Database Engineer

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job description

About Us

At SNH AI were building the future of work: AI-powered Autonomous Employees who perform entire job roles not just tasks to empower organizations to scale efficiently. Were based in the heart of Downtown Austin TX with breath-taking views. Were an AI startup that thrives on curiosity bold thinking and a passion for solving hard problems. Our team is rapidly growing and every line of code you write will have a direct impact on the products and customers we serve. Were shaping the future of how work will be done: humans working alongside Artificially Intelligent systems that infinitely scale their productivity and output.

Why Youll Love Working Here

A collaborative startup culture where your voice matters.

Work directly with modern LLMs and applied AI tooling.

Fast-moving impact-driven environment with strong engineering peers

What Were Looking For

We are seeking a Database Engineer with strong data analysis skills and deep experience on Google Cloud Platform (GCP) to support personalized lead engagement based on real-time behaviors and CRM insights with some exposure to AI and machine learning.

In this role youll build data pipelines and prototypes that integrate CRM credit and behavioral data including response times click-through behavior and inbound call interactions to create dynamic segmentation and deliver conversion-optimized buy now messages. Your work will be foundational to how we engage leads drive sales and improve overall customer experience.

In-person work at the office to drive productivity and collaboration. (No remote please) we cover your parking Downtown.

Key Responsibilities

Design and implement scalable cloud-based data pipelines and warehouses using GCP services: BigQuery Cloud Composer (Airflow) Dataflow Cloud Functions and Pub/Sub.

Build ELT workflows to extract and unify data from CRMs (e.g. Salesforce HubSpot) marketing platforms credit data providers and behavioral sources.

Capture and analyze lead behavior signals including:

Response times to outreach

Click-through rates on emails ads and in-app prompts

Inbound call activity and sales team interactions

Develop behavioral segmentation models to target leads based on urgency interest and likelihood to convert.

Prototype personalized engagement triggers and buy now messaging strategies based on combined behavior and credit profile data.

Partner with marketing and growth teams to deploy and optimize campaigns tailored to lead behavior and funnel stage.

Conduct exploratory data analysis (EDA) to uncover key trends and insights that drive personalized outreach.

Monitor and report on campaign and segment performance through Looker / Looker Studio dashboards.

Ensure data integrity privacy and regulatory compliance (e.g. GDPR SOC2 FCRA).

Maintain flexibility to work across legacy and cloud systems including SQL Server Oracle and PostgreSQL.

Job requirements

Required Qualifications

Bachelors or Masters degree in Computer Science Data Engineering Information Systems or a related field or equivalent experience.

5 years of experience in data engineering or database roles with a strong emphasis on data analysis customer engagement & ad-hoc reporting.

3 years of hands-on experience with Google Cloud Platform including BigQuery Dataflow Pub/Sub and Cloud Composer. (AWS/Azure OK)

Proficiency in SQL (across multiple platforms) and Python for data processing and modeling. Ability to turn raw data into meaningful insights to understand patterns and trends.

Experience building and maintaining data pipelines that feed into marketing and sales engagement systems.

Demonstrated ability to capture and use behavioral data (e.g. clickstreams email response rates phone call metadata) to optimize lead handling and conversion strategies.

Familiarity with enterprise databases including SQL Server Oracle and PostgreSQL.

Hands-on experience with CRM systems (Salesforce HubSpot) and marketing automation platforms (Marketo Pardot Mailchimp).

Preferred Qualifications

Experience with ETL tools (e.g. Azure Data Factory Airbyte Cloud Composer Data Flow ) and/or Customer Data Platforms (CDPs).

Experience in designing building and deploying AI and machine learning models in production environments. Simulation based learning of training and validation data.

Background in campaign optimization A/B testing and predictive lead scoring.

Versed in data governance privacy and security best practice.

Familiarity with call tracking systems IVR analytics or conversational AI platforms Data Modeling is a plus.

Knowledge of data compliance standards and secure handling of personal and financial data.

All done!

Your application has been successfully submitted!

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Job descriptionAbout UsAt SNH AI were building the future of work: AI-powered Autonomous Employees who perform entire job roles not just tasks to empower organizations to scale efficiently. Were based in the heart of Downtown Austin TX with breath-taking views. Were an AI startup that thrives on cur...