Data Engineer

CivilGrid • Full-time • Philadelphia, PA, US • $70k - $85k / year • 5d ago

Company Overview

CivilGrid is a venture-backed SaaS construction tech company building the "Google Maps for the Underground." Come help us disrupt a $4.7T US industry segment that desperately needs innovation. This opportunity has tremendous upside as it scales.

CivilGrid aggregates public and proprietary utility, geotechnical, environmental, and jurisdictional data. The consolidated information is sold via our collaborative SaaS mapping platform to engineers and developers who need it to make early-stage decisions on real estate and infrastructure projects.

Real time data access reduces labor and project delays, accelerates decision making and reduces project risk. Collaborative features ensure faster information flow and decisioning inside and outside the organization and better project insight retention over time.

Position Description

We are seeking a high-performing, analytically-minded problem solver to join CivilGrid as a Data Engineer. This is a fast-paced, high-impact role where you'll wear multiple hats—working across data engineering, business analysis, operations, and product. You'll tackle ambiguous problems, build scalable solutions, and directly contribute to company growth. If you're looking for a role where you can learn rapidly, take ownership, and make a measurable impact from day one, this is it.

This position is hybrid with in-person work Philadelphia, PA 1-2 days/week, in addition to occasional travel for team off-sites and client visits. Competitive compensation based on experience.

Primary Functions:

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

Required Qualifications:

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

Desired Qualifications:

Background in consulting, finance, tech, or high-growth startups
Experience with GIS, geospatial data, or construction/infrastructure industries
Internship or project experience demonstrating quantitative impact

What we offer:

High-impact role with direct exposure to leadership and strategic decisions
Opportunity to build diverse skill set across analytics, engineering, and business operations
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

Location: