Data and Automation Engineer – Python

PLUM Commercial Real Estate Lending

AI-Enabled Data & Automation Engineer responsible for building scalable data pipelines and leveraging AI technologies. Collaborating across teams to enhance business growth through data and automation solutions.

Posted 7/9/2026full-timeRemote • Nevada, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable data pipelines, with strong proficiency in Python, Databricks, and data processing methodologies. Capable of integrating data from multiple sources and leveraging AI tools to enhance development efficiency and data quality.

Highest-signal resume keywords

Python ProgrammingDatabricksData ProcessingAPI IntegrationsLead Enrichment

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringAutomationSQLPySparkDelta LakeData CleansingDeduplicationEntity ResolutionJSON Data ProcessingAI Development Tools

Soft Skills

Strong CommunicationCross-Functional CollaborationOwnership

Tools & Technologies

SaaS PlatformsGitSalesforceHubSpotApolloClayLinkedIn Sales NavigatorZoomInfoLLM APIs

Certifications & Qualifications

Undergraduate Degree in Computer ScienceEngineeringPhysics

Industry Keywords

Marketing OperationsSales OperationsData QualityOperational EfficiencyFast-Paced Startup Environments

Tech Stack

Tools & technologies

ApolloPySparkPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.