Senior / Staff Data Engineer
Job Summary
Job Description
As an early member of the data team, you will significantly influence the data architecture and strategy of Flow. The Senior / Staff Data Engineer will design, develop, and deploy robust data solutions while ensuring the reliability, scalability, and security of the data ecosystem. Responsibilities include designing and maintaining enterprise-grade data architecture, developing scalable data pipelines, establishing data governance practices, collaborating with stakeholders, and leading initiatives to implement data technologies. The role involves translating business challenges into data solutions.
Must have:
- 7+ years of data engineering experience in scalable data systems.
- Understanding of high availability and fault tolerance in data systems.
- Experience mentoring and leading other engineers.
- Proficiency in SQL, Python, and modern data stack technologies.
- Experience with Google Cloud Platform or other cloud providers.
Good to have:
- Experience with machine learning operations (MLOps).
- Expertise with real-time data processing platforms.
- Experience building data solutions in startup environments.
- Strong analytical skills to solve complex business problems.
Perks:
- Comprehensive benefits package (Medical / Dental / Vision / Disability / Life)
- Paid time off and 13 paid holidays
- 401(k) retirement plan
- Healthcare and Dependent Care Flexible Spending Accounts (FSAs)
- Access to HSA-compatible plans
- Pre-tax commuter benefits
- Employee Assistance Program (EAP), free therapy, acupuncture, and other wellness offerings
11 skills required
Job Details
About the Company
Flow aims to create a superior living environment that enhances the lives of our residents and communities by developing, acquiring, owning, and managing multifamily apartment buildings and the services and technology inside those buildings.
Fulfilling our mission will require an exceptional group of people whose collective output is greater than the sum of its individual parts. Our team members are energized by the opportunity to impact our residents’ lives in meaningful ways. They are bold and creatively ambitious, driven by relentlessly high standards, act with a sense of urgency and accountability, and always, above all, operate with integrity, loyalty, and trust.
About the Role
As an early member of our data team, you will significantly influence the data architecture and strategy of Flow. We are in search of a Senior / Staff Data Engineer who is not only enthusiastic about designing, developing, and deploying robust data solutions but also committed to ensuring the reliability, scalability, and security of our data ecosystem. Your contributions will be foundational in driving Flow towards achieving its goals and making a huge impact on the decision-making capabilities across our entire organization.
At Flow, our mission is to utilize cutting-edge data technologies to enhance decision-making processes across the organization. As innovators in our domain, we aim to not only keep pace with the rapidly changing landscape of data engineering but to be at the forefront of its evolution. You'll build the sophisticated infrastructure that transforms our raw data into actionable insights, empowering teams throughout Flow to make smarter, data-driven decisions that propel our business forward.
Responsibilities
- Design, implement, and maintain our enterprise-grade data architecture leveraging cloud-native technologies
- Architect, develop, and deploy highly scalable and fault-tolerant data pipelines that power business intelligence and analytics capabilities across the organization
- Establish and evangelize data governance practices, creating authoritative datasets that serve as the foundation for data-driven decision making throughout the company
- Collaborate with cross-functional stakeholders to translate complex business challenges into elegant, end-to-end data solutions that deliver measurable value
- Lead strategic initiatives to evaluate, select, and implement cutting-edge data technologies that advance our data infrastructure capabilities
Ideal Background
- Experience working in product & operations-heavy organizations
- A minimum of 7 years of data engineering experience building scalable data systems in engineering-centric organizations
- Deep understanding of the principles and challenges of ensuring high availability, fault tolerance, and efficiency in distributed data systems
- Experience mentoring and leading other engineers. We are seeking candidates who have either direct management experience or a strong desire to take on such responsibilities
- A keen ability to strike a balance between elegant design and pragmatic tradeoffs, all while prioritizing continuous delivery of value to the business High proficiency in SQL, Python, and modern data stack technologies (BigQuery, Fivetran, dbt, etc.)
- Extensive experience designing and implementing data solutions on Google Cloud Platform or other major cloud providers (AWS, Azure) Experience with machine learning operations (MLOps) and productionizing ML models, including building robust data pipelines for model training, deployment, and monitoring
- Proven expertise with real-time data processing and streaming analytics platforms (Kafka, Spark Streaming, Dataflow, or similar technologies)
- Experience building data solutions in fast-moving startup environments Strong analytical skills with an inherent curiosity to understand and solve complex business problems through data
$180,000 - $240,000 a year
Benefits
• Comprehensive benefits package (Medical / Dental / Vision / Disability / Life)
• Paid time off and 13 paid holidays
• 401(k) retirement plan
• Healthcare and Dependent Care Flexible Spending Accounts (FSAs)
• Access to HSA-compatible plans
• Pre-tax commuter benefits
• Employee Assistance Program (EAP), free therapy through SpringHealth, acupuncture, and other wellness offerings
Flow is proud to be an equal opportunity workplace and hires regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity and/or expression, pregnancy, Veteran status any other characteristic protected by federal, state or local law. In addition, we provide reasonable accommodation for qualified individuals with disabilities.
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