At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you have the opportunity to create something exceptional, build something sustainable and make a real impact. We are BUILT FOR THE WILD™.

Industry: Manufacturing
Company Size: 501-1,000 employees

YETI

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At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you’ll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side. Together, you’ll help our customers get the high-quality gear they need to make the most of their adventures. We are BUILT FOR THE WILD™.

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI’s enterprise data platform with a strong emphasis on Azure Databricks and Google BigQuery. This role is critical to enabling modern analytics, advanced reporting, and data-driven decision-making across the enterprise. This position offers an extremely rare and unique opportunity to join a highly profitable, fast-growing business.

This role requires a blend of skills typically found in the specialized roles of Data Modeler, Data Architecture, Data Analyst, and Administration of Data tools. Additionally, having experience in agile development, and how to balance the need to maintain operations versus the need to build things the right way is an absolute must.

**Responsibilities**

- Work with business customers and data analysts to define detailed requirements from broader business challenges

- Translate those requirements to logical and physical models that satisfy analytical needs

- Design and build scalable ELT/ETL pipelines using Google Stored Procedures in BigQuery, Databricks, Spark, Airflow/Google Composer and Google Dataflow

- Lead development of analytical data models using Databricks and Google BigQuery

- Integrate SAP data sources including SAP HANA and S/4HANA

- Optimize data performance of Google Vertex AI engineering and ML pipelines

- Partner with business and analytics teams to translate requirements into technical solutions

- Enforce data quality, reliability, and governance best practices

- Perform data profiling and analysis to assess data quality patterns, recommend data cleansing rules, conforming data standard rules and matching algorithms

- Build Data pipelines for SAP and non-SAP data sources to load into BigQuery

- Own the data infrastructure of our existing Google BigQuery Data warehouse and other related GCP services

- Assist ETL and BI developers with complex query tuning and schema refinement

**Qualifications And Attributes**

- Bachelor’s degree in computer science or related discipline

- At least 8 years of experience in data engineering primarily in Google BigQuery and intermediate skills in Databricks.

- Expert in writing, analyzing and tuning complex SQL queries

- Extensive experience with Python programming

- Hands-on experience in GCP BigQuery, Google Airflow, Dataflow and Databricks.

- Must have a good understanding of Dimensional Modeling and ER-Modeling

- Candidates should demonstrate openness to adopting unfamiliar tools and acquiring proficiency in new programming languages.

- Strong problem-solving ability and a positive attitude

- Experience in extracting data from SAP HANA and Salesforce tools

- Experience/Knowledge of SAP Datasphere is a huge plus.

- Experience with Java and NodeJS

- Terraform, Docker, and CI/CD experience preferred

LW1

**Benefits & Perks**

Click here to learn about the benefits and perks we offer at YETI.

**YETI is proud to be an Equal Opportunity Employer.**

~~Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees. We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD. Find out more about our commitment to DE&I at yeti.com/esg.html.~~

~~All applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.~~

YETI Applicant Privacy Notice

~~YETI welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require accommodation in order to apply for a job, please contact us at accommodationrequest@yeti.com. ~~

Sr. Data Engineer

We’re the manufacturing partner of choice that helps a diverse customer base design and build products that improve the world.

We love to hear your thoughts, comments and ideas so feel free to like, share and comment away. Any question or opinion is good to go as long as it is respectful and falls within the scope of this page. Derogatory comments, spam and unsolicited selling are not welcome here and such posts will be removed.

Industry: Appliances, Electrical, and Electronics Manufacturing
Company Size: 10,001+ employees

Flex

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.

**General Purpose:**

Responsible for providing expertise to acquire, manage, manipulate, and evaluate data and report results, and escalating data integrity issues.

**Principle Accountabilities ****:**

Daily Operations

- Identify issues and conduct research to identify the best course of action to correct the data

- Evaluate and problem solve issues with current and planned systems as they relate to the integration and management of patient data

- Evaluate reports of data duplicates or errors to provide ongoing appropriate inter-departmental communication and monthly or daily data reports

- Monitor for timely and accurate completion of select data elements

- Identify, review, and interpret trends or patterns in complex data sets

- Monitor data dictionary statistics

Data Capture

- Develop and maintain databases and data systems necessary for projects and department functions

- Acquire and abstract primary or secondary data from existing internal or external data sources

- Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality

- Perform data entry, either manually or using scanning technology, when needed or required

Data Reporting

- Interpret data and develop recommendations based on findings

- Develop graphs, reports, and presentations of project results

- Perform basic statistical analyses for projects and reports

- Create and present quality dashboards

- Generate routine and ad hoc reports

**Specialized Job Responsibilities:**

- Evaluate the data that comes in from each department

- Build reports that compile the data into simple and understandable format for management

- Coordinate with other departments and collect data daily

- Make use of the statistics and the programs provided by the company

- Work closely with senior management and help them find solutions

- Design efficient data collection techniques and prepare reports in the stipulated time

- Check the data to avoid mistakes

- Great ability with numbers as you will have to deal with complicated algorithms

**Education/ Experience**

A BS in Mathematics, Economics, or Computer Science.

Typically, then, a data analyst will want to have at least 1-2 years experience in a specific field when applying for a job in said field.

Same as grade 23.

Typically, then, a data analyst will want to have at least 2-4 years of experience in a specific field when applying for a job in said field.

**Knowledge/Skills/ Abilities**

Technical expertise regarding data models and database design development. Understanding of XML and SQL.

Proficient in MS Word, Excel, Access, and PowerPoint.

Experience using SAS, SPSS, or other shop floor systems. Statistical package knowledge is desirable for analyzing large datasets.

**Programming Skills Preferred. Adept At Queries And Report Writing.**

Knowledge of statistics, at least to the degree necessary in order to communicate easily with statisticians.

Experience in data mining techniques and procedures and knowing when their use is appropriate.

Ability to present complex information in an understandable and compelling manner.

- Site

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Data Analyst

Abode Money is a financial savings platform for homeowners, starting with property taxes and expanding across insurance, utilities, and mortgage costs.

The platform combines artificial intelligence with local expertise to help homeowners automatically identify and activate savings. Its first offering, automated property tax appeals, enables homeowners in all 50 states to lower assessments and save thousands annually.

Industry: Financial Services
Company Size: 11-50 employees

Abode Money

**About Abode Money**

Abode Money is building the financial home for your home. Our mission is simple: Make homeownership more affordable for everyday homeowners. We automate the hard parts of managing and saving on homeownership costs like property taxes, insurance, utilities, and more.

Everything in home finance today caters to the transaction, the home buyer or seller, while the homeowner is overlooked. With non-mortgage costs up over 50% in the past five years, homeowners are struggling more today than ever before.

We have incredible backers, including Core VC, Drive Capital, Sequoia and 81 Collection.

The Role

We’re looking for someone who is naturally curious about how products grow and why users behave the way they do.

You’ll work closely with the growth team to analyze performance, explore product and funnel data, and help us understand what’s actually driving outcomes. This is a hands-on role where you’ll contribute directly to decisions that shape the product and growth strategy.

If you enjoy digging into numbers, forming hypotheses, and figuring out what’s really going on beneath the surface, you’ll do well here.

Key Responsibilities

- Funnel & Product Analysis: Use Mixpanel to explore user behavior across the funnel. Identify where users drop off, what drives conversion, and how product usage connects to growth.

- Dashboarding & Visualization: Build and iterate on dashboards that make key metrics easy to understand and act on.

- Exploration & Hypothesis Building: Dig into data to spot patterns, ask questions, and form hypotheses about what’s driving performance.

- AI-Integrated Workflows: Use tools like Claude and MCP-powered workflows to accelerate analysis, generate reports, and experiment with lightweight forecasting.

- Performance Insights: Surface trends, anomalies, and opportunities in growth and product data, and help translate them into action.

- Sharing Learnings: Communicate findings clearly—whether that’s a quick insight, a pattern you noticed, or a deeper analysis.

**Qualifications**

- Data-Driven by Default: You naturally look to data to understand how things work and make decisions.

- Curiosity & First-Principles Thinking: You’re interested in the “why” behind metrics—user behavior, psychology, and incentives.

- Self-Starter: You don’t wait for perfect instructions. You explore, ask questions, and follow threads on your own.

- AI-Native Workflow: You’ve used tools like Claude to think through problems, analyze information, or automate parts of your workflow.

- Technical Comfort: Comfortable working with data and learning new tools quickly; exposure to Mixpanel or similar analytics platforms is a plus.

- Clear Communicator: You can explain what you’re seeing in a simple, direct way.

Why This Role

This is an opportunity to develop a deep understanding of how a startup operates through data.

You’ll work on defining and interpreting core KPIs, analyzing funnel and product metrics, and contributing to decisions that shape growth and product direction. Over time, you’ll build strong intuition for how metrics connect to user behavior and business outcomes.

You’ll have meaningful ownership over your work, operating closely with the team and contributing to decisions that directly impact the trajectory of the company.

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