Engineering Manager (Remote, US)

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.IntegrityEmpathyTeamworkCuriosityUrgencyWe'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 DetailsWe’re hiring a Engineering Manager, Data Engineering to drive our Data Engineering team’s people, projects, and processes forward. At Openly, our growth has put an emphasis on building and maintaining a robust, scalable data platform to ensure teams can access high-quality data efficiently. Our data engineering function is responsible for designing and maintaining data pipelines, data architectures, and data infrastructure while working closely with data science, business intelligence, and product teams to enable data-driven decision-making across the organization.As the Engineering Manager of the Data Engineering Team, you will provide technical leadership and influence decisions about data architecture, data pipeline strategies, and technical processes. You will drive our data engineering culture, manage and mentor a diverse group of data engineers, and work strategically across teams to ensure our data platform evolves with business needs. While this is primarily a leadership role, this position will also have the capacity to pick up technical work during periods of high demand, demonstrating technical credibility with the team and staying connected to the evolution of our data systems.Key ResponsibilitiesManage, support, and mentor a diverse group of data engineersPartner with the Principal Engineers and engineering leadership to guide the data architecture, scalability, and evolution of our data platformWork closely with data science, business intelligence, and product teams to align data solutions with business objectives, balancing technical investments with business prioritiesIdentify, resolve, or escalate roadblocks and risks that threaten team deliverables and goals, seeking additional context or direction when neededDrive each team member toward their career goals through clear milestones, transparent feedback, and a culture of open communication that sets them up for successTranslating data concepts and requirements into architecture decisions and technical implementation strategiesProvide technical input on data pipeline design, data modeling, and technology selectionsContribute hands-on technical work during peak periods to support the team and maintain technical credibilityEstablish best practices for data pipeline architecture, data quality, and performance optimizationRuns cross functional working groups to deliver on larger company objectivesParticipate in domain standups, weekly 1:1s, team collaborations, biweekly demos, and biweekly retrosShare your knowledge within the data engineering team and with others in the company (e.g., engineering all-hands, engineering learning hour, domain meetings)Partner closely with the management team, HR, and Recruiting to attract, recruit, and develop a diverse team of high-quality data engineersOur StackBackend/Core: Go & PostgreSQLFrontend: Browser-based, VueJS, Webpack, Nuxt & TailwindResearch/Data Science: R, VertexAI, Hex, & PythonData: GCP GCS, BigQuery, Composer/Airflow, Cloud Functions, PostgreSQL, SQL, Python, Aiven Debezium and Kafka, FivetranInfrastructure: Google Cloud (Cloud Run, Kubernetes, Pub/Sub, BigQuery, CloudSQL), managed with Terraform. GitHub for code hosting, DataDog for monitoring, CircleCI for CI/CD pipelines Remote work tools: Slack, ZoomRequirementsIf you don’t think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we’re looking for someone excited to join the team.5+ years of data engineering and data platform development experience, including 3+ years of engineering management or technical leadership in a data/infrastructure/operations environmentDeep experience with data infrastructure components, including data lakes and lakehouses (e.g., Iceberg), data warehouses (e.g., Snowflake, BigQuery), online and offline data stores, and both batch and real-time streaming systemsProven, hands-on expertise designing and maintaining scalable, secure, and cost-efficient data platforms and pipeline architectures — including schema design, data modeling, partitioning, data replication, staging, transformation, and movement — aligned to business goals and objectivesComfortable working with modern data and infrastructure technologies, such as Spark, Flink, Kafka, Airflow, Kubernetes, and similar toolsExperience with Google Cloud data technologies (BigQuery, Cloud Composer, GCS, etc.) or similar cloud data platformsInfrastructure as Code (IaC) experience with Terraform to define, manage, and version cloud data infrastructureProficiency in Python or similar languages (e.g., Java, Scala), with strong SQL skills and performance tuning for analytical workloadsUnderstanding of data governance, security, and compliance best practices (e.g., RBAC, PII handling, auditability), with experience designing systems that meet regulatory and internal standardsDemonstrated ability to understand data requirements, translate them into source-to-target data mappings, and build scalable solutionsExperience guiding and mentoring a diverse group of engineers while balancing their growth with business requirementsHighly autonomous with the ability to prioritize and work through ambiguityAbility to effectively communicate technical and strategic concepts to diverse audiencesExperience or familiarity with agile methodologies and strong organizational skillsCompensation & 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$176,000—$198,000 USDThe 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$176,000—$264,000 USDBenefits & PerksRemote-First Culture - We supported #remotelife long before it was a given. We'll keep promoting it. Competitive Salary & EquityComprehensive Medical, Dental, and Vision Plan OfferingsLife and disability coverage including voluntary optionsParental 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 workplaceAnnual 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-beingPaid Volunteer Service HoursReferral Program and RewardDepending 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.