Why OpenlyOpenly is rebuilding insurance from the ground up. We are re-envisioning and enhancing every aspect of the customer experience. Doing this requires a rapidly growing team of exceptional, curious, empathetic people with a wide range of skill sets, spanning technology, data science, product, marketing, sales, service, claims handling, finance, etc. The Openly DifferenceWe created Openly because we saw an evident gap in the market for premium insurance made simple. Consumers deserve more complete coverage at competitive prices. - The Price Difference: Using cutting-edge data and technology, we provide you with customizable, competitive prices to protect your most valuable assets. - The Policy Difference: Coverages are truly customizable to meet your individual protection needs, for both standard coverages and optional add-ons. - The Experience Difference: From tailored claims handling to highly responsive customer service, we are focused on making the home insurance purchasing process a better overall experience. Welcome to your next adventure.At Openly, our people are just as important as our product. For us, collaboration, communication, and work-life balance are more than nice-to-haves— they’re the must-haves that make us who we are. We believe a great company is the result of a shared set of values, so we look for these qualities in every candidate we hire. - Integrity - Empathy - Teamwork - Curiosity - Urgency We've designed our hiring process with you, the candidate, in mind. At every step, you have the chance to present your strengths and learn more about what makes Openly a great place to work. We're committed to Diversity, Equity, & InclusionWe embrace individuality and believe diverse teams are winning teams. Our commitment to inclusion across race, gender, age, religion, identity, and experience drives us forward every day. Job Details We are seeking a Senior Data Engineer to be a technical leader on our data engineering team. This role involves designing and delivering robust, scalable data solutions for Openly's insurance platform. You will apply deep expertise across the data lifecycle—from architecture and pipeline design to optimization and mentoring—to shape how we build, manage, and access data for our products and business intelligence. Key Responsibilities - Architect, build, and maintain high-quality, scalable data pipelines, data models, and data infrastructure across our GCP-based platform. - Lead technical design decisions related to data architecture, pipeline orchestration, data modeling, and cloud infrastructure. - Develop and optimize complex SQL queries and data transformations in BigQuery and PostgreSQL, ensuring performance, reliability, and correctness. - Write production-grade code in Python and/or Go to build and enhance data management frameworks, services, and pipeline tooling. - Partner with data science, business intelligence, product, and operations teams to translate business requirements into reliable data solutions. - Own and improve the full Software Development Lifecycle (SDLC) for data projects: design, development, testing, CI/CD deployment, monitoring, and maintenance. - Leverage streaming and event-driven architectures using Kafka (Aiven/Debezium) to build real-time data pipelines. - Utilize and optimize distributed data processing frameworks such as Apache Spark for large-scale data transformations. - Mentor and provide technical guidance to junior and mid-level data engineers; conduct code reviews and promote engineering best practices. - Share your knowledge within the data engineer team and the engineering organization through all-hands presentations, learning hours, domain meetings, and written documentation. Our stack - Backend/Core: Go & Postgresql - Frontend: Browser-based, VueJS, Vite, Webpack, Nuxt & Tailwind - Research/Data Science: R, ArcGIS, Vertex, & Python - Data: GCP GCS, BigQuery, Composer/Airflow, Cloud Functions, Postgres, SQL, Python, Aiven Debezium and Kafka, Fivetran - Infrastructure: Google Cloud, specifically Cloud Run, Kubernetes, Pub/Sub, BigQuery, and CloudSQL, managed with Terraform. We use GitHub for code hosting, DataDog and for monitoring, PagerDuty for on-call, and CircleCI for running our CI/CD pipelines. - Remote work tools: Slack, Zoom Requirements - 4+ years of data engineering and data management experience, with a proven track record of delivering complex, production-grade data systems. - Strong proficiency in SQL and SQL optimization — including query tuning, indexing strategies, execution plan analysis, and data modeling in BigQuery and PostgreSQL. - Expert-level scripting and programming in Python; experience with Go is a strong plus. - Deep expertise with Google Cloud Platform (GCP), including BigQuery, GCS, Composer/Airflow, Cloud Functions, Cloud Run, Pub/Sub, and CloudSQL. - Proven experience building and operating event-driven and streaming data pipelines using Kafka or similar technologies (Aiven/Debezium experience a plus). - Strong understanding of modern data warehouse and Lakehouse architectures, including multi-layered data modeling patterns (bronze/silver/gold or equivalent). - Infrastructure as Code (IaC) experience with Terraform to define, manage, and version cloud data infrastructure. - Solid understanding of Software Development Lifecycle (SDLC) best practices: CI/CD pipelines, automated testing, code review processes, code repositories, and deployment management. - Experience with data replication tools (e.g., Fivetran, Debezium) and understanding of CDC (Change Data Capture) patterns. - Ability to independently drive data architecture decisions, translate business requirements into source-to-target data mappings, and deliver working, maintainable solutions. - Strong communication skills; able to effectively collaborate with and educate both technical and non-technical stakeholders. - Experience mentoring engineers and leading technical initiatives within a team environment. Nice to Have - Hands-on experience with Apache Spark or other distributed data processing frameworks for large-scale batch and/or streaming workloads. - Familiarity with data observability and monitoring tools (e.g., DataDog, Monte Carlo, Great Expectations). - Prior experience in a regulated industry such as insurance, finance, or healthcare. - Contributions to open-source data engineering projects or internal data platform tooling. - Experience with AI tools such as Claude, Copilot or equivalent Compensation & Benefits: Below is the budgeted salary range for this position. Actual compensation for this position will be determined based on the successful candidate's experience and skills. We are committed to providing a compensation package that not only reflects the responsibilities and requirements of the role, but also the unique expertise that the chosen candidate will bring to our team. Budgeted Salary Range $140,800—$158,400 USD The full salary range shows the min to max salary range for this position. Actual compensation will be commensurate with experience and qualifications and determined based on various factors including the candidate's qualifications, skills, and experience. Full Salary Range $140,800—$211,200 USD Benefits & Perks - Remote-First Culture - We supported #remotelife long before it was a given. We'll keep promoting it. - Competitive Salary & Equity - Comprehensive Medical, Dental, and Vision Plan Offerings - Life and disability coverage including voluntary options - Parental Leave - up to 8 weeks (320 hours) of paid parental leave based on meeting eligibility requirements (Birthing parents may be eligible for additional leave through STD) - 401K Company Contribution - Openly contributes 3% of the employee's gross income, even if the employee does not contribute. - Work-from-home stipend - We provide a $1,500 allowance to spend on setting up your home workplace - Annual Professional Development Fund: Each employee has $2,000 in professional development (PD) funds to spend on activities or resources annually. We want each Openly employee to achieve personal and professional success and to feel supported, confident, and informed about improving their efficiency and productivity. - Be Well Program - Employees receive $50 per month to use towards your overall well-being - Paid Volunteer Service Hours - Referral Program and Reward Depending on position, Employees generally are eligible for cash incentive compensation, including commissions for sales eligible roles. In all cases, eligibility for compensation and benefits is subject to applicable plan and policy terms in effect from time to time. U.S. Citizens, Green Card Holders, and those authorized to work in the U.S. for any employer and currently residing in the US will be considered. Openly is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Openly is an E-Verify Employer in the United States. Openly will make reasonable accommodations for qualified individuals with known disabilities under applicable law. We strive to provide an exceptional applicant and candidate journey when you engage with us. In an effort to respond to applicants in a timely manner, we leverage AI to organize applications and resumes based on required and applicable skills and experience. To allow our applicants to drive their initial interview experience with us, we may leverage an AI-supported scheduling tool so you can choose when to meet with our team. While AI assists with efficiency, all hiring decisions are made by our team members. Rest assured, your data is protected according to privacy laws and company policies. Contact our recruitment team with any questions about our AI-assisted hiring process.

• Passionate about teaching and eager to share knowledge as a freelancer • Act as a coach with a strong understanding of people and their motivations • Explain complex topics to new practitioners • Adapt to the diverse challenges of each day and each course • Apply a range of skills such as people leadership, project expertise, presentation and communication • Work in an agile way, iterating on and experimenting with materials to create great outcomes for students

• Design, develop, and maintain scalable real-time data pipelines to support analytics and operational use cases. • Own and operate cloud-based infrastructure, following a “you build it, you run it” model to ensure reliability, performance, and scalability. • Develop and manage data products, collaborating with a diverse set of stakeholders including product managers, analysts, and engineering teams. • Mentor and support other engineers, contributing to a collaborative and high-performing engineering culture. • Build a deep understanding of a complex business domain and work effectively across teams with multiple dependencies. • Own features end-to-end, from design and implementation through deployment, monitoring, and ongoing improvement.

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW. John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability. Primary Location: United States (US) - IL - Moline Function: Technology Title: Staff Data Engineer - 2026007 Onsite/Remote: Remote Position Your Responsibilities As a Staff Data Engineer for John Deere in Moline, IL, you will: - Develop and support high quality data products by harmonizing data into suitable formats in data lake; - Design data products for analytics; curate datasets for generating actionable insights to grow sales, personalize the customer experience, and make better and faster decisions; - Synthesize data products to support Precision Ag business and related metrics, that aim at making farming more efficient, profitable, and sustainable. - 10% domestic and international travel required to visit other Deere units, Deere test farms, Deere dealers, and customer farms. This is a 100% remote position. Can live anywhere in the U.S. What Skills You Need - 5 years of experience in designing and implementing comprehensive data architecture by transforming event analytics, raw application data, and business systems into actionable business insights, while conducting primary research to analyze key themes and trends. Databricks using modern CI/CD practices - 5 years of experience developing data pipelines using PySpark and Python. Hands-on experience with deploying the python code to Databricks using modern CI/CD practices - 3 years of experience data modeling, data cleansing, data validation, and data analysis for construction or agriculture equipment - 4 years of experience with implementing automated data validation and develop operational tools to highlight support issues - 2 years of experience with Databricks, including building ETL pipelines, developing jobs, and managing clusters for large-scale data processing - 5 years of experience developing insights from high-volume telematics data - 4 years of experience leading team to deliver large-scale complex projects, including team coordination and implementation - 4 years of experience optimizing data and analytics systems through automation using Python Education/Experience - 5 years of related work experience OR Bachelor's degree in Computer Science, Statistics, Engineering, or related field plus 4 years of related work experience What You'll Get At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including: - Flexible work arrangements - Highly competitive base pay and performance bonuses - Savings & Retirement benefits (401K and Defined Contribution) - Healthcare benefits with a generous company contribution in the Health Savings Account - Adoption assistance - Employee Assistance Programs - Tuition assistance - Fitness subsidies and on-site gyms at specific Deere locations - Charitable contribution match - Employee Purchase Plan & numerous discount programs for personal use $170,000 - $180,000 per year + Benefits Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL Please apply on-line at www.JohnDeere.com/USJobs and search for Job Posting Number 2026007 The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control. ACA Section 1557 Nondiscrimination Notice The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.