Senior / Staff Data Engineer

Flow; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

An innovative company is seeking a Senior/Staff Data Engineer to shape its data architecture and strategy. In this pivotal role, you'll design and implement robust data solutions that enhance decision-making across the organization. Your expertise will help create a reliable, scalable, and secure data ecosystem, empowering teams to leverage data-driven insights. Join a dynamic environment where your contributions will have a significant impact on the company's growth and success. If you're passionate about data technologies and eager to drive change, this opportunity is perfect for you.

Benefits

Comprehensive benefits package

Paid time off

401(k) retirement plan

Flexible Spending Accounts (FSAs)

Pre-tax commuter benefits

Employee Assistance Program (EAP)

Qualifications

• 7+ years of data engineering experience in building scalable systems.
• High proficiency in SQL and Python with cloud technologies expertise.

Responsibilities

• Design and maintain enterprise-grade data architecture using cloud-native technologies.
• Develop scalable data pipelines for business intelligence and analytics.

Skills

SQL

Python

Data Governance

Cloud Technologies

Data Engineering

Machine Learning Operations (MLOps)

Real-time Data Processing

Analytical Skills

Tools

Google Cloud Platform

BigQuery

Fivetran

dbt

Kafka

Spark Streaming

Dataflow

Job description

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.