Senior Data Engineer

Location: United States (remote applicants must reside in the U.S.)

Overview

Billee Technologies is turning raw utility-billing data into actionable intelligence and regulatory peace of mind. As our first dedicated Data Engineer, you will design and launch a greenfield data platform—help in determining the stack, laying the pipelines, and codifying best practices from day one. Working side-by-side with our Principal Engineer, you’ll move data from ingestion to AI-ready feature stores, powering the next wave of compliance analytics and customer-facing insights.

Who We Are

Billee Technologies Inc. is a Dallas-based SaaS startup revolutionizing utility billing for multifamily apartment communities. Our intuitive, cloud-based platform streamlines operations, eliminates inefficiencies, and increases NOI for property owners and operators. At Billee, we are more than just a technology company. We are a team of innovators and problem solvers. Led by seasoned technology leaders, we challenge traditional providers by offering smarter, more efficient solutions to the market.

Our culture is the foundation of our success. We believe in empowering and developing our people, ensuring they thrive both professionally and personally. Our core values define how we work and what we stand for:

Win Together – We believe in collaboration and collective success. When one of us wins, we all win.

Lead with Integrity – We hold ourselves accountable, operate with transparency, and always do what we say we'll do.

Relentless Determination – We tackle challenges head-on, with persistence and decisive action.

Bold Voices – We encourage open dialogue and foster a culture where every voice matters.

Stay Curious – We are lifelong learners, always seeking new ways to innovate, improve, and grow.

Core Responsibilities

Build from zero: Stand up data lake/warehouse and orchestrators that scale with our growth.

Write first-class pipelines: Transform source data into analytics-ready assets with dbt and Python.

Ship AI-ready data: Create feature pipelines and vector stores that feed compliance-driven LLM agents.

Automate reliability: Add testing, monitoring, and alerting so data issues surface before customers notice.

Drive collaboration: Translate business questions into data solutions, guiding engineers and analysts alike.

Requirements

Strong Python & SQL skills.

4+ yrs data-platform engineering (bonus if you’ve built from scratch).

Experience with data orchestration tooling (Apache Airflow or Dagster).

Data modeling expertise (w/ DBT or Spark) (bonus for dimensional modeling experience).

Comfort analyzing data directly (pandas, scikit-learn or similar).

Experience with Azure a bonusIdeal Candidate

Collaborative Builder – Thrives on pairing with engineers or product managers to turn vague requirements into concrete data solutions, actively soliciting feedback and iterating quickly.

Comfortable with Ambiguity – Enjoys green-field challenges where the roadmap is evolving; can prioritize, experiment, and make decisions with incomplete information.

Clear Communicator – Explains technical trade-offs in plain language, writes crisp documentation, and can present data insights or platform updates to both technical and non-technical audiences.

Ownership Mindset – Treats the data platform as a product: monitors health, anticipates future needs, and proactively drives improvements without waiting for directives.

Mentor & Learner – Shares knowledge generously, welcomes peer reviews, and stays curious about emerging tools (from Dagster releases to the latest in RAG/LLM practices).

Quality Advocate – Balances speed with discipline, insisting on testing, observability, and security—even when shipping fast.

Customer-Oriented – Connects engineering work to the end goal of delivering reliable utility-billing insights and compliance value for customers.

Compensation & Benefits

Salary Range: $140,000 - $160,000

Health, dental, and vision insurance.

401(k)

Paid time off and flexible work arrangements.

Professional development opportunities.

Opportunity for earned equity.