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stakeholders on the constraints and assumptions of the data processed through the unified data platform - Deprecate outdated legacy systems without negatively impacting core functionality for end users - Monitor Cloud and SaaS spend for unusual spikes and seek out opportunities to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

General Summary Senior Data Engineers are responsible for designing, developing, and maintaining scalable data platforms and pipelines that align with business objectives and drive operational efficiency. They analyze complex data challenges, architect reliable and secure data systems, and leverage advanced tools and technologies to meet evolving organizational needs. This role centers on the Databricks ecosystem and Python-based data engineering, with a strong emphasis on building production-grade data pipelines, optimizing data workflows, and enabling analytics and reporting capabilities across the organization. Key to success in this role is the ability to collaborate across cross-functional teams, apply critical thinking, and translate business requirements into actionable, high-impact data solutions. Familiarity with machine learning pipelines and feature engineering within a data engineering context is a plus. Analytics Focus Responsible for supporting the development of data pipelines and advanced queries leveraged by the business intelligence team as it develops and deploys dashboards and reports to support data-driven decision-making across the company. Essential Duties and Responsibilities - Design, develop, and maintain scalable, performant data pipelines using Python, PySpark, and Databricks, following Medallion architecture patterns (Bronze, Silver, Gold). - Build and optimize Delta Lake tables, manage schema evolution, and implement data quality checks across ingestion and transformation layers. - Develop and maintain Airflow DAGs for pipeline orchestration, scheduling, and monitoring. - Collaborate with product management and business stakeholders to interpret requirements and define data specifications. - Create and maintain semantic data layers and curated datasets for BI platforms (e.g., Power BI, QuickSight). - Analyze trade-offs between commercial and custom-built data solutions, offering technical guidance to decision-makers. - Troubleshoot and resolve issues across data workflows, pipeline failures, and infrastructure. - Support machine learning initiatives by building feature pipelines, data preparation workflows, and serving layers within the Databricks platform. - Ensure compliance with legal, regulatory, and internal governance requirements across data solutions. - Automate operational processes using CI/CD pipelines and infrastructure-as-code principles. - Establish and promote best practices for data engineering, pipeline development, and monitoring. - Partner with teams across the organization to translate business needs into technical data solutions. - Create and maintain detailed technical documentation including data lineage diagrams, pipeline architecture, and workflow documentation. - Serve as a subject matter expert in data engineering, pipeline optimization, Databricks platform capabilities, and data architecture. - Provide mentorship to junior team members, fostering professional growth and collaboration. - Communicate effectively with leadership and stakeholders regarding project status, risks, and milestones. - Stay current on emerging data engineering technologies and industry trends to drive continuous improvement and innovation. Requirements — Technical Skills - 7+ years of experience in data engineering or related roles. - Strong proficiency in Python and PySpark for data pipeline development and scripting. - Deep hands-on experience with Databricks, including Delta Live Tables (DLT), Databricks Workflows, Unity Catalog, and SQL Warehouses. - Strong knowledge of Medallion architecture (Bronze/Silver/Gold) within Databricks. - Solid understanding of Lakehouse and Delta Lake concepts, including ACID transactions, time travel, and schema enforcement. - Proficiency in Apache Airflow for workflow orchestration and scheduling. - Strong knowledge in relational databases, SQL query optimization, and multiple database systems. - Experience creating semantic data layers for BI platforms (e.g., Power BI, QuickSight). - Experience combining internal and external data sources for in-depth industry and business analyses. - Understanding of cloud computing platforms and integration with on-premise solutions. - Familiarity with CI/CD pipelines, version control (Git), and infrastructure-as-code practices. - Experience supporting ML pipelines and feature engineering within a data platform context is a plus. - Strong understanding of testing methodologies, including data validation, pipeline testing, and automation. - Experience working in regulated industries (e.g., insurance, banking, finance, healthcare). - Databricks certification preferred (e.g., Databricks Certified Data Engineer Associate or Professional). Requirements — Professional Skills - Outstanding analytical and problem-solving skills with the ability to simplify complex tasks and absorb new information rapidly. - Strong written and verbal communication skills, with the ability to convey technical information clearly to both technical and non-technical audiences. - Highly self-motivated, able to take initiative and manage time effectively to meet deadlines and deliverables. - Strong attention to detail with the ability to work independently with minimal supervision. - Ability to manage multiple projects simultaneously in a fast-paced, evolving environment. - Exceptional research skills with the ability to gather, analyze, and synthesize complex information quickly. - Passion for delivering exceptional quality and continuous learning of new technologies and frameworks. - Strong listening skills and the ability to build positive relationships with colleagues, stakeholders, and customers. - Commitment to creating an inclusive, team-oriented environment that aligns with company culture and values diversity. Work Environment - Remote: This position is a fully remote (work‑from‑home) opportunity. - Candidates must be currently located in the United States and authorized to work without sponsorship. - A suitable home workspace that is private and free from distractions is required. - Expected Work Hours: Work schedules are designed to meet both the needs of the role and the organization and may be adjusted as business needs evolve. - Travel: Possible travel to off‑site locations may be required for meetings, as needed. Salary Range : $90,000 - $135,000 and a comprehensive benefits package, please follow the link to our benefits page for details! EMPLOYERS Benefits and Perks About EMPLOYERS: As a dynamic, fast-growing provider of workers' compensation insurance and services, we are seeking a goal-oriented individual willing to put their ideas to work! We offer a positive, challenging work environment, combined with an opportunity to build your career as you help us grow our business, in innovative and imaginative ways that are uniquely EMPLOYERS®! Headquartered in Nevada, EMPLOYERS attributes its long-standing success to its most valuable resource, our employees across the United States. EMPLOYERS is known for the quality service and expertise we provide to our clients, and the exemplary work environment we provide for our employees. We live and breathe our core values: Integrity, Customer Focus, Collaboration, Initiative, Accountability, Innovation, and Personal Fulfillment. These are the pillars that support how we do business with our clients as well as how we treat each other! At EMPLOYERS, you’ll discover an energetic environment that inspires top achievement. As “America’s small business insurance specialist”, we have the resources, a solid reputation and an expanding nationwide identity to enrich your work/life and enhance your career. #LI-Remote Click our link to learn more! About EMPLOYERS