Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineering Instructor - REMOTE. In this critical role, you will harness the power of technology to train and inspire individuals from diverse backgrounds to pursue rewarding careers in data engineering. The instructor will drive the curriculum forward by integrating modern tools and methodologies, ensuring students gain necessary skills such as Python, SQL, and Cloud Technologies. As a leader in the educational process, you will also be responsible for facilitating hands-on learning and mentoring students through their training journey. This remote position offers flexibility while contributing to meaningful community impact. - Deliver high-quality instruction in Data Engineering covering essential tools and technologies. - Manage and monitor student performance, providing individual feedback and support. - Facilitate hands-on labs, guiding students through practical coding exercises. - Leverage AI tools to enhance learning experiences and demonstrate technical concepts. - Support the curriculum by maintaining and updating lesson plans. - Handle administrative duties, including updating learning management systems. Qualifications - Bachelor’s Degree in Computer Science, Data Science, or related field, or equivalent experience. - Minimum 1 year of teaching or mentoring experience in a technical environment. - Proficiency in Google Gemini and other AI tools for instructional use. - Experience with Unix/Linux command line and basic shell scripting. - Knowledge of version control using Git and GitHub. - Strong Python programming skills, including libraries like NumPy and Pandas. - Familiarity with relational databases and SQL programming. - Experience with Big Data frameworks and ETL processes. - Proficiency in data visualization tools, specifically Tableau. - Experience using AWS services relevant to data analytics. Benefits - Competitive hourly compensation at $60/hour. - Opportunities for professional development and continuous learning. - Flexible remote work environment. - Be part of a mission-driven organization focused on community impact. - Access to comprehensive healthcare benefits. - 401K match to support your financial future. - Join a collaborative and supportive team culture.

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.

Senior Data Engineer - Databricks / AWS Location: Remote, however the position supports a federal agency and you MUST reside near one of the following locations, OR will relocate. What location do you reside near? Lanham, MD; Martinsburg, WV; Memphis, TN; Washington, DC; Austin TX or Dallas, TX. Salary based on technical experience and technical interview Employment Type: Full-Time Position Overview Seeking a Senior Data Engineer to support enterprise data platform initiatives in a federal environment. This role will focus on designing, developing, and optimizing Databricks-based data solutions within AWS cloud environments. The ideal candidate will be a Databricks SME with experience building scalable, secure, and high-performance data pipelines supporting mission-critical systems. Key Responsibilities - Design and implement data pipelines and data lakehouse architectures using Databricks and AWS - Optimize performance of large-scale distributed data processing workloads - Implement data governance, security, and access controls - Integrate data across enterprise systems and cloud services - Collaborate with architects and stakeholders on data strategy and platform design Requirements - Bachelor's degree in Information Technology, Computer Science, Information Systems, or related field - Strong experience in AWS Cloud technologies and/or Databricks - Experience managing complex, interrelated application development and testing tasks - Knowledge of tax processing, tax compliance, case management, and taxpayer data preferred - Responsible for technical quality and coordination with government technical leads - Advanced Cloud and/or Databricks certifications preferred Required Qualifications - 8+ years of experience in data engineering - 3-5+ years of hands-on Databricks experience - Strong experience with AWS data services (S3, Glue, Lambda, etc.) - Experience with ETL/ELT processes and data modeling Benefits Overview Fathom Management, Inc. offers a comprehensive and competitive benefits package: - Paid vacation, sick leave, and holidays - Medical, dental, and vision insurance - Life insurance coverage - Short-term and long-term disability insurance - 401(k) retirement plan with company match and immediate vesting - Military leave - Training and professional development opportunities - Tuition reimbursement - Employee wellness programs - Commuter benefits - And more Equal Employment Opportunity (EEO) Fathom Management, Inc. is committed to providing equal employment opportunities to all employees and applicants. All employment decisions-including recruiting, hiring, training, promotion, compensation, benefits, and termination-are made without regard to race, color, religion, creed, national origin, sex, age, marital status, sexual orientation, gender identity, citizenship status, veteran status, disability, or any other characteristic protected by applicable federal, state, or local law.

Staff Software Engineer, Data Platform About Ladder We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families. So, we got to work. We developed a method of real-time underwriting leveraging AI and, in doing so, reduced the months-long process of applying for life insurance to minutes. Our digital experience is quick (instant decisions!), loved by users (check out our Trustpilot or Google reviews) and prolific ($74 billion+ in coverage provided). About the role We are looking for a powerhouse Staff Software Engineer with battle-tested experience building ETL pipelines at massive scale. You will take ownership of our toughest backend and data plumbing challenges, bridging our transactional systems (Datomic) with our analytical and streaming infrastructure (BigQuery, Kafka, Flink, DBT) to architect resilient, elegant, and high-volume data pipelines. If you dream in immutable data structures and love using functional programming to untangle architectural knots, we need you. The ideal candidate brings demonstrated experience in software engineering, leadership maturity and a deep understanding of engineering infrastructure. This is a remote role based in one of the 22 States Ladder is currently hiring in - AZ, CA, CO, CT, FL, GA, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OR, PA, TX, VA, WA, WI. Please note, Ladder is not currently sponsoring or transferring OPT or H1-B visa's. How You'll Make a Difference As a senior technical leader on the team, you won't just be writing code, you'll be shaping our entire data strategy. You will: - Architect and Build: Design, deploy, and scale robust data pipelines that reliably move and transform data between Datomic, Kafka, and BigQuery. - Tame the Chaos: Build elegant, fault-tolerant ETL systems leveraging frameworks like DBT to ingest, sanitize, and normalize messy, unstructured data from dozens of third-party APIs and legacy vendors. - Master the Stream: Evolve our event-driven architecture, optimizing streaming performance (Kafka/BEAM) to support real-time machine learning models - Drive Technical Excellence: Act as a force multiplier for the engineering team. You'll set standards for backend architecture in Clojure, mentor peers, and make high-stakes technical decisions that scale with our rapid growth. - Bridge the Gap: Partner closely with Data Science, Product and Business Development teams to ensure our data infrastructure proactively serves the evolving needs of the business. Who You Are - A seasoned technical leader: You bring 8+ years of rigorous software or data engineering experience to the table, backed by a strong academic foundation (BS or MS in Computer Science or a related field). You have a proven track record operating at a Staff or Principal level, where you don't just write code - you define technical strategy and mentor teams. - A Clojure authority: You have deep, production-grade experience natively architecting complex backend systems in Clojure and the JVM. Functional programming and immutable data structures aren't just concepts to you; they are your preferred tools for building highly reliable software. - A medallion architect: You have 4+ battle-tested years designing high-volume ETL/ELT pipelines at massive scale. You are an expert at structuring data lakes through Raw/Bronze, Cleansed/Silver, and Curated/Gold layers, and you rely on advanced dbt modeling to ensure pristine data quality. - A modern data stack master: You have extensive, hands-on experience operating cloud data warehouses (specifically BigQuery), streaming infrastructure (Kafka), and processing frameworks (Apache Beam, Flink, or Spark). Wrangling messy, unstructured third-party API data into clean, ready-to-query models is second nature to you. - An autonomous systems thinker: You thrive in ambiguity and deeply understand the harsh realities of distributed systems. You don't just patch bugs; you design elegant, event-driven architectures that prevent entire classes of problems from happening in the first place. Technologies We Use - Backend: Clojure, JVM - Data: Datomic, BigQuery, BEAM, Sigma, SQL - Infrastructure: Kafka, Docker, Kubernetes, Packer, Terraform, GCP, GraphQL - Frontend: Typescript, JavaScript, React What we Offer Whether you work in our beautiful office in Palo Alto or remotely, Ladder is highly collaborative and fun. To support you in your role, we offer fantastic perks and benefits that reflect our mission of care and support, including: - Excellent medical, dental, and vision coverage | We offer competitive healthcare,dental and vision plans for you and your family. - Flexible paid time off | Take the time that you need to rest and recharge, including our week-long winter holiday closure. - Stock options | We offer competitive stock option packages to participate in the success of building Ladder - A rewarding 401k match program | We'll match up to 4% of your contributions as you save for your retirement goals. - Ladder Fit Program | Your health matters. That’s why Ladder provides a monthly reimbursement for wellness-related expenses. - Commuter benefits | When you work from the office, you will receive pre-tax - benefits for your commute and free parking. - A stocked, beautiful new office | Located in downtown Palo Alto, our office was specifically designed to accommodate all working styles. We've invested in technology to support our hybrid team, plus we provide office snacks and daily catered lunches so that team members can work well and have fun together. - Paid parental leave | We think it's crucial that new parents have time to adjust to their new lives without worrying about work, so we provide all parents inclusive of birthing, adoption, or fostering ten weeks of paid baby bonding. - Work-from-home flexibility and support | We recognize that everyone's homelife is different and support remote and hybrid work. Upon joining, we provide a one-time remote office stipend for all team members and then a monthly stipend to cover WFH costs such as the internet. - Fun company-wide events | Whether we work locally or remotely, we genuinely enjoy spending time together. That’s why we plan fun virtual and in-person events to let loose and laugh. The base pay range targeted for this position is $160,000 - $230,000. This role is eligible for equity and benefits as shared above. Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience. Ladder is building a diverse team of talented and enthusiastic people. We are an equal opportunity workplace. At Ladder, differences are celebrated and supported to benefit our people, product, and community. Let us know why you're interested in this position and what unique contributions you can make to the Ladder team. We look forward to hearing from you. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you’re interested: we'd love to know how you can elevate our team with your unique experience! By clicking "Submit Application," you acknowledge that you have read and agree to the Ladder Job Applicant Privacy Policy and Notice at Collection. By clicking "Submit Application," you acknowledge that you have read and agree to the Ladder Job Applicant Privacy Policy and Notice at Collection.