Point Wild Logo

Point Wild

Data Engineer

Posted 18 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
As a Data Engineer, you'll build and optimize data ingestion pipelines, create scalable data models, and integrate systems to enable AI and analytics for cybersecurity solutions.
The summary above was generated by AI

Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future. 

Join us for the ride!

The Lat61 Mission

Lat61 is our multi-modal data platform designed to ingest, normalize, and enrich data from diverse sources, making it actionable for AI agents, analytics, and decision-making systems. 

As a Data Engineer on this team, you will help deliver: 

  • Multi-Modal Data Ingestion: Bringing together logs, telemetry, threat intel, identity data, cryptographic assets, and third-party feeds into a unified lakehouse. 
  • AI Agent Enablement: Supporting Retrieval-Augmented Generation (RAG) workflows, embeddings, and feature stores to fuel advanced AI use cases across Point Wild products.
  • Analytics & Decision Systems: Providing real-time insights into risk posture, compliance, and security events through scalable pipelines and APIs. 
  • Future-Proofing for Quantum: Laying the groundwork for automated remediation and transition to post-quantum cryptographic standards. 

Your work won’t just be about pipelines and data models — it will directly shape how enterprises anticipate, prevent, and respond to cybersecurity risks in an era of quantum disruption. 

Position Overview 

We are seeking a highly skilled Data Engineer with deep experience in Databricks and modern lakehouse architectures to join the Lat61 platform team. This role is critical in designing, building, and optimizing the pipelines, data structures, and integrations that power Lat61. You will collaborate closely with data architects, AI engineers, and product leaders to deliver a scalable, resilient, and secure foundation for advanced analytics, machine learning, and cryptographic risk management use cases. 

Day to Day 

  • Build and optimize data ingestion pipelines on Databricks (batch and streaming) to process structured, semi-structured, and unstructured data. 
  • Implement scalable data models and transformations leveraging Delta Lake and open data formats (Parquet, Delta). 
  • Design and manage workflows with Databricks Workflows, Airflow, or equivalent orchestration tools. 
  • Implement automated testing, lineage, and monitoring frameworks using tools like Great Expectations and Unity Catalog.
  • Build integrations with enterprise and third-party systems via cloud APIs, Kafka/Kinesis, and connectors into Databricks.
  • Partner with AI/ML teams to provision feature stores, integrate vector databases (Pinecone, Milvus, Weaviate), and support RAG-style architectures.
  • Optimize Spark and SQL workloads for speed and cost efficiency across multi-cloud environments (AWS, Azure, GCP).
  • Apply secure-by-design data engineering practices aligned with Point Wild’s cybersecurity standards and evolving post-quantum cryptographic frameworks. 

What you bring to the table  

  • 5+ years in Data Engineering with strong experience building production data systems on Databricks
  • Data Engineering experience in a B2B SaaS organization 
  • Expertise in PySpark, SQL, and Python  
  • Strong knowledge of Delta Lake, Parquet, and lakehouse architectures. 
  • Experience with streaming frameworks (Structured Streaming, Kafka, Kinesis, or Pub/Sub)
  • Familiarity with DBT for transformation and analytics workflows 
  • Strong understanding of data governance and security controls (Unity Catalog, IAM) 
  • Exposure to AI/ML data workflows (feature stores, embeddings, vector databases) 
  • Detail-oriented, collaborative, and comfortable working in a fast-paced innovation-driven environment   

#LI-Remote

As part of Point Wild, you will:

Solve real customer problems. Point Wild’s point solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital security needs to create best-in-class solutions aimed at keeping them safe.

See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.

Accelerate your career.  As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.

Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the place for you.

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” Point Wild is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Point Wild.

Important privacy information for United States based job applicants can be found here.


Top Skills

Airflow
Databricks
Dbt
Delta Lake
Kafka
Kinesis
Parquet
Pyspark
Python
SQL
Unity Catalog
HQ

Point Wild Boston, Massachusetts, USA Office

250 Northern Ave, Boston, Massachusetts, United States, 02210

Similar Jobs

10 Days Ago
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
90K-100K
Junior
90K-100K
Junior
AdTech • Big Data • Information Technology • Marketing Tech • Sales • Software
The Data Engineer will develop and optimize ETL pipelines and systems in Google Cloud Platform, collaborating with engineers and scientists to support B2B data solutions.
Top Skills: AirflowBigQueryComposerDataflowGoogle Cloud PlatformKubernetesPub/SubPythonSQL
15 Days Ago
Remote or Hybrid
Orlando, FL, USA
5-5
Senior level
5-5
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
As a Data Engineer II, you will design, build, and maintain data pipelines, collaborate with product managers, and troubleshoot production issues.
Top Skills: Apache AirflowAWSDynamoDBGlueJavaPysparkPythonRedshiftS3ScalaSQLSQL
19 Days Ago
Easy Apply
Remote or Hybrid
3 Locations
Easy Apply
Senior level
Senior level
Real Estate • Security • Software • Cybersecurity • PropTech
The Data Engineer will build and maintain data pipelines, contribute to architecture decisions, support data governance, and mentor peers, focusing on scalability and reliability.
Top Skills: AirflowBigQueryDbtKafkaPythonRedshiftScalaSnowflakeSpark StreamingSQL

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account