Data Engineer - Remote
Sundayy · United States
- Hybrid
- Full-time
- $175,000 / year
- United States
Job highlights
- Lead event tracking platform design and buildout.
- Unify foundational data ecosystem for analytics.
- Develop modular event publishing frameworks.
- Optimize cloud costs and mentor engineers.
- Remote role with competitive benefits package.
About the role
About The Company
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 collaborate with colleagues across Data, Engineering, and Product teams to design the new platform and oversee the transition from legacy systems. Your leadership will be pivotal in coaching and mentoring engineers, elevating the standards of trustworthiness and reliability across our data ecosystem.
This role offers the opportunity to work on impactful projects such as unifying Lob’s foundational data ecosystem, creating modular frameworks for event publishing, implementing monitoring and alerting systems, and deprecating outdated legacy systems without disrupting core functionalities. You will also be responsible for optimizing cloud and SaaS expenditures, participating in on-call rotations, and aligning strategic initiatives across the broader technical team.
Qualifications
- Bachelor’s or Master’s degree in a quantitative field or equivalent work experience
- Minimum of 8 years, preferably 10 or more, of experience in Data, Machine Learning, or Software Engineering
- Expertise in Cloud Data Warehousing (Snowflake preferred, Redshift a plus)
- Proficiency in streaming data processing systems such as Kafka and Apache Flink
- Strong knowledge of modern software development practices including APIs, version control, containerization, and CI/CD pipelines
- Experience with various databases, including transactional (PostgreSQL preferred) and document/vector databases (Elasticsearch, etc.)
- Familiarity with dbt (data build tool) and pipeline orchestration tools like Apache Airflow or Prefect
- Understanding of Change Data Capture (CDC) patterns and methods
- Excellent verbal, written, and visual communication skills
- Strong organizational and project management capabilities
- Ability to work decisively and adaptively amidst ambiguity
- Experience with AI-assisted coding tools such as ClaudeCode or Cursor is a plus
- Proficiency with project management tools like Jira
Responsibilities
- Design, develop, and maintain Lob’s unified event tracking platform to support diverse analytics and operational needs
- Create and document data products, systems, and workflows to ensure clarity and maintainability
- Collaborate with cross-functional teams to unify Lob’s foundational data ecosystem and enable new data-driven features
- Develop modular, reusable frameworks to facilitate event publishing across engineering teams
- Implement comprehensive monitoring and alerting to maintain platform health and reliability
- Advise stakeholders on data constraints, assumptions, and best practices for data governance
- Oversee deprecation of legacy systems, ensuring seamless transition without impacting end-user experience
- Monitor cloud and SaaS costs, identifying opportunities for optimization and savings
- Participate in on-call rotations, triaging and resolving data platform alerts as needed
- Coordinate with senior engineers and cross-team stakeholders to align strategic technical initiatives
- Mentor and coach mid-level engineers, fostering growth and technical excellence within the team
Benefits
- Competitive salary package including base salary and RSUs
- Comprehensive health, dental, and vision insurance plans
- Flexible remote work options across multiple states
- Generous paid time off and holidays
- Professional development opportunities and continuous learning support
- Inclusive and diverse work environment
- Equity participation and other employee perks
Equal Opportunity
Lob is an equal opportunity employer and values diversity of backgrounds and perspectives. We are committed to creating an inclusive environment where all employees feel valued and empowered. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or criminal history in accordance with applicable laws. We encourage candidates from underrepresented groups to apply and join us in shaping the future of direct mail technology.
Key skills/competency
- Staff Data Engineer
- Data Warehousing
- Streaming Data Processing
- Cloud Data Platforms
- Data Modeling
- ETL/ELT
- API Design
- CI/CD
- Data Governance
- Mentorship
Skills & topics
- Data Engineer
- Staff Engineer
- Snowflake
- Kafka
- Apache Flink
- PostgreSQL
- dbt
- Apache Airflow
- Cloud Data Warehousing
- Streaming Data Processing
- Data Platform
- Event Tracking
- Data Modeling
- ETL
- ELT
- APIs
- CI/CD
- Data Governance
- Mentorship
- Remote
How to get hired
- Tailor your resume: Highlight your 8+ years of experience in Data, ML, or Software Engineering, emphasizing Snowflake, Kafka, Flink, and PostgreSQL.
- Showcase leadership: Detail your experience in designing and building data platforms, mentoring junior engineers, and managing complex projects.
- Prepare for technical questions: Be ready to discuss your experience with data warehousing, streaming data, databases, dbt, and CI/CD pipelines.
- Understand Lob's mission: Research how your data engineering skills can transform direct mail technology and align with their innovative approach.
- Ask insightful questions: Prepare questions about the team, technical challenges, and the future of Lob's data ecosystem.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the Staff Data Engineer role at Lob?
- The Staff Data Engineer role at Lob requires expertise in Cloud Data Warehousing (Snowflake preferred), streaming data processing (Kafka, Apache Flink), various databases (PostgreSQL, Elasticsearch), dbt, and pipeline orchestration tools like Airflow. Strong knowledge of modern software development practices including APIs, version control, containerization, and CI/CD pipelines is also essential. Familiarity with Change Data Capture (CDC) patterns and AI-assisted coding tools is a plus.
- What kind of experience is Lob looking for in a Staff Data Engineer candidate?
- Lob is seeking candidates with a Bachelor's or Master's degree in a quantitative field or equivalent work experience, and a minimum of 8 years, preferably 10 or more, of experience in Data, Machine Learning, or Software Engineering. Experience in leading the design and buildout of data platforms, collaborating with cross-functional teams, and mentoring other engineers is highly valued.
- Can I work remotely for the Staff Data Engineer position at Lob?
- Yes, this Staff Data Engineer position offers flexible remote work options across multiple states, providing a great opportunity for work-life balance and geographic flexibility.
- What are some of the impactful projects a Staff Data Engineer will work on at Lob?
- Impactful projects include unifying Lob’s foundational data ecosystem, creating modular frameworks for event publishing, implementing monitoring and alerting systems, and deprecating legacy systems. You will also be involved in optimizing cloud expenditures and aligning strategic technical initiatives.
- How does Lob support professional development for its Staff Data Engineers?
- Lob offers professional development opportunities and continuous learning support as part of its benefits package. This includes access to resources and training to help engineers grow their skills and advance their careers within the company.
- What is the expected level of experience for a Staff Data Engineer at Lob?
- Lob expects a minimum of 8 years of experience, with a preference for 10 or more years, in Data, Machine Learning, or Software Engineering for this Staff Data Engineer role. This senior-level position requires a deep understanding of data systems and the ability to lead complex projects.
- How does Lob ensure data reliability and trustworthiness?