Senior Data Engineer

· Remote

Location

Remote

Type

Full Time

Job Description

Senior Data Engineer

Reposted 2 Hours Ago
New York City NY USA
Hybrid
180K-220K Annually
Senior level
Events • Social Media • Software
Maximizing IRL human connection for the world
The Role
As a Senior Data Engineer you will design and maintain scalable data pipelines optimize data infrastructure and collaborate with cross-functional teams to implement data governance and best practices.
Summary Generated by Built In
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

Top Skills

Airflow
AWS
Azure
BigQuery
Dagster
Dbt
Estuary
Fivetran
GCP
MongoDB
Prefect
Python
Redshift
Snowflake
SQL
Terraform
Am I A Good Fit?
beta
Expert contributor network
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York New York
65 Employees
Year Founded: 2019

What We Do

Posh is the first social media platform dedicated to real-life social experiences. We have democratized event creation making it easy for anyone to host events and empowering organizers to curate unique experiences. In doing so Posh enables consumers to discover social events in their community connect with peers around shared interests and start and scale their own social communities.

Why Work With Us

At Posh we're not just building an event platform—we're crafting a movement to end loneliness by fostering meaningful in-person connections. Born from the vibrant energy of NYC's event scene our mission is to empower organizers and communities to create unforgettable experiences.

Gallery

Posh Offices

OnSite Workspace

Posh thrives on face‑to‑face energy. When we share a whiteboard decisions compress from days to minutes and ideas gain a heartbeat. That’s why onsite work is our default.

Typical time on-site: None
HQNew York New York

Similar Jobs

Posh

Senior Data Engineer

Events • Social Media • Software
In-Office
New York City NY USA
65 Employees
180K-220K Annually

Posh

Account Executive

Events • Social Media • Software
In-Office
New York City NY USA
65 Employees
100K-110K Annually

Posh

Senior Software Engineer

Events • Social Media • Software
In-Office
New York City NY USA
65 Employees
180K-220K Annually

Posh

Senior Data Engineer

Events • Social Media • Software
In-Office
New York City NY USA
65 Employees
180K-220K Annually
Apply Now

Date Posted

03/30/2026

Views

0

Back to Job Listings Add To Job List Company Profile View Company Reviews
Neutral
Subjectivity Score: 0
142,000+ Jobs Tracked
12,400+ Companies
1,930 Categories