Senior Data Platform Engineer

Casepoint

. Lead high-complexity data development initiatives .

Posted 9/29/2026full-timeRemote • United StatesSenior💰 $136,419 - $150,728 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in architecting resilient multi-region data systems and building automated data acquisition tools, with a strong focus on financial data management and reporting. Proficient in leading complex technical initiatives and mentoring engineering talent while ensuring best practices in software engineering.

Highest-signal resume keywords

Data EngineeringFinancial Data PlatformsSQL and PL/SQL ExpertiseCI/CD ProficiencyAutomated Data Acquisition

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

C ProgrammingC++ ProgrammingJava ProgrammingJavaScript ProgrammingPHP ProgrammingPython ProgrammingSQLPL/SQLData Structures DesignQuery Optimization

Soft Skills

MentoringLeadershipCollaboration

Tools & Technologies

Oracle DatabaseData PipelinesData WarehousingCI/CD PipelinesSoftware Testing Frameworks

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Software Engineering

Industry Keywords

Financial ReportingData Acquisition ToolsAutomated WorkflowsEnterprise Data PresentationDistributed Data Systems

Tech Stack

Tools & technologies

CloudJavaJavaScriptOraclePHPPythonSQLC++

About the role

Key responsibilities & impact

Lead high-complexity data development initiatives
Architect resilient multi-region data systems
Drive multi-team technical projects
Serve as a financial data management and reporting expert
Build automated data acquisition tools
Develop scalable update processes
Engineer optimized data structures for financial reporting and enterprise data presentation tools
Design, build, and maintain robust data pipelines, software codebases, and automated data acquisition and update processes
Architect scalable, resilient multi-region database and data warehouse integration layers, including Oracle backends
Drive complex data infrastructure software projects from conception to completion
Refine and automate data infrastructure using modern provisioning, software design patterns, and CI/CD pipelines
Partner with finance, product, and BI teams to build reliable extraction layers and improve enterprise visualization capabilities
Mentor junior engineers and champion software engineering best practices

Requirements

What you’ll need

6+ years of software engineering or advanced data engineering experience focused on building and supporting financial data platforms and pipelines
Proficiency in programming languages such as C, C++, Java, JavaScript, PHP, and Python
Expert-level skills in SQL, PL/SQL, and query optimization
Experience building fully automated data acquisition tools, extraction frameworks, and complex data update workflows interacting with enterprise databases such as Oracle
Expertise in designing high-performance data structures and semantic layers optimized for modern enterprise data presentation tools
Ability to lead complex technical initiatives independently and mentor engineering talent
Deep familiarity with financial reporting structures and automated financial data pipelines
Experience architecting zero-downtime, distributed data systems across cloud providers
Strong background in CI/CD, software testing frameworks, and proactive risk mitigation
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline

Benefits

Comp & perks

Remote work eligibility
Occasional in-person collaboration opportunity
Equal Opportunity Employer