data Analytics Engineer

Senior Data Analytics Engineer

Liberty Mutual

Boston, MA • On-site

$106K - $197K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Liberty Mutual rating

9.0

Company rating: 9.0 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

33rd of 281 rated insurance

Job description


Description

If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you.

Modeling Data Solutions is seeking experienced data analytics engineers to join its personal lines auto teams. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions.
**This role may have in-office requirements dependent upon candidate location.**

Responsibilities

  • Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization’s analytical needs.
  • Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders.
  • Collaborate with data scientists, analysts, and business stakeholders to understand their data requirements and provide tailored analytics solutions.
  • Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security.
  • Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting.
  • Utilize python, Snowflake, and SQL queries to build robust data solutions and for profiling data.
  • Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team’s capabilities.
  • Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration.

The ideal candidate will:

  • Have strong hands-on experience with SQL and Python; familiarity with cloud data platforms such as Snowflake and AWS. Experience with dbt or Databricks is a plus.
  • Demonstrate 5+ years of experience in data analysis, product/business analytics, or data engineering.
  • Possess proven experience managing analytics or data projects and coordinating cross-functional workstreams, with demonstrated ability to deliver on time and communicate progress to varied audiences.
  • Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective).
  • Be experienced with data quality practices, monitoring, and validation approaches to ensure reliable inputs for analytics and decision-making.
  • Have excellent communication skills and the ability to work with technical and non-technical stakeholders.

Preferred qualifications:

  • Domain experience in personal lines Auto, Property, or other insurance product areas.
  • Proven experience leading cross-functional analytics projects, including stakeholder management, project scoping, and delivering business outcomes.
Qualifications
  • Strong written and oral communication skills required.
  • Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred.
  • Master`s in same or related disciplines strongly preferred.
  • 5-7+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. 
  • 5-7+ years experience as developer with top quadrant Business Intelligence tools.
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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