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Data Engineer Data Scientist Jobs (NOW HIRING)

Drive Innovation as our Next Data Engineer / Scientist (Predictive Analytics)! Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for a passionate problem ...

This role is responsible for applying data science, machine learning, and data engineering techniques to enhance enterprise security monitoring, detection, threat hunting, user and entity behavior ...

Data Scientist

Manhattan Beach, CA · On-site

$93K - $130K/yr

The Data Scientist will be a hybrid professional who combines deep statistical rigor with an engineering first mindset, with a mission to translate complex business challenges into an end-to-end ...

Overview BigBear.ai is seeking a Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific ...

Overview BigBear.ai is seeking a Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific ...

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

Data Scientist Sphinx Data Scientists provide an array of data analytics, engineering, mining, and development solutions. They leverage predictive analysis, statistical analysis, and other scientific ...

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May conduct and/or support data engineering and data management. May assist with the selection of ...

Data Scientist

Mclean, VA · Hybrid

$160K - $220K/yr

Data Scientist McLean, VA 22102 JTEC Consulting LLC focuses on successfully delivering solutions to ... Positions are supporting varied task order activities including ETL, data engineering, data ...

Data Scientist

Mclean, VA · On-site

$160K - $220K/yr

Data Scientist McLean, VA 22102 JTEC Consulting LLC focuses on successfully delivering solutions to ... Positions are supporting varied task order activities including ETL, data engineering, data ...

Data Engineer

Bedminster, NJ · On-site

$116K - $140K/yr

Bachelor's Degree in computer science, data science, software engineering, information systems, or related quantitative field. * Minimum 4 years of experience working as a Python Developer, Solutions ...

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Data Engineer Data Scientist information

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$46K

$165K

$243.5K

How much do data engineer data scientist jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data engineer data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Data Scientist vs Data Analyst?

AspectData EngineerData Analyst
Required CredentialsBachelor's/Master's in CS, Engineering, or related; often certifications in cloud or big data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentBuilds data pipelines, manages databases, works with big data toolsAnalyzes data, creates reports, visualizations for business insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting

While Data Engineers focus on building and maintaining data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Analysts focus on data analysis and reporting.

What is the 80 20 rule in data science?

In data science and data engineering, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of effects come from 20% of causes. Data professionals often focus on the most impactful features or data subsets to optimize models and workflows efficiently.

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

To thrive as a Data Engineer or Data Scientist, you need a strong background in mathematics, statistics, programming (commonly Python or SQL), and data modeling, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Hadoop or Spark), data visualization tools, and cloud platforms (like AWS or Azure), as well as relevant certifications, is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities enable professionals to efficiently process complex data, drive data-informed decisions, and add value to organizations.

Can a data engineer work as a data scientist?

A data engineer can transition to a data scientist role since both require strong skills in data manipulation, programming, and understanding of data systems. However, data scientists typically focus more on statistical analysis, machine learning, and modeling, which may require additional training or experience. Familiarity with tools like Python, R, and SQL is common to both roles.

Which pays more, a data engineer or a data scientist?

Data engineers and data scientists often have similar salary ranges, but data scientists tend to earn slightly higher on average due to their focus on advanced analytics and modeling skills. Salaries vary based on experience, location, and industry, with data scientists typically requiring expertise in machine learning and statistical analysis tools. Both roles are in high demand, and certifications or proficiency in programming languages like Python or SQL can influence compensation.

How do Data Engineer Data Scientists typically collaborate with other teams within an organization?

Data Engineer Data Scientists often work closely with data analysts, software engineers, and business stakeholders to ensure that data pipelines are both reliable and tailored to business needs. They are responsible for transforming raw data into actionable insights, which means they regularly participate in cross-functional meetings to understand project requirements and feedback. Collaboration often includes designing data models, optimizing queries, and deploying machine learning models, all while ensuring data integrity and security. This collaborative environment not only enhances the quality of data-driven solutions but also provides opportunities for continuous learning and professional growth.

Is 40 too late for data science?

Data engineers and data scientists can successfully transition into their roles at age 40 or older, as skills such as programming, data analysis, and machine learning are learnable at any age. Experience, continuous learning, and relevant certifications can enhance employability regardless of age, and many organizations value diverse backgrounds and perspectives.
What cities are hiring for Data Engineer Data Scientist jobs? Cities with the most Data Engineer Data Scientist job openings:
What states have the most Data Engineer Data Scientist jobs? States with the most job openings for Data Engineer Data Scientist jobs include:
Infographic showing various Data Engineer Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Machine Learning Data Scientist

Machine Learning Data Scientist

Trimble

Lake Oswego, OR

$122K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago


Trimble rating

7.8

Company rating: 7.8 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

53rd of 139 rated electronics manufacturers


Job description

Drive Innovation as our Next Data Engineer / Scientist (Predictive Analytics)!

Ready to make a tangible impact on global industries using cutting-edge AI? Trimble is looking for a passionate problem-solver like you to leverage data to drive meaningful business outcomes and contribute to the success of our data-driven initiatives! You will unleash your potential by designing systems that improve customer retention for SketchUp, turning complex datasets into actionable strategies that move the world forward.

About Us:

Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress.

AECO: The Trimble AECO segment provides digital construction solutions that increase precision and productivity for Architecture, Engineering, Construction, and Operations.

What Makes This Role Great:

In this role, you will be at the forefront of developing predictive machine learning models, directly influencing customer retention for our SketchUp product and shaping the future of how we understand and engage with our global user base.

Key Exciting Responsibilities

  • Design and deploy sophisticated ML models, such as XGBoost and logistic regression, to proactively identify and mitigate churn risk.

  • Translate complex model outputs into business-friendly insights that drive targeted go-to-market retention strategies.

  • Engineer impactful features from raw customer data to develop advanced metrics for tracking global engagement and activity.

  • Architect automated processes and algorithms to cleanse and integrate massive datasets for high-level customer segmentation and model training.

  • Optimize churn prediction performance using advanced metrics like AUC and lift to ensure maximum business impact.

Essential Skills & Experience

  • 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models.

  • Proficiency in Python and SQL for data manipulation and algorithm development.

  • Strong grasp of data engineering concepts including data lakes, ETL tools, and columnar formats.

  • Experience in statistical modeling for churn analysis, customer segmentation, and cohort analysis.

  • Bachelor's degree in Computer Science, Data Analytics, or Engineering (Master's or Ph.D. preferred).

Bonus Points For:

  • Experience with demographic and firmographic data integration.

  • Familiarity with BI tools and cloud-based data environments.

  • Advanced academic research in predictive analytics or related fields.

Logistics:

Location: In Office: Westminster, CO

Travel Requirement: Minimal

Why You'll Love Working With Us

At Trimble, we're not just a company that "does good"-we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world's most critical challenges. From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.

You'll work on projects that truly matter: Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide. Our impact is tangible, from connected machines that save fuel to data-driven insights that reduce waste.

Collaborate with like-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We're a company of "visionary pragmatists" who think boldly and build things that work.

Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers."

Data Engineer, Data Scientist, Machine Learning, Churn Prediction, Python, SQL, Predictive Analytics, SketchUp, ETL, XGBoost, Data Modeling

Compensation: Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.

Hiring Range

$122,642.00-$165,466.00

Pay Rate Type

Salary

Bonus Eligible?

Yes

Commission Eligible?

No


Benefits: Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date.


How to Apply: Please submit an online application for this position by clicking on the 'Apply Now' button located in this posting.


Application Deadline: Trimble accepts applications on an ongoing basis until the position is filled.

At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values-Belong, Innovate, and Grow-we embrace and celebrate differences, knowing they make us stronger and more innovative. We are proud to be an equal opportunity employer, welcoming individuals of all backgrounds and advancing opportunities while embracing race, color, gender identity, sexual orientation, religion, disability, veteran status, or any other protected and diverse characteristic. We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more, please see Trimble's Code of Business Conduct and Ethics at https://investor.trimble.com, under "Corporate Governance."

Our mission to transform the way the world works starts with transforming how we work together. By actively listening, asking questions, and taking intentional actions, we cultivate a culture that provides equitable opportunities for everyone to contribute and grow.

Candidate Privacy Notices by Country

If you need assistance or would like to request an accommodation in connection with the application process, please contact careers@trimble.com.


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