Data Engineer

Overview

Slang AI is redefining customer engagement through conversational AI, making every interaction seamless and efficient. Our mission is to transform the restaurant industry by providing the ultimate voice AI solution for consistently outstanding customer experiences. At Slang AI, we believe how we build matters just as much as what we build. We foster a culture rooted in hospitality, ownership, and clarity, where every “Slangsta” feels valued, supported, and connected to the broader impact of our work in the AI-powered future of restaurants.

Key Responsibilities

• Build and maintain analytics pipelines in BigQuery using dbt Cloud, including staging, transformation, and mart layers
• Manage and configure Airbyte ingestion streams and Hightouch reverse ETL syncs
• Partner with product engineering to ensure new features follow our event-driven instrumentation methodology and emit the right data from day one
• Define and maintain business logic for metrics construction, serving as the source of truth for how key metrics are calculated
• Build, update, and maintain internal dashboards in Looker Studio
• Build and maintain BigQuery datasets, views, and scheduled queries
• Maintain query performance and warehouse costs, proactively identifying opportunities to reduce spend
• Design and implement data backup and redundancy strategies
• Occasionally update the customer-facing dashboard layer in the product (TypeScript)
• Perform ad-hoc data analysis and produce one-off data pulls for customers as needed
• Identify recurring data requests and build automated, self-serve solutions to replace manual fulfillment
• Investigate BigQuery continuous queries for publishing metrics to Cloud Pub/Sub, enabling product engineering services to consume analytics data in near real-time
• Evaluate Cloud Dataflow for real-time and low-latency data processing use cases as the platform's needs evolve

Basic Qualifications

• 5+ years of experience in data engineering, BI analytics, or software engineering
• Expert-level SQL skills, particularly in BigQuery or comparable cloud data warehouses
• Hands-on experience with dbt (dbt Cloud preferred) for managing transformation pipelines
• Experience with data ingestion tools such as Airbyte, Fivetran, or similar
• Experience with reverse ETL tools such as Hightouch or Census
• Working knowledge of Python for data scripting, automation, and ad hoc analysis
• Strong understanding of event-driven data instrumentation and how analytics contracts should be defined alongside product features
• Track record of optimizing data warehouse costs and query performance
• Comfort working directly with engineering teams to define data requirements and instrumentation standards

Nice to Haves

• Experience with GCP data services beyond BigQuery (Cloud Dataflow, Pub/Sub, Cloud Functions)
• Familiarity with TypeScript or Kotlin
• Prior work with streaming or real-time data architectures
• Experience implementing data quality testing frameworks (e.g., dbt tests, Great Expectations, or similar)
• Familiarity with data governance practices, including documentation, lineage tracking, and access controls
• Experience working at a fast-growing startup where you owned the data stack end to end

Location

New York City

Compensation & Location

Compensation for this role is location-based and benchmarked against local market data aligned to the employee’s primary work location. Total compensation includes a mix of cash and equity and may vary by location, role level, and experience.

Vision

Calling a business shouldn’t feel like a robot-hostage situation, where you’re forced to listen to horrible music and can't reach a human, while enduring a soulless voice uttering "I'm sorry I didn't quite get that" on repeat for eternity. (shudder) That’s why we started Slang AI. We use the latest AI and audio wizardry to make transacting via voice so enjoyable it’s more human than human. By 2030, we will save businesses and consumers 1 billion minutes of precious time while transforming voice channels into the preferred mode of communication (it's faster and easier than text).

Our Values

• Overachiever Fever. We’re overachievers (we don’t know any other way)
• AI Native. We don't just sell AI. We are Al.
• Ability. We approach each other with curiosity and openness (know-it-alls not welcome!)
• Be A Good Host. We build for hospitality. We should embody it.