Job Description Amazing Career Moments Happen Here Transforming the insurance industry is ambitious, we know. That's why at Applied, we're building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers - all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the insurtech game, we're not just redefining what's achievable, we're creating a place where amazing career moments are made possible. Position Overview We're seeking a Data Engineer to build and enhance data solutions and AI initiatives for the business of insurance. In this role, you will work closely with the Principal Data Architect, Data Scientists, and Software Engineers to build, model, and maintain data solutions as we optimize data architecture and accessibility of large-scale datasets for our global teams. What You'll Do - Code BigQuery procedures, functions, and other database objects by applying expert knowledge in BigQuery SQL and ANSI SQL - Implement scalable and efficient data models within our data lake, with a focus on BigQuery - Manage and optimize data storage, partitioning, and clustering strategies to ensure high performance and reliability of our data infrastructure - Develop and implement features and enhancements in BigQuery, levering your expertise in SQL and cloud-based data warehousing technologies - Collaborate with cross-functional teams to understand requirements and deliver solutions aligned with business objectives, security requirements, and guidelines for data governance - Develop documentation for the team to support design discussions - Ensure data integrity and quality by implementing robust data validation and error-handling mechanisms. Maintain and advocate for these standards through code review - Identify and implement improvements across the full lifecycle of data management, from ingestion to ETL processes and final reporting layers, to increase productivity on the team - Continuously build knowledge of industry trends and advancements in data engineering and big data technologies We're Excited to Learn More About You We're looking for someone who: - Can work remotely or from an Applied office Your experience should include some or all of the following: - 3+ years focused on modeling, building, and maintaining data solutions - Proven experience with BigQuery and cloud-based data warehousing solutions - Advanced knowledge of data modeling, data warehousing, and big data architecture - Experience managing and optimizing BigQuery and Google Cloud Platform data services - Proficiency in SQL and Python to manipulate, store, manage, or retrieve data assets - Knowledge of Agile frameworks, ideally Scrum, and tools like Jira and Confluence - Ability to communicate with global team members to clarify requirements, confirm priorities, and deliver solutions within committed timelines - Advanced analytical and problem-solving skills, with a detail-oriented mindset - Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience - We proudly support and encourage people with military experience, as well as military spouses, to apply When You Join Team Applied, You Can Expect: A culture that values who you are and recognizes that you aren't just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day. We flex our time together , collaborating remotely and in-person to empower our teams to work in the ways that work best for them. A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day: - Medical, Dental, and Vision Coverage - Holiday and Vacation Time - Health & Wellness Days - A Bonus Day for Your Birthday Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/ Our targeted starting base salary in the United States for this position ranges from $60,000 - $120,000. To determine a new team member's starting pay, we consider a variety of factors, including someone's depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission. Your Security Matters: Our candidates' personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. EEO Statement Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don't discriminate, and we are committed to recruit, develop, retain , and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law. #LI-Remote

Lob was founded in 2013 by technical co-founders with a vision to connect the world one mailbox at a time. Today, we're transforming the way businesses use direct mail and bringing the power of technology to a traditionally manual channel. Our modern logistics and fulfillment engine helps businesses to build and scale high-quality, personalized direct mail programs without the operational burden. As we grow to meet the evolving needs of our customers and expand our product offerings, we’re building a team to shape the future of direct mail. About The Role We’re seeking an experienced Staff Data Engineer to lead the design and buildout of Lob’s next-generation unified event tracking platform. The consolidated platform will feed a diverse set of use cases, including both customer-facing analytics and internal operational mail tracking. You will work with your colleagues on the Data, Engineering, and Product teams to design the new platform and lead the transition away from the old. You will also coach and mentor engineers on your team and drive us to raise the bar on trustworthiness for the entire data ecosystem. Some projects to get excited about: - Collaborate with colleagues in the Data, Product, and Engineering teams to unify Lob’s foundational data ecosystem and enable the buildout of internal and external data products - Create modular, reusable frameworks to enable other engineering teams to publish events to the unified platform - Implement thorough monitoring and alerting to ensure the health of the data platform - Apply software development best practices to ensure maintainability of the platform - Partner with the Engineering Manager to set the Data team’s roadmap & define team processes - Coach and mentor mid-level engineers on the Data team regarding technical best practices and problem-solving - As a Staff Data Engineer, you’ll... - Create and maintain documentation for data products and systems - Advise stakeholders on the constraints and assumptions of the data processed through the unified data platform - Deprecate outdated legacy systems without negatively impacting core functionality for end users - Monitor Cloud and SaaS spend for unusual spikes and seek out opportunities to save costs - Participate in the team on-call rotation (approximately 1 in 4 weeks). Triage and resolve alerts as needed - Coordinate with other Staff+ engineers on the broader the tech team to align decision making and execute strategic initiatives What you will bring to this role... - Bachelor’s or Master’s degree in a quantitative field, or equivalent work experience - At least 8 years (but preferably 10 or more) of combined experience in Data, ML, and/or Software Engineering - Expertise in Cloud Data Warehousing (Snowflake strongly preferred, Redshift is a plus) - Expertise in streaming data processing systems such as Kafka and Apache Flink - Expertise in modern software development fundamentals including APIs, version control, containerization, and CICD - Expertise in a variety of database types, including transactional databases (PostgreSQL preferred) and document/vector databases (like Elasticsearch), with ability to select the right tool for a given job - Familiarity with dbt (data build tool) - Familiarity with pipeline orchestration engines (Apache Airflow or Prefect preferred) - Familiarity with Change Data Capture (CDC) patterns and methods - Excellent verbal, written, and visual communication skills - Excellent organizational and project management skills - Ability to be decisive & adaptable in the face of ambiguity - Experience with AI-assisted coding tools like ClaudeCode or Cursor - Proficient with project management tools including Jira Since great engineers come from a variety of backgrounds, it doesn’t particularly matter if you have a specific degree—we want to hear about your contributions in a real-world setting. Compensation information The compensation for this role consists of a base salary + additional RSUs. Annual Base Salary: $175,000- $200,000 <#LI-REMOTE #LI-RW1 “Lob’s salary ranges are based on market data, relative to our size, industry and stage of growth. Salary is one part of total compensation, which also includes equity, perks and competitive benefits. Salary decisions are based on many factors including geographic location, qualifications for the role, skillset, proficiency and experience level. Lob reasonably expects to pay candidates who are offered roles within the provided salary ranges.” We offer remote working opportunities in AZ, CA, CO, DC, FL, GA, IA, IL, MA, MD, MI, MN, NE, NC, NH, NJ, NV, NY, OH, OR, PA, RI, TN, TX, UT, and WA, unless specified otherwise in the job description above. If you are looking for a progressive, fun-spirited, and mentally stimulating environment, come join us at Lob! Our Commitment to Diversity Lob is an equal opportunity employer and values diversity of backgrounds and perspectives to cultivate an environment of understanding to have greater impact on our business and customers. We encourage under-represented groups to apply and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or criminal history in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance. Recent awards #88 on BuiltIn's Best Remote Midsize Companies to Work For in 2025 BuiltIn Best Remote Midsize Companies to Work For in 2024 BuiltIn Best Midsize Companies to Work For 2022

• Act as the technical reference for Data Architecture • Serve as the focal point for architectural decisions in high-complexity, cross-cutting strategic initiatives • Ensure alignment between business strategy and technical execution • Design reference architectures and guidance for corporate use, aligned with IT strategy and industry best practices, considering: • Functional and non-functional requirements • Internal and external data integrations • Security, scalability, performance, resilience, cost, and observability • Address vendor-agnostic and interoperable solutions across major cloud providers (Azure, AWS, GCP, and Oracle) • Improve internal data architecture processes, lead technology initiatives, facilitate discussions across IT disciplines, and influence technical decisions • Ensure reuse, rationalization, and best practices for a highly complex environment

• Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments. • Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies • Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations • Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments • Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats • Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices • Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering