Senior Data Engineer

Key Skills

Apache Kafka, Avro, AWS, AWS Kinesis, Confluence, Data Lake, Data Warehousing, Machine learning techniques, Parquet, Product Development, Python Programming, XML-JSON

Job Description

What You’ll Do as a Senior Data Engineer

Despite having been fundamentally altered by earlier industrial revolutions, the construction industry has hardly budged with the computer revolution. In fact, since 1970, labor productivity in the US construction industry has actually declined, despite it more than doubling in the rest of the economy. This has contributed to housing shortages and the parlous state of infrastructure in some places, and is sanding the gears of carbon reduction efforts.

We think the industry is ripe for change, and we’re pushing the leading edge of that change with our next generation T3 Platform, the OS for Construction. Through T3, we help contractors to coordinate humans and (increasingly smarter) machines to build more effectively.

As a Senior Data Engineer in our small and quickly growing team, you will play a major role in this effort. In particular, you will:

• Design and build a resilient and scalable data platform that efficiently handles diverse data sources to support business analytics, data science and ML engineering within the organization.
• Work closely with the rest of the Data Science & Analytics Platform team to enable cutting edge algorithms, causal inference and analytics within a fast-moving environment, while adhering to industry best practices in terms of data access, security, traceability, etc

About You as a Senior Data Engineer

Our mission is to change an entire industry, so we only hire people inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in a crucial industry for human welfare.

Minimum Qualifications for a Senior Data Engineer

• Undergraduate degree, or equivalent practical experience, in computer science, machine learning, software engineering, statistics or related field
• 5+ years working on technology-powered products as either a data platform engineer, data engineer, ML engineer, analytics engineer or a closely related role
• Strong proficiency in Python and experience mentoring junior engineers
• Demonstrated understanding of the techniques and methods of modern product development
• Experience with production workloads in a cloud environment (AWS preferred)
• Strong understanding of data lake and data warehouse architecture, ingestion patterns and relevant file formats (e.g. Parquet, Avro, JSON)
• Experience with high-volume streaming architecture (e.g. AWS Kinesis, Confluent Kafka)
• Knowledge of data governance and security best practices (experience with data privacy regulations such as CCPA, GDPR a plus)
• Strong cross-functional communication skills
• Must be qualified to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time

Why We’re a Better Place to Work

• Competitive compensation packages 
• 401 (k) and company match
• Health insurance and medical coverage benefits
• Unlimited paid time off
• Generous paid parental leave
• Volunteering and local charity initiatives that help you nurture and grow the communities you call home
• Opportunities for career and professional development with conferences, events, seminars, continued education
• State of the art onsite gym (Corporate HQ)/Gym stipend for remote employees

Since our incorporation in 2015, we’ve had incredible growth — and we’re not stopping anytime soon. Ready to invest in our mission, invest in yourself and discover a better place to work? Then, we’d love to meet you.