Senior Data Platform Engineer

Casepoint; Washington (District of Columbia); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Casepoint is seeking a Senior Data Platform Engineer to lead high-complexity data initiatives, architect resilient multi-region data systems, and drive multi-team projects. You will act as a financial data management expert, building automated data acquisition tools and scalable update processes that power reporting and dashboards.

You will design optimized data structures and semantic layers for enterprise analytics, collaborate with finance, product, and BI teams, and mentor junior engineers

Qualifications

• 6+ years in software or data engineering for financial data platforms.
• Proficient in C, C++, Java, JavaScript, PHP, Python and SQL/PLSQL.
• Experience building automated data acquisition tools and update workflows with Oracle.
• Design high-performance data structures and semantic layers for modern enterprise analytics.
• Ability to lead complex technical initiatives and mentor engineers.

Responsibilities

• Design and maintain robust data pipelines and automated data acquisition processes.
• Engineer optimized data structures and semantic layers for reporting.
• Architect multi-region database and data warehouse integration with Oracle backends.
• Lead multi-team data infrastructure projects from concept to delivery.
• Collaborate with finance, product, and BI teams to build reliable extraction layers.
• Mentor junior engineers and promote engineering best practices.

Skills

C

C++

Java

JavaScript

PHP

Python

SQL

PL/SQL

Query optimization

Education

Bachelor’s or Master’s in CS/SE

Tools

Oracle

CI/CD

ETL frameworks

Data warehouses

Job description

Job Description

We are looking for a Senior Data Platform Engineer to lead high-complexity data development initiatives, architect resilient multi-region data systems, and drive multi-team technical projects. You will serve as a financial data management and reporting expert, focusing on data engineering to build automated data acquisition tools, develop scalable update processes, and engineer optimized data structures that power financial reporting and enterprise data presentation tools.

Work Location

This position is eligible for remote work. Priority consideration will be given to candidates based in the DMV (DC, MD, VA) area to support occasional in-person collaboration. We also welcome applications from candidates located in the following states, based on business needs and the availability of specialized talent: AR, AZ, CA, CO, CT, DE, FL, GA, IL, IN, KS, KY, LA, MA, MI, MN, NC, NH, NJ, NM, NV, NY, OH, OK, OR, PA, SC, TX, WA, WI, WV, WY. At this time, we are only able to consider candidates residing in these states.

Key Responsibilities

• Design, build, and maintain robust data pipelines, software codebases, and automated data acquisition and update processes using modern data engineering frameworks.
• Engineer optimized data structures, schemas, and semantic layers tailored to support financial reporting and executive dashboards within enterprise data presentation tools.
• Architect scalable, resilient multi-region database and data warehouse integration layers (including Oracle backends) focusing on programmatic data extraction and transformation.
• Drive complex, multi-team data infrastructure software projects from conception to completion while anticipating systemic risks and cross-functional dependencies.
• 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 elevate enterprise visualization capabilities.
• Mentor junior engineers and champion software engineering best practices across the engineering lifecycle.

Required Qualifications

• 6+ years of software engineering or advanced data engineering experience focused on building and supporting financial data platforms and pipelines.
• Strong software development background with proficiency in programming languages such as C, C++, Java, JavaScript, PHP, and python along with expert-level skills in SQL, PL/SQL, and query optimization.
• Proven experience building fully automated data acquisition tools, extraction frameworks, and complex data update workflows interacting with enterprise databases (such as Oracle).
• Demonstrated expertise in designing high-performance data structures and semantic layers optimized for modern enterprise data presentation tools.
• Proven ability to lead complex technical initiatives independently and mentor engineering talent.

Preferred Qualifications

• 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.

About Casepoint

Casepoint empowers government agencies and enterprises to discover, secure, and activate defensible insights with confidence across their most critical legal, regulatory, and compliance workflows. From global enterprises to major federal agencies, including the Department of War, organizations rely on Casepoint to unify legal hold, eDiscovery, investigations, FOIA, regulatory, and compliance response together in one secure platform. Built on an award-winning, cloud-native foundation with FedRAMP® High and DOD Impact Levels 5 (IL5) and 6 (IL6) authorizations, Casepoint combines purpose-built workflows with transparent, auditable AI and advanced analytics to help teams move faster, reduce risk, and maintain control under scrutiny. Through long-term partnership and responsive support, Casepoint works alongside customers to strengthen operations over time, ensuring lasting control, custody, and confidence in their data. For more information, visit

Casepoint is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other protected characteristic.