---
title: 'Data Engineer at Base Operations'
canonical: 'https://feeny.ai/job/data-engineer-base-operations-united-states-fp56gm8x5k6c'
type: 'job'
last_seen: '2026-11-02'
---

# Data Engineer at Base Operations

- **Company:** Base Operations
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-11-02
- **Apply:** https://jobs.ashbyhq.com/base-operations/c23f88f8-b476-4a43-b12c-8773086e65a1

## Job description

Base Operations - Data Engineer

Location: US-based, Remote

Who We Are:

Base Operations decodes the world’s threat landscape into actionable security insights that enable organizations to protect their people, assets, and operations. We empower security teams to better assess threats, manage risk across large footprints, and make data-driven decisions using granular, street-level intelligence.

As a category-creator in a growing market, we are looking for impact-driven individuals who are passionate about technology and are committed to helping our customers operate with efficiency and greater accuracy. We developed our technology at Harvard and MIT and use cutting-edge AI. The company is award-winning and backed by top-tier VCs. Our customers include some of the most sophisticated and relevant companies in the Fortune 500. Our team cares about solving hard problems, promoting transparency, encouraging growth in emerging markets, and empowering people to safely explore the world. We are a thoughtful, dedicated, and fun-loving group obsessed with disrupting the security intelligence industry and winning the loyalty of our customers.

Overview: Base Operations is building the world’s largest dataset of global threat patterns and street-level intelligence. We are looking for an exceptional data engineer that can define, build, and mature the data pipelines, models, and warehouse to help us excel in this objective. This individual should have the technical acumen to contribute thought leadership relative to our architecture strategy, while also excelling at mapping that strategy into a tactical plan and executing against it.

## RESPONSIBILITIES

You will:

- Build, test, and maintain robust ETL pipelines for structured and unstructured data sources, including integration with ML models for data enrichment, with focus on production stability, performance optimization, and incident resolution
- Develop data transformation, validation, and quality monitoring processes to ensure reliable and actionable data
- Design and implement data warehouse solutions and data models to support analytics and reporting needs
- Establish data quality frameworks with monitoring, alerting, and remediation processes
- Contribute to overall data architecture decisions and lead implementation of data platform improvements

Required Experience

- 3+ years experience building production data pipelines and working with modern data stack tools
- 3+ years implementing and maintaining data warehouses and dimensional data models
- Strong SQL skills and experience with data modeling best practices
- Proficiency in Python for data engineering tasks
- Experience with workflow orchestration and automation tools
- Experience implementing data quality and governance practices
- Strong collaboration skills working with data scientists, analysts, and engineering teams

## Preferred Experience

- Experience working with geospatial data
- Working with large-scale datasets
- Experience with web scraping
- Understanding of ML and AI based infrastructure
- Familiarity with JavaScript

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Base Operations champions diversity - we welcome and employ people regardless of race, color, ancestry, religion, gender, gender identity, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We are proud to be an equal opportunity employer.

## About Base Operations

## Company Overview
- **One-liner**: Base Operations decodes the world’s threat landscape into actionable security insights, providing street-level threat intelligence, forecasting, and risk scoring to protect people and assets globally.
- **Entity Type**: Private (Series A)
- **Headquarters**: Washington, District of Columbia, United States
- **Founded**: 2019 (earlier mentions of 2016 may refer to predecessor entity; current company founded in 2019 per LinkedIn)
- **Founders**: Not publicly available – current CEO is Cory Siskind

## Core Business
- **Primary industry**: Security and Investigations (corporate security, threat intelligence)
- **Target customers**: B2B, primarily enterprise corporate security teams (Fortune 500, global operations)
- **Mission/purpose**: “To create more proactive, resilient organizations by increasing their knowledge of every corner of the world.”

## Products & Services
- **Micro-Intelligence Platform (SaaS)**: Aggregates public and proprietary data using AI to provide street-level threat assessments over 0.1–5 mile radii. Enables analysts to filter by crime type, date, source, and time of day, and to produce heat maps, time-series charts, and exportable analysis.
- **BaseScore (Risk Scoring)**: Standardized 0–100 risk metric at 0.1‑mile granularity across 5,000+ cities, enabling consistent comparison of locations (e.g., São Paulo vs. Seattle) to justify security investments.
- **Threat Forecasting**: Validated intelligence and predictive analytics to help teams anticipate incidents rather than react.
- **Crisis Management & Site Selection Tools**: Geolocation-based analysis for travel safety, crisis response, and expansion planning.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private company)
- **Total Funding**: $15.42M across 7 rounds (Seed rounds: 2018, 2019, 2021; Series A: December 2023)
- **Key Investors**: Grotech Ventures, Spero Ventures (co‑lead Series A), Mindset Ventures, Glasswing Ventures
- **Notable Partnerships**: OnSolve (2021 partnership for contextual risk assessment)
- **Growth Signals**:
  - Headcount grew 37% YoY (+10 employees, now ~25)
  - Active job postings for Data Engineer and Director of Federal Sales
  - Coverage expanded to 5,000+ cities globally; operates in 5 countries
  - Employer rating 5.0/5.0 (3 reviews) on LinkedIn

## Competitive Advantages
- **Street-level granularity**: 0.1‑mile resolution risk data, unlike city‑ or country‑level indices from competitors.
- **Validated, consistent data**: One data foundation standardizes output across the team, eliminating incompatible sources and defending scoring methodology.
- **Speed**: Claims to run threat assessments 5x faster and reduce incidents by up to 75%.
- **Analyst‑friendly workflow**: Platform built around how analysts actually work – filter, map, export without manual reformatting.

## Strategic Focus
- **Proactive security**: Moving corporate security from reactive incident response to data‑driven risk prevention.
- **Federal expansion**: Hiring a Director of Federal Sales indicates targeting U.S. government contracts.
- **Global scaling**: Extending coverage to more cities and maintaining high‑resolution intelligence for all markets.
- **Product development**: Continued investment in AI, forecasting, and scoring models (recent hiring of a VP Product and a Head of Data Science).

## Why Work Here
- **Culture**: Described as “thoughtful, dedicated, fun‑loving” and obsessed with disrupting the security industry. Values transparency, growth in emerging markets, and empowering global exploration.
- **Work policy**: Hybrid (Washington, DC office) with remote options on some roles. Headquarters in Washington, DC; secondary office in Cambridge, MA. Remote roles available for Data Engineer.
- **Perks & environment**: High employee satisfaction – 4.7/5.0 for career opportunities, 4.3 for culture. Emphasis on professional development and solving hard problems.
- **Team composition**: 24% technical, 11% research, 11% sales; specialists and senior individual contributors are common. Executive team is involved and visible.

## Sources
1. [baseoperations.com](https://baseoperations.com/company)
2. [baseoperations.com](https://baseoperations.com/)
3. [linkedin.com](https://www.linkedin.com/company/base-operations)
4. [builtin.com](https://builtin.com/company/base-operations)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/base-operations) (careers page)

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