Senior / Staff Data Engineer

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

Job summary

A leading company in New York is seeking a Senior / Staff Data Engineer to shape their data architecture and strategy. The role involves designing robust data solutions and collaborating across teams to enhance decision-making processes. Ideal candidates will have extensive experience in data engineering, cloud technologies, and a passion for innovative data solutions. Join a dynamic team focused on leveraging data to drive business success.

Benefits

Comprehensive benefits package

Paid time off and 13 paid holidays

401(k) retirement plan

Healthcare and Dependent Care FSAs

Access to HSA-compatible plans

Pre-tax commuter benefits

Employee Assistance Program

Free therapy through SpringHealth

Qualifications

• Minimum of 7 years of data engineering experience.
• Experience mentoring and leading other engineers.
• Strong analytical skills to solve complex business problems.

Responsibilities

• Design and maintain enterprise-grade data architecture.
• Develop scalable data pipelines for analytics.
• Collaborate with stakeholders to deliver data solutions.

Skills

SQL

Python

Data Governance

Data Architecture

Data Pipelines

Machine Learning Operations

Real-time Data Processing

Tools

BigQuery

Fivetran

dbt

Google Cloud Platform

Kafka

Spark Streaming

Dataflow

Job description

Senior / Staff Data Engineer

New York, NY /Technology – Flow Data /Salaried, full-time /On-site

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