Senior Development Systems Engineer

. Serve as a senior technical partner to Corporate Land and data teams, translating business requirements into practical, scalable technical solutions .

Posted 10/13/2026full-timeUnited StatesSenior💰 $145,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, automation workflows, and AI-enabled tools using platforms like Snowflake and Databricks. Strong proficiency in Python and SQL, with a solid understanding of data architecture, ETL/ELT processes, and software development lifecycle practices.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencySnowflake Data PlatformDatabricks ExperienceData Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentData EngineeringAutomation EngineeringAnalytics EngineeringCode Quality StandardsTesting and DocumentationPerformance OptimizationData ModelingETL/ELT ProcessesCI/CD Practices

Soft Skills

Strong CommunicationStakeholder ManagementPrioritizationCoaching and Mentoring

Tools & Technologies

SnowflakeDatabricksPalantirAPIsAutomation Tools

Industry Keywords

Data ProductsAI SolutionsTechnical WorkstreamsSolution DesignCode Reviews

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Serve as a senior technical partner to Corporate Land and data teams, translating business requirements into practical, scalable technical solutions
Lead hands-on design, development, testing, and deployment of automation workflows, data products, and AI-enabled tools
Build and maintain data pipelines, queries, applications, and analytical products using Snowflake, Databricks, Palantir, and related platforms
Apply engineering standards for code quality, testing, documentation, observability, security, and deployment
Own complex workstreams and contribute to prioritization and roadmap development
Partner with stakeholders to refine requirements, evaluate technical tradeoffs, and deliver iterative solutions
Participate in solution design and code reviews, share technical knowledge, and coach analysts and business users
Develop documentation, training materials, and user guidance
Monitor and optimize deployed solutions for performance, reliability, adoption, and cost efficiency

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Engineering, Physics, or a related technical field, or equivalent relevant experience
7+ years of experience in software development, data engineering, automation, analytics engineering, or a closely related technical field
Demonstrated experience independently delivering complex, production-grade data, software, automation, or AI solutions
Strong proficiency in Python and SQL, with demonstrated ability to produce clean, maintainable, well-tested code
Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, or Palantir, including querying, data modeling, and performance optimization
Solid understanding of data architecture, ETL/ELT, APIs, governance, security, CI/CD, and software development lifecycle practices
Experience owning technical workstreams, contributing to solution design and code reviews, and supporting less-experienced contributors
Strong communication and stakeholder-management skills, with the ability to manage multiple priorities and deliver in an ambiguous environment
Must be legally authorized to work full-time in the United States for any employer other than your current employer
Must not require sponsorship now or in the future for employment visa status

Benefits

Comp & perks

Medical, dental, and vision insurance
Paid time off
Discretionary annual bonus program
Long-term incentive program
401(k) matching program
Reasonable accommodations for individuals with disabilities