Staff Data Engineer

Acceler8 Talent; Houston (TX); Hybrid; USD 200,000 - 300,000; Full time

Benefits offered by this job

Competitive compensation up to $250,000

Foundational role as the first Staff Data Engineer

Opportunity to work closely with the Head of Data

Job summary

A dynamic tech startup is seeking a Staff Data Engineer to architect and build a core data platform. This role calls for a candidate with extensive experience in creating scalable data pipelines and a robust background in modern infrastructure. You will work closely with various teams to drive data-driven decision making and establish data governance. Competitive compensation is offered, reaching up to $250,000 depending on experience and location.

Qualifications

• 8+ years of experience as a software or data engineer, focused on large-scale data systems.
• Deep expertise in building and maintaining data pipelines for analytics or ML.
• Strong understanding of CI/CD and infrastructure-as-code practices.

Responsibilities

• Architect and build the core data platform for intelligence.
• Design and implement scalable data pipelines across diverse sources.
• Collaborate with AI/ML, product, and engineering teams for data-driven decisions.

Skills

Building and maintaining data pipelines

ETL frameworks (Python, Spark, Airflow, dbt)

SQL proficiency

Cloud-native data platforms (AWS preferred)

Data modeling

CI/CD best practices

Software engineering fundamentals

Tools

Redshift

S3

Spark

Airflow

dbt

Kafka

Databricks

Snowflake

Job description

Staff Data Engineer - Houston, TX or US Remote

A Series B funded startup that is 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.

Base pay range

$200,000.00/yr - $300,000.00/yr

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 ML
• Deep expertise in building and maintaining data pipelines and ETL frameworks (Python, Spark, Airflow, dbt, etc.)
• Strong background in modern data infrastructure
• Proficiency with SQL and experience designing performant, maintainable data models
• Solid understanding of CI/CD, infrastructure-as-code, and observability best practices
• Experience enabling ML workflows and understanding of data needs across the model lifecycle
• Comfort working with cloud-native data platforms (AWS preferred)
• Strong software engineering fundamentals

What's in it for me:

• Competitive compensation up to $250,000 dependent on experience and location
• Foundational role as the first Staff Data Engineer
• Work hand-in-hand with the Head of Data to design and implement systems, pipelines, and abstractions that make us an AI-native company

Apply now for immediate consideration!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting