Staff Data Engineer - Houston, TX or US Remote
A Series B funded startup who are building the infrastructure that powers how residential HVAC systems are monitored, maintained, and serviced are looking for a Staff Data Engineer to join their team.
What will I be doing :
- Help architect and build the core data platform that powers the company's intelligence - from ingestion and transformation to serving and analytics
- Design and implement scalable data pipelines (batch and streaming) across diverse data sources including IoT sensors, operational databases, and external systems
- Work with high-performance database technologies
- Define foundational data models and abstractions that enable high-quality, consistent access for analytics, product, and ML workloads
- Collaborate with AI / ML, Product, and Software Engineering teams to enable data-driven decision-making and real-time intelligence
- Establish engineering best practices for data quality, observability, lineage, and governance
- Evaluate and integrate modern data technologies (e.g., Redshift, S3, Spark, Airflow, dbt, Kafka, Databricks, Snowflake, etc.) to evolve the platform's capabilities
- Mentor engineers across teams
What are we looking for :
8+ years of experience as a software or data engineer, including ownership of large-scale data systems used for analytics or MLDeep expertise in building and maintaining data pipelines and ETL frameworks (Python, Spark, Airflow, dbt, etc.)Strong background in modern data infrastructureProficiency with SQL and experience designing performant, maintainable data modelsSolid understanding of CI / CD, infrastructure-as-code, and observability best practicesExperience enabling ML workflows and understanding of data needs across the model lifecycleComfort working with cloud-native data platforms (AWS preferred)Strong software engineering fundamentalsExcellent communicatorWhat's in it for me :
Competitive compensation up to $250,000 dependent on experience and locationFoundational role as the first Staff Data EngineerWork hand-in-hand with the Head of Data to design and implement systems, pipelines, and abstractions that make us an AI-native companyApply now for immediate consideration!