Enterprise Data Engineer for AI-Driven Analytics

CSC Leasing Company; Richmond (VA); On-site; USD 90,000 - 130,000; Full time

Job summary

CSC Leasing Company is seeking a data engineer to build and maintain the data foundation that powers analytics across origination, credit, funding, and asset management. This hands-on role connects Salesforce, NetSuite, AWS, and legacy systems into durable enterprise data assets.

You will design scalable pipelines, implement governance, and enable data science, AI, and reporting tools. Collaboration with business stakeholders and the Innovation team is essential to turn data into actionable

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• 3–5+ years of professional data engineering experience.
• Experience designing and operating production ETL/ELT pipelines.
• Experience with AWS and cloud data architectures (PostgreSQL, S3).
• Experience with Databricks, Snowflake, Spark, Delta Lake, dbt, or similar.
• Familiarity with data governance, cataloguing, lineage, and access‑control concepts.
• Experience integrating SaaS/enterprise systems; Salesforce and/or NetSuite experience is valuable but not required.

Responsibilities

• Design, build, test, and maintain reliable data pipelines across CSC's enterprise systems and data sources.
• Develop ingestion and transformation processes for structured and unstructured data from Salesforce, NetSuite, AWS PostgreSQL, S3, legacy systems, APIs, and other sources.
• Build automated processes for incremental data ingestion, transformation, validation, reconciliation, and monitoring.
• Design pipelines that support both current operational data and large‑scale ingestion of CSC's historical data.
• Optimize data pipelines for reliability, performance, maintainability, and cost.
• Develop canonical enterprise data models connecting customers, opportunities, deals, credit decisions, leases, assets, payments, portfolio activity, end‑of‑lease events, workouts, recoveries, and other business information.
• Establish durable relationships between historical and current records across systems.
• Create curated datasets and reusable data products for analytics, reporting, data science, AI, and operational applications.
• Support entity resolution and master‑data practices necessary to establish consistent customer, deal, lease, and asset identities across systems.
• Support ingestion and normalization of CSC's historical data, including legacy credit, deal, asset, portfolio, and operational information.
• Work with the Director, Innovation & Data Science to connect historical decisions and assumptions with subsequent business and economic outcomes.
• Structure historical information so it can be used for longitudinal analysis, predictive modeling, comparable‑deal analysis, portfolio risk management, and AI‑enabled decision support.
• Preserve source attribution and lineage between original information, extracted data, transformations, and curated datasets.
• Implement automated data‑quality controls, reconciliation processes, testing, and monitoring.
• Establish technical lineage and documentation for critical enterprise data.
• Help implement CSC's data governance standards, access controls, retention requirements, and data classifications.
• Identify data‑quality issues at their source and work with system owners to develop sustainable solutions rather than downstream workarounds.
• Develop metrics and monitoring to provide visibility into data freshness, completeness, accuracy, and pipeline health.
• Build trusted datasets and data services supporting Power BI, advanced analytics, predictive models, portfolio analysis, and other data‑science initiatives.
• Partner with the Director, Innovation & Data Science to productionize data pipelines and features required for predictive and prescriptive models.
• Prepare enterprise data for secure use by Lex, MCP‑based services, agentic applications, and other AI‑enabled systems.
• Support retrieval, analytical, and machine‑learning workloads while maintaining appropriate governance and access controls.
• Evaluate new data technologies and capabilities that can improve CSC's ability to leverage its proprietary information.
• Partner closely with CSC's Senior Platform Engineer on the infrastructure supporting the enterprise data platform.
• Collaborate on AWS architecture, security, IAM, infrastructure‑as‑code, CI/CD, monitoring, deployment standards, and production reliability.
• Maintain clear ownership between data engineering and platform engineering while jointly ensuring CSC's data workloads are secure, scalable, observable, and production‑ready.
• Apply modern software‑engineering and DevOps practices to data pipelines, transformations, testing, and deployment.

Skills

Data Engineering

SQL

Python

AWS

ETL/ELT

Data Modeling

Data Governance

CI/CD

Analytics Collaboration

Business Curiosity

Education

Bachelor's degree in related field

Tools

Databricks

Snowflake

Spark

Delta Lake

dbt

PostgreSQL

S3

Job description

CSC Leasing Company is seeking a data engineer to build and maintain the data foundation that powers analytics across origination, credit, funding, and asset management. This hands-on role connects Salesforce, NetSuite, AWS, and legacy systems into durable enterprise data assets.

You will design scalable pipelines, implement governance, and enable data science, AI, and reporting tools. Collaboration with business stakeholders and the Innovation team is essential to turn data into actionable