Data Engineer, Customer Insights & Analytics Job at Trimble Inc. (Westminster)

Director, Data Engineering & Analytics

We are seeking a proven Data and Analytics leader to run our data team. This rol...

Location

United States , Washington, DC

Salary:

165000.00 - 295625.00 USD / Year

Arcadia

Expiration Date

Until further notice

Requirements

Expert Data & Analytics leader with demonstrated experience processing and analyzing large-scale datasets (billions of records)
Deep expertise with Snowflake as a data platform, including performance optimization, cost management, and architecting for scale
Hands-on experience with modern data stack: dbt for transformation, Hex for analytics, and Fivetran/Airbyte for data ingestion
Have built and led Data & Analytics teams at high-growth SaaS companies, specifically those dealing with high-volume data processing
Experience with utility data, billing systems, or similar high-volume transactional data is highly valued
12+ years in the workforce with significant experience in data-intensive environments
Top-notch technical skills covering both data and quantitative techniques: data facility, descriptive analytics, and predictive modeling
SQL and Python are a must, with demonstrated ability to write optimized queries for large-scale data processing
Experience with data governance, security, and compliance in handling sensitive customer data

Job Responsibility

Build, lead, and scale a successful data organization
Oversee the processing and analysis of several million utility bills per month, ensuring data pipeline reliability, accuracy, and scalability
Ensure data quality and that we are building our products to give our customers the insight they need
Build a multi-year strategy around data infrastructure, enterprise data modeling, and processing capabilities
Build a framework for data investments that ensures we are appropriately balancing R&D with products that deliver strong return on investment
Lead the optimization and evolution of our Snowflake-based data architecture to handle exponential data growth
Own the enterprise unified data model and architecture that will power all of Arcadia’s applications and use cases

What we offer

competitive benefits and equity component to the package

Fulltime

Customer & Marketing Data Engineering Manager

This hybrid role blends marketing strategy, customer analytics, and hands-on eng...

Location

United States , Springfield

Salary:

Not provided

Capstone IT Staffing

Expiration Date

Until further notice

Requirements

10+ years in digital marketing, data analytics, or data engineering
4+ years in a leadership role
Expertise with modern marketing and data technologies: Snowflake, SQL, Python, dbt, Airflow, Google Analytics, Tableau, Power BI
Strong background in connecting MarTech ecosystems (CRM, automation, attribution tools) to enterprise data platforms
Ability to turn marketing goals into clear technical plans and measurable results
Exceptional communication skills and comfort working across technical, marketing, and executive teams
Bachelor’s degree in Marketing, Computer Science, Data Analytics, or related field

Job Responsibility

Build and execute data-driven digital marketing strategies that boost customer acquisition, retention, and engagement
Analyze customer behavior, campaign performance, and conversion data—turning insights into action
Partner with Marketing and Data teams to enable personalization, targeting, and unified reporting
Optimize digital channels (email, social, web) to improve ROI and customer experiences
Integrate CRM, analytics, and marketing automation tools into enterprise data platforms
Lead and mentor a cross-functional team of data engineers, BI developers, and analysts
Oversee the development of scalable data pipelines, integrations, and analytics infrastructure (Snowflake, dbt, Airflow)
Roll up your sleeves to help design data models, review workflows, and troubleshoot complex technical challenges
Modernize outdated systems and implement forward-looking data architectures
Align engineering and marketing roadmaps to ensure technology fuels business outcomes

Head of Quality – Customer Reporting and Data Analytics

As Head of Quality – Customer Reporting and Data Analytics, your primary goal wi...

Location

United States , Miami, FL / Boston

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

10+ years of experience in data analytics, business intelligence, or data product management
At least 3 years in a leadership or head-of-function role
Proven experience delivering data or analytics products to enterprise customers, ideally in retail, AI, or SaaS environments
Deep understanding of data quality frameworks, reporting pipelines, and analytics visualization platforms (e.g., Tableau, Power BI, Looker, or similar)
Strong familiarity with data engineering workflows (ETL, data modeling, API integrations)
Experience leading cross-functional collaboration across product, engineering, and commercial teams
Exceptional analytical, strategic thinking, and communication skills
Knowledge of retail operations, shrinkage, and loss prevention analytics
Proven ability to build scalable reporting and analytics products from concept to market

Job Responsibility

Build and own the Customer Intelligence Product Line that delivers actionable insights derived from Everseen’s AI platform and integrated third-party data sources
Define and maintain data quality and reporting standards to ensure reliable, consistent, and accurate insights for all customer-facing analytics products
Collaborate cross-functionally with the Data & Intelligence, Engineering, Research, Operations, and Sales & Marketing teams
Champion quality and continuous improvement, ensuring data integrity, performance consistency, and adherence to regulatory or contractual data standards
Develop and manage KPIs for intelligence product adoption, customer satisfaction, and product quality
Partner with Sales and Customer Success to translate intelligence insights into customer value stories and revenue opportunities
Lead a small but growing team of data quality analysts, reporting specialists, and data product managers as the product line scales

Fulltime

Data and Analytics Engineer Intern

The Data and Analytics Engineer Intern will assist in designing, building, and t...

Location

United States , Irvine

Salary:

17.00 - 22.00 USD / Hour

Trace3

Expiration Date

Until further notice

Requirements

Enrollment in the Junior or Senior year of an undergraduate program or master’s program at an accredited college or university
Candidates should be pursuing a field of study applicable to the Data Intelligence internship
Cumulative grade point average (GPA) of 3.0 or better
Ability to work independently on assigned tasks and accepts direction on given assignments
Self-motivated individuals with a customer mindset and desire to help people
Enthusiasm for technical problem solving with attention to detail and strong communication skills
Ability to learn and research in a dynamic and engaging environment
Availability to work 40 hours per week throughout the internship

Job Responsibility

Assist in designing, building, and testing data platforms and analytics solutions to generate actionable insights for our customers
Partner with our Data Intelligence Team to determine the best approach around data ingestion, structure, and storage, then work with the team to ensure these are implemented accurately
Contribute ideas on how to make our customers’ data more valuable and work with members of Trace3’s Engineering Team to implement solutions

What we offer

Comprehensive medical, dental and vision plans for you and your dependents
401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
Competitive Compensation
Training and development programs
Major offices stocked with snacks and beverages
Collaborative and cool culture
Work-life balance and generous paid time off

Fulltime

Senior Analytics Engineer

Our vision is to build the next generation platform to enable easy and fast crea...

Location

United States , San Francisco

Salary:

170000.00 - 208000.00 USD / Year

Descript

Expiration Date

Until further notice

Requirements

7+ years of experience in Analytics Engineering, Data Engineering, or Data Analytics
Proficiency in SQL, Python, and dbt
Strong communication skills and the ability to translate business needs into tractable work items
Extensive experience with prosumer and/or enterprise SaaS products
Curiosity, savviness to navigate in a dynamic environment, and a growth mindset

Job Responsibility

Design, develop, and optimize robust data models to facilitate seamless reporting, analysis, and experimentation for marketing, product, and finance teams
Spearhead the creation of advanced marketing pipelines, ensuring data flows efficiently and accurately to support customer segmentation, campaign optimization, and ROI analysis
Collaborate closely with cross-functional teams to refine metrics and build intuitive dashboards that empower stakeholders with actionable insights
Standardize, monitor, and document data assets, ensuring data integrity and consistency throughout our analytics infrastructure

What we offer

generous healthcare package
401k matching program
catered lunches
flexible vacation time

Fulltime

Senior Analytics Engineer

Join Qargo as a Senior Analytics Engineer and turn complex logistics data into c...

Location

Belgium , Ghent

Salary:

Not provided

Qargo

Expiration Date

Until further notice

Requirements

Extensive experience in data analytics, BI engineering, or analytics engineering in a SaaS or data-driven environment
Strong proficiency in SQL, data modelling, and dashboarding tools (Lightdash, Superset, Tableau, Looker, or PowerBI)
Experience with analytics platforms such as Mixpanel and user behavior tracking methodologies is a plus
Proven ability to collaborate effectively with multidisciplinary teams (product, engineering, sales, finance)
Strong analytical and problem-solving skills, with an eye for scalability and data quality
A background in Computer Science, Data Engineering, Statistics, or a related field
A proactive mindset with the ability to take ownership of complex problems and guide them to completion

Job Responsibility

Own and evolve Qargo’s data architecture, ensuring scalable, reliable and high-quality data pipelines
Maintain, extend and optimise our in-app Lightdash dashboards, including operational, financial, and performance insights
Build and refine internal BI dashboards to support data-driven decision-making across departments
Develop account management dashboards that reveal feature adoption, revenue insights, and upsell opportunities
Create product and engineering analytics, including feature usage dashboards using Mixpanel or custom-built tracking solutions
Lead integration-related reporting, providing visibility on integration health, tenant usage, and performance
Build billing and cost-analysis dashboards, including API call cost allocation and tenant-level breakdowns
Mentor team members, set best practices, and raise the bar for analytics engineering within Qargo

What we offer

Real impact and ownership in a growing international scale-up
A supportive and collaborative team culture
Hybrid working setup with flexibility and trust
Opportunities to learn, grow, and expand your technical knowledge
Competitive salary and benefits package

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

4+ years in Data Engineering and AI/ML roles
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
Amazon S3 (Parquet) with lifecycle management to Glacier
AWS Glue Catalog and Crawlers
AWS Step Functions, AWS Lambda, Amazon EventBridge
CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
Amazon Redshift and Redshift Spectrum
IAM (least privilege), Secrets Manager, SSM

Job Responsibility

Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
Develop and optimize data architectures supporting analytics and ML workflows
Ensure data integrity, security, and compliance with organizational and industry standards
Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
Build predictive and prescriptive models leveraging AI and ML techniques
Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
Perform feature engineering, statistical analysis, and data preprocessing
Continuously monitor and optimize models for accuracy and scalability
Integrate AI-driven insights into business processes and strategies
Serve as the technical liaison between NStarX and client teams

What we offer

Competitive salary and performance-based incentives
Opportunity to work on cutting-edge AI and ML projects
Exposure to global clients and international project delivery
Continuous learning and professional development opportunities
Competitive base + commission
Fast growth into leadership roles

Fulltime

Software Engineer - Growth & Insights Team

Intermediate Software Engineer role on the Growth and Insights Engineering team ...

Location

United States , Atlanta

Salary:

Not provided

PagerDuty

Expiration Date

Until further notice

Requirements

2+ years of experience designing, building, and operating large systems with scalability, availability, and performance requirements
Development experience working on customer-facing and web-based systems
Experience with monitoring, observability and logging platforms (e.g. DataDog, New Relic, SumoLogic, Splunk, Segment)
Proficiency in at least one programming language (e.g. Python, Java, Ruby, Elixir etc.)
Have operational experience with modern data stack patterns & tools (e.g. ELT, Kafka, applying software engineering principles to data problems, etc.)
Strong verbal and written communication skills

Job Responsibility

Designing, coding, testing and shipping backend applications or micro-services, APIs or front-end interfaces
Build and develop the core infrastructure and tooling
Help drive and define team standards by participating in code reviews
Collaborate with product and UX to deliver the highest quality customer experiences
Lead post incident reviews and drive systematic improvements to prevent recurring issues
Collaborate with other engineering teams globally to define and implement development standards
Champion observability and monitoring best practices across the organization
Participate in a 24/7 on-call rotation

What we offer

Comprehensive benefits package from day one
Flexible work arrangements
Company equity
ESPP (Employee Stock Purchase Program)
Retirement or pension plan
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent
Paid volunteer time off: 20 hours per year

Fulltime

Data Engineer, Customer Insights & Analytics

Trimble Inc.

Location:
United States , Westminster

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 16, 2026

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Trimble Inc.

Location:United States , Westminster

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Job Description:

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