Sr. Data Engineer
Listed on 2026-02-07
-
IT/Tech
Data Engineer, Data Science Manager
Overview
Inte Pros is partnering with Intentsify
, an AI-driven intent intelligence company, to help them hire a Senior Data Engineer to join their growing engineering organization. Intentsify builds software that transforms massive volumes of web data into actionable insights for marketing and sales teams. Their platform processes millions of web pages daily, extracting semantic signals that help customers understand buyer intent, competitive positioning, and market trends. This Senior Data Engineer will work closely with a Technical Lead and broader engineering team to design, build, and scale data pipelines and backend systems that power Intentsify’s core platform.
This is a remote, full-time role with meaningful ownership and long-term growth potential.
This role is ideal for a senior, hands-on data engineer who enjoys building reliable, scalable systems and working with modern data and cloud technologies. You’ll focus on data pipelines, orchestration, and event-driven systems while contributing directly to production code. You won’t be managing people, but you will be expected to operate with autonomy, technical judgment, and a strong sense of ownership.
Responsibilities- Design, build, and maintain scalable data pipelines and backend services
- Develop and support workflow orchestration using Airflow
- Work heavily in Python to process, transform, and validate large data sets
- Contribute to event-driven architectures running on AWS
- Partner closely with the Technical Lead on system design and technical decisions
- Improve data quality, reliability, and performance across the platform
- Write clean, testable, maintainable code and participate in code reviews
- Troubleshoot production issues and contribute to system observability and resiliency
- Languages & Frameworks:
Python - Data & Orchestration:
Airflow, dbt (optional but highly valued) - Cloud & Architecture: AWS, event-driven systems
- Data Scale:
High-volume, web-scale data ingestion and processing
- Modern, Engineering-Driven Environment:
Strong emphasis on thoughtful design, quality, and scalability - High Impact Role:
Your work directly supports core product capabilities - Remote-First Team:
Fully remote, full-time role with flexible working hours - Growth Opportunity:
Join a fast-growing company with room to expand technically and professionally
- Competitive medical, dental, and vision coverage
- 401(k) with company match
- Flexible work schedule and open vacation policy
- Short-term and long-term disability coverage
- Life insurance
- Long-term career growth within a scaling organization
- Senior-Level
Experience:
Strong background in data engineering with experience owning systems end-to-end - Python Expertise:
Comfortable building production-grade data pipelines and services - Workflow Orchestration:
Hands-on experience with Airflow - Cloud Architecture:
Experience working in AWS, ideally with event-driven systems - Collaboration:
Comfortable partnering with backend engineers, data engineers, and technical leadership
- Experience with dbt for analytics engineering
- Exposure to entity reconciliation, identity resolution, or entity matching at scale
- Background working with large, unstructured, or semi-structured data sources
- Familiarity with modern data quality, observability, or lineage tools
This is not a reporting-only or analytics-only data role. You’ll be building the foundational data infrastructure that powers product features and customer-facing insights. If you enjoy working close to the core of a platform, solving real data scale problems, and collaborating with strong technical leadership, this role is a strong fit.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).