Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.
About the Role
RequirementsTechnical Skills
BenefitsWhat We Offer:
We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation.
You'll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development. You'll work with modern technologies including Python, Databricks, and LLM-powered tools to build solutions that directly impact business growth.
This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems.
Responsibilities- Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
- Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
- Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
- Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
- Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
- Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.
- Process structured, semi-structured, and JSON data from a variety of internal and external sources.
- Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions.
- Identify opportunities to automate repetitive processes and improve operational efficiency.
- Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.
RequirementsTechnical Skills
- 3–7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field.
- Strong Python programming skills with experience in data processing, automation, and API integrations.
- Experience with Databricks, PySpark, SQL, and Delta Lake.
- Experience integrating and processing data from multiple SaaS platforms via APIs.
- Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching.
- Experience working with structured, semi-structured, and JSON data.
- Familiarity with Git and modern software development practices.
- Undergraduate Degree in Computer Science, Engineering, Physics or other relevant degree
- Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants.
- Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity.
- Comfortable rapidly prototyping, testing, and iterating using AI-assisted development.
- Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools.
- Experience with CRM platforms such as Salesforce or HubSpot.
- Familiarity with LLM APIs and AI-powered applications.
- Experience working in fast-paced startup environments.
- Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery.
Plum AI, Inc looks forward to applicants from US based candidates. We are not working with outside recruiters. We appreciate individual, not AI generated, applications. We may disqualify applicants who use AI in any part of the interview process.
BenefitsWhat We Offer:
- A fast-paced, collaborative startup culture with high visibility.
- Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.
- Opportunity to make a meaningful impact in building a company and culture.
- Equity in a financial technology startup.
- Generous health, dental, and vision coverage for employees and family members + 401K.
- Eleven paid holidays and unlimited discretionary vacation days.
- Competitive compensation and bonus potential.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Perform Facets configuration and data analysis to support healthcare business needs: load/update industry codes, design and test configurations, troubleshoot claims/helpdesk issues, run UAT, document changes, mentor staff, work in Agile to deliver solutions, and liaise with business stakeholders while ensuring HIPAA compliance.
Top Skills:
Configuration ManagementExcelFacetsPdmPlmRallySQL
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Perform clinical coverage reviews by interpreting state/federal mandates and benefit language; communicate coverage and reimbursement determinations to providers and members; obtain additional clinical information; coordinate with care facilities; serve as a resource and make autonomous decisions impacting member care.
Top Skills:
Milliman Care Guidelines
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Manage and negotiate provider contracts for the VACCN program to develop an affordable, geographically competitive provider network. Evaluate contract performance, financial models, network adequacy, and claims impacts; author and execute contracts using contract management systems; communicate and negotiate terms with providers; monitor provider performance and ensure contractual compliance.
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
