---
title: 'Principal Data Engineer at HG Insights'
canonical: 'https://feeny.ai/job/principal-data-engineer-hg-insights-pune-02tyaqbyga58'
type: 'job'
last_seen: '2026-09-14'
---

# Principal Data Engineer at HG Insights

- **Company:** HG Insights
- **Location:** Pune, India
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-14
- **Apply:** https://hginsights.com/hg-insights-careers/current-opportunities/?gh_jid=7987621003

## Job description

## About HG

HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI- driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making. Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

## About the Role

This is a senior individual contributor role on the team that builds and runs HG's data platform: everything between a raw vendor file landing in our lake and a finished dataset arriving in a customer's hands. It includes the transformation stack that turns messy external signals into product-grade company attributes, the matching systems that decide which company a piece of evidence belongs to and the internal applications our analysts use to curate and correct the result.

You will be based in Pune, working with engineers at our Pune, US & Brazil locations.

## What you’ll do

- Own the architecture of the data platform end to end, and make the calls on build vs. buy, batch vs. incremental, and where each workload belongs.
- Build the quality layer that catches silent failure: contracts at every handoff, freshness and completeness monitoring, and pipelines that quarantine bad data rather than publish it.
- Improve entity matching and attribution — and make match decisions explainable to the customers who depend on them.
- Make our release cycle boring. Recurring deliveries should not depend on people watching them.
- Treat compute cost as a first-class engineering metric across Spark, orchestration, and the serving tier.

## What we are looking for

- 15+ years building production grade data engineering systems, with a minimum of 5 years in a staff or principal scope.
- Deep Spark and Databricks expertise at multi-terabyte scale, including the operational side of lakehouse table formats — merges, compaction, small files, schema evolution.
- Strong SQL and dimensional modelling, and the judgment to know when to break the rules.
- Experience with performant and scalable OLTP setups (MySQL/Postgres).
- Airflow orchestration (DAGs, operators, sensors) and integration with Spark/Databricks.
- Proven experience in AWS ecosystems (EC2, S3, EMR).
- Hands-on entity resolution, fuzzy matching, or record linkage at scale. This is central to what we do.
- Python/Scala/Java, with real software discipline: testing, CI/CD, code review, infrastructure as code is a plus.
- Experience in Docker - Kubernetes, Terraform is a plus.
- Experience in integrating AI first implementations in traditional data engineering setups will greatly help in shaping our future designs.
- Experience with machine learning pipelines (Spark MLlib, Databricks ML) for predictive analytics.
- Knowledge of data governance frameworks and compliance standards (GDPR, CCPA).

## Preferred Qualifications

B2B firmographic, technographic or intent data; streaming and CDC; warehouse-to-lakehouse migration experience.

## What we offer/Benefits

We take care of our people fully and genuinely. Every HG Insights employee receives comprehensive healthcare coverage for themselves and their families, a monthly wellness reimbursement and access to Able To professional mental health coaching for stress, anxiety and depression support as per the regions. For your financial future, US employees benefit from a 401(k) with up to 5% company matching and all UK employees are enrolled in a pension scheme. Every employee also receives stock options because the people who build this company should share in its success. We invest in your growth through an annual learning reimbursement and a genuine commitment to developing your career at every stage. And through our Culture Club, you will always have a real voice in shaping the kind of workplace we build together.

## Equal Opportunity Employer

HG Insights is proud to be an Equal Employment Opportunity employer. We do not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of HG Insights.

## About HG Insights

## Company Overview
- **One-liner**: HG Insights is the pioneer of Revenue Growth Intelligence, delivering AI-driven B2B datasets and go-to-market analytics for technology companies.
- **Entity Type**: Private (raised $18.3M across multiple rounds, including Series B led by Updata Partners and a later private equity round led by Riverwood Capital)
- **Headquarters**: Santa Barbara, California, United States
- **Founded**: 2010
- **Founders**: Not publicly available

## Core Business
- Primary industry: B2B Data Intelligence, Go-to-Market (GTM) Analytics, and AI-powered Revenue Intelligence
- Target customers: B2B technology companies, including 90% of Fortune 500 tech firms (e.g., hyperscalers, cybersecurity, cloud, enterprise software)
- Mission: “Deliver precise, actionable GTM intelligence and AI automation for B2B tech organizations to accelerate revenue growth, improve customer retention, and drive operational efficiency.”

## Products & Services
- **Revenue Growth Intelligence Fabric**: A unified, AI-driven data repository combining technographics, IT spend, buyer intent, and first-party data for bottom-up account-level insights.
- **Revenue Growth Intelligence Platform**: SaaS analytics and reporting interface with AI copilots and agents (e.g., Sales Copilot) that turn buyer signals into actionable playbooks.
- **RGI Agent Builder**: Allows GTM teams to build and deploy custom AI agents for sales, marketing, and RevOps automation.
- **GENAI Navigator** (launched June 2025): An AI-driven tool to track GenAI adoption and market opportunities.
- **TrustRadius** (acquired 2025): Buyer intent data and verified customer voice content for increased conversion.
- **MadKudu** (acquired 2025): AI-based lead scoring and predictive analytics integrated into the platform.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metrics**: Annual revenue $35.4M (estimated, per LinkedIn); Total funding $18.3M (Series A, B, PE round)
- **Notable Investors**: Rincon Venture Partners, Updata Partners, Riverwood Capital
- **Notable Customers**: Trusted by 75% of Fortune 100 tech companies and 90% of Fortune 500 tech companies
- **Growth Signals**:
  - Headcount of 255 employees (+30.8% year-over-year)
  - Three strategic acquisitions in recent years: Intricately (2022), TrustRadius (2025), MadKudu (2025)
  - Launched new AI agents and the GENAI Navigator in 2025
  - Earned a spot on the Inc. 500 list and ranked among top US firms by revenue growth for three consecutive years

## Competitive Advantages
- **Data moat**: Indexes billions of unstructured documents daily to build high-resolution maps of technology adoption, usage, and spend – a deeper, account-level dataset than traditional firmographic providers.
- **Patented technology**: Holds a patent for analyzing clusters of online documents to predict technology adoption, company growth, and workforce shifts.
- **Unified intelligence fabric**: Combines technographics, spend data, buyer intent, and first-party data into a single, AI–analyzable layer, moving beyond standalone intent or firmographic tools.
- **Acquired capabilities**: Integration of TrustRadius (validated buyer voice) and MadKudu (predictive lead scoring) creates a flywheel of better data and smarter AI.

## Strategic Focus
- **AI-powered GTM automation**: Building an “agentic ecosystem” with copilots, agents, and an MCP (Model Context Protocol) to embed intelligence directly into sales, marketing, and RevOps workflows.
- **Data enrichment**: Continuously adding real-time cloud usage, AI maturity scores, and GenAI interest signals to unlock new sales opportunities.
- **Expanding partnership ecosystems**: Growing cloud marketplaces and channel partner relationships to broaden reach.

## Why Work Here
- **Culture**: Employee-first with values of accountability, diversity & respect, collaboration & directness, excellence & innovation, and connection & belonging. Active DEIB committee and Culture Club for employee feedback.
- **Work model**: Not explicitly stated, but presence across 16 countries (US, India, UK, Brazil, France, Mexico, etc.) suggests a hybrid/remote-friendly environment.
- **Benefits**:
  - Stock options granted to all employees
  - Annual learning reimbursement
  - Monthly wellness reimbursement (physical/mental)
  - AbleTo coaching for stress, anxiety, and depression
  - 401(k) with up to 5% matching (US); pension scheme (UK)
  - High-quality healthcare coverage
- **Engineering culture**: AI-first approach with roles like Senior AI GTM Engineer, Applied Data Scientist, and Senior Staff Engineer; opportunity to work on cutting-edge AI/ML in a data-rich environment.

## Sources
1. [HG Insights Homepage](https://hginsights.com/)
2. [HG Insights About Page](https://hginsights.com/about/)
3. [HG Insights Careers Page](https://hginsights.com/hg-insights-careers/)
4. [LinkedIn Company Profile](https://www.linkedin.com/company/hg-insights)
5. [Greenhouse Job Board](https://job-boards.greenhouse.io/hginsights)

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