Data Engineer building data solutions for a SaaS construction tech startup. Collaborating across teams to analyze data and drive decision-making in high-impact projects.
Responsibilities
Build and maintain data pipelines, automation scripts, and analytical tools to support business operations
Analyze complex datasets to identify trends, opportunities, and actionable insights that drive decision-making
Create dashboards, reports, and data visualizations for internal stakeholders and leadership
Work cross-functionally with engineering, sales, and operations to solve high-priority business problems
Own projects end-to-end with minimal supervision—from scoping to execution to presentation
Identify process inefficiencies and build solutions that scale
Requirements
Bachelor's degree in a quantitative field (Engineering, CS, Econ, Physics, Math, etc.) from a top-tier university
Strong proficiency in Python and SQL
Demonstrated experience with data analysis, visualization, and statistical methods
Excellent problem-solving skills with ability to structure ambiguous problems
Outstanding communication skills—can translate technical findings into clear business recommendations
Self-starter mentality with high ownership and willingness to do whatever it takes
Comfort with fast-paced startup environment and ability to context-switch between projects
Experience with data engineering, ETL processes, or database management
Experience with visualization tools (Tableau, Looker, Power BI, or similar)
Familiarity with software engineering concepts such as git basic devops
Benefits
Company-sponsored health insurance
Unlimited PTO
FSA
Remote work flexibility with a dynamic team environment
Comprehensive benefits package and professional development opportunities
Accelerated career growth in a fast-scaling startup
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