Senior Data Engineer

Department: Data & Analytics

Location: New York City

Compensation: $180K – $220K • Offers Equity

Employment Type: FullTime

About Posh

We are all social creatures, but the dominant “social” companies today have evolved into digital loneliness machines, driving isolation, anxiety, and mental health challenges around the world.

Human connection is lost. Posh is a beacon guiding us back.

Posh enables anyone to build an IRL community based on shared interests, while connecting consumers with the communities of people just like them. Founded by event organizers who were frustrated with the growing loneliness epidemic and the tools available to build their own event brand, we’ve built the ultimate platform for launching, monetizing, and finding IRL communities of people just like you. In just 5 years, Posh has grown to a team of 65, expanded to 7M+ users, secured $70m in venture funding, and facilitated over $300M in transactions.

About The Role

We are looking for an experienced Senior Data Engineer to lay the foundation for our data infrastructure and drive the evolution of our data systems as we scale our Data Engineering department. As our founding Data Engineer, you’ll have the rare opportunity to architect and build scalable data solutions from the ground up, define best practices, and create a robust, high-performing data environment that fuels our company’s growth as a data-driven organization.

At Posh, you'll design and manage our data warehouse, infrastructure, and pipelines. You'll integrate new data sources and optimize transformations to enable efficient, reliable analytics. Working across the entire data stack—from ingestion to transformation to storage and performance tuning—you'll build robust, scalable, and efficient data systems.

You'll collaborate closely with Product and Engineering teams to define data models, establish governance practices, and create infrastructure that drives company-wide decision-making. Your responsibilities will include maintaining data security, reliability, and monitoring to ensure a trusted, scalable environment.

This role offers a high-growth opportunity as we expand our data capabilities and team. If you're passionate about building from scratch, driving best practices, and making a lasting impact, this is the role for you.

This is an in-person role based in our New York City office in the heart of SoHo. Building live experiences and building with soul are important for our customers, and we believe being and working together as a team is the best way for Posh to feel and achieve this. Events on Posh should be fun, alive, and driven with passion and we want to mirror this in our teams every day!

At a high level, you’ll be in charge of:

• Designing, Building, and Maintaining Scalable Data Pipelines: Design and optimize robust ETL/ELT pipelines that efficiently process and integrate data from multiple sources while ensuring scalability and reliability using Python and SQL.

• Optimizing Data Infrastructure for Performance and Scalability: Enhance data architecture, storage solutions, and processing frameworks to handle growing data volumes while reducing latency and maximizing cost efficiency, to support real-time and batch data processing).

• Ensuring Robust Data Governance and Management: Implement and enforce data governance best practices to maintain data integrity, accuracy, and accessibility. Create clear documentation and establish company-wide data policies.

• Collaborate with Product/Engineering Teams to Build Dashboards: Work cross-functionally to define data requirements, design efficient data models, and track product features and metrics via dashboards. Partner with Engineering teams to implement effective data tracking, logging, and ingestion strategies that align with business objectives.

• Drive Best Practices for Data Collection: Establish and enforce data collection standards to ensure consistency, reliability, and scalability. Set up automated monitoring, logging, and alerting for data pipelines to ensure reliability efficient QAing. Maintain security protocols, access controls, and compliance standards to safeguard sensitive data and meet regulatory requirements.

Our ideal candidate:

• Possesses 5+ Years of full time Data Experience: Has at least four years of hands-on experience in data engineering or analytics engineering. Demonstrates a strong ability to design, build, and optimize scalable data systems.

• Strong Experience with Modern Data Stack Technologies: Familiar with cloud data platforms (AWS, GCP, Azure), IaC environments (Terraform), orchestration tools (Airflow, Prefect, Dagster), data integration tools (Fivetran, Estuary), transformation frameworks (dbt), modern data warehouses (BigQuery, Redshift, Snowflake), and NoSQL databases (MongoDB).

• Expertise in Database Management and Performance Optimization: Proficient in SQL-based and NoSQL databases, optimizing query performance, indexing strategies, and ensuring efficient data storage and retrieval.

• Expertise in Modeling Best Practices Data Governance, Quality Assurance, and Documentation: Skilled in creating scalable, well-documented data models for self-serve analytics with robust data validation, testing, and observability. Implements proven practices for data governance, integrity, and accessibility to ensure consistent, reliable data throughout the organization.

• Experience building ML Pipelines: Experience creating and cleaning data for production ready ML models and identifying new data sources to increase ML efficacy.

• Highly Organized, Proactive, and Efficient: Is able to manage multiple projects simultaneously. Capable of prioritizing tasks effectively to meet deadlines, ensuring efficient and timely completion of projects.

• Has a Background in Early Stage Data Team (Required): Exhibits high interest in startups and has experience building the early foundation of a data team at a small tech company.

Posh provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Posh is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodation due to a disability