Staff Data Engineer

| Greater NYC Area
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
About Narrativ

Narrativ is the marketplace for unbiased product recommendations by experts on the open web. We exponentially increase match rate and augment commerce content with real time conversion data—turning honest recommendations from expert voices into a brand safe, multi-billion dollar acquisition channel.

Demand for expert recommendations has exploded, surpassing the need for simple price comparison and ushering in the era of the Intentional Shopper. This is a lean in, high intent shopper who seeks the whole story to find the products best suited to her individual needs.  

Our product graph—100M+ products mapped to all of the rich stories about them and over $26B of live purchase data —powers our high match rate.  Our market research tools help editors author better, higher converting product recommendations.

Why we’re special:

  • Ambitious technology: Our technology mines and organizes the world’s product data in a way that’s useful (rather than intrusive) for consumers. We built a product graph featuring 80mm SKUs enriched with $20bn of monthly cart data, making it the largest database of products matched to product recommendation.
  • Talented team: Fast Company recently named Narrativ one of the 50 best workplaces for innovators, fashion disruptor by Financial Times, and a technology pioneer by the World Economic Forum. We’re here to pursue greatness, embrace challenge and relentlessly improve every day.
  • Fast growth: Narrativ drove $50mm in revenue for partners like Sephora, Nordstrom, Ulta Beauty, Chanel, Goop, Revolve, and more.

Join us for the opportunity to impact billions of shoppers on our mission to improve the value of every recommendation -- to create a better Internet for shoppers.

The Job:

A staff data engineer at Narrativ will lead the design and implementation of a first-class data platform. You understand the history of batch and streaming big data systems, know when awk outperforms Hadoop map-reduce, and have spent a lot of time thinking about the best ways to handle schema drift. You care deeply about making scalable systems from simple, reliable, and correct building blocks. You can explain the advantages and disadvantages of a wide range of data structures depending on the desired use case. You can articulate when a general solution is good enough, and when a specialized solution is necessary.

You are Narrativ’s Staff Data Engineer 💽

Mission
  • Lead data architecture efforts at Narrativ, from prototype to test to build
  • Enable scalability and observability for batch and realtime data streams
  • Drive adoption of best practices through mentorship and by example
  • Make it simple for the business to find and use data to make decisions
Key Results
  • Create a system that captures state changes in Narrativ’s Product Graph and supporting workflows for equality control and analysis purposes.
  • Consolidate data architecture into key components (e.g. one streaming system instead of two, one system event bus instead of lossy point-to-point communication)
  • Use data schemas well..proper typing, schema registry, handle schema drift, validation
  • Create performant straightforward patterns for OLTP, OLAP, streaming ingest and enrichment, creating search indexes, etc
  • Manage a merchant product feed that can ingest datasets of 10M+
Requirements:
  • 7+ years of experience with big data systems such as Hadoop, Spark, Flink, Kafka, Storm, Heron, NiFi, Hive, etc
  • Understanding of different serialization and storage formats like Avro, Parquet, Thrift, Protocol Buffers, FlatBuffers, JSON, CSV, XML
  • Working knowledge of relational databases (PostgreSQL, MySQL), non-relational (Redis, Cassandra/Scylla), and warehouses (Snowflake, Redshift, BigQuery)
  • Experience with streaming data technologies and patterns
  • Experience with orchestration frameworks like Airflow, Oozie
  • Expertise in a general purpose programming language
  • Strong experience in SQL
  • Proven experience leading successful data platform work in multi-team scenarios.
Bonus
  • Expertise in Scala, Java, or Kotlin
  • Experience in  Elixir
  • Working knowledge of probabilistic data structures and algorithms like count-min sketch, hyperloglog, bloom filters, reservoir sampling, etc

Narrativ is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. 

Read Full Job Description
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.

Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • JavascriptLanguages
    • PythonLanguages
    • JenkinsLanguages
    • ReactLibraries
    • AngularJSFrameworks
    • FlaskFrameworks
    • SparkFrameworks
    • MongoDBDatabases
    • PostgreSQLDatabases
    • AWSDatabases
    • Google AnalyticsAnalytics
    • SalesforceCRM

Location

We're right in the center of Grand Central and very close to Bryant Park.

An Insider's view of Narrativ

What’s the vibe like in the office?

Our office has an open layout that helps inspire collaboration, conversation and idea sharing. We are a growing start up so there is a mix between heads down work and banter. Some ideas are around how to best service our clients and others are about dooms day prepping and our water intake :)

Nathalie

Head of Talent

What kinds of technical challenges do you and your team face?

Helping our clients strategically optimize their performance with the unique and comprehensive data our platform offers is always an exciting challenge. Data can be daunting, but when analyzed the right way, is the most powerful tool to drive successful results

Greg

Growth Manager

What is your vision for the company?

Narrativ is building technology that challenges the world we live in. Those who join our team should share our passion for fixing commerce and have the courage to challenge the status quo.

We’re on a thrilling pursuit to fulfill the promise of technology and we’re building a league of extraordinary humans.

Shirley

Founder & CEO

What are Narrativ Perks + Benefits

Culture
Eat lunch together
Daily stand up
Open door policy
Team based strategic planning
Group brainstorming sessions
Pair programming
Open office floor plan
Diversity
Highly diverse management team
Narrativ is led by founder & CEO Shirley Chen. Her experience as a female founder has taught her the importance of a diverse team, a value that is shared by the entire org.
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Dental Benefits
Vision Benefits
Health Insurance Benefits
Retirement & Stock Options Benefits
401(K)
Company Equity
Performance Bonus
Vacation & Time Off Benefits
Unlimited Vacation Policy
Perks & Discounts
Casual Dress
Stocked Kitchen
Some Meals Provided
Happy Hours
Happy hours are hosted Once per week.
Professional Development Benefits
Job Training & Conferences
Lunch and learns
Promote from within
More Jobs at Narrativ13 open jobs
All Jobs
Data + Analytics
Dev + Engineer
Operations
Product
Sales
Product
new
New York
Product
new
New York
Operations
new
New York
Operations
new
New York
Developer
new
New York
Data + Analytics
new
New York
Data + Analytics
new
New York
Data + Analytics
new
New York
Developer
new
New York
Developer
new
New York
Apply now
By clicking continue you agree to Built In’s Privacy Policy and Terms of Use.
Save jobView Narrativ's full profileSee more Narrativ jobs