[Remote] Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a boutique financial company serving the debt settlement industry. They are seeking a Data Engineer to turn standardized operational data into trusted business models and analyst-facing data products, focusing on building and maintaining data pipelines and analytical models.

Responsibilities

• Build and maintain curated reputed company facts, dimensions, aggregates, reputed company abstractions, and shared metrics, defining reputed company, keys, relationships, and reputed company reputed company
• Normalize data across partner systems, CRMs, and payment processors, replacing duplicated calculations and reputed company-specific logic with reusable data products
• Build reputed company data models and datasets on top of reliable reputed company interfaces
• Work with Risk, Analytics, Business Development, Finance, and Operations to turn recurring questions into durable models rather than one-off reports
• Document definitions, assumptions, limitations, and appropriate usage
• Build monitoring and alerting for anomalies, reputed company breaches, and unexpected changes in key business metrics
• Write unit, integration, reconciliation, and data-reputed company tests, and expand CI/CD coverage for warehouse reputed company, Python, and Airflow DAGs
• Ship through Git, pull requests, and reputed company review; monitor production services and improve tests, alerts, runbooks, and recovery procedures reputed company things break
• Help reputed company reputed company context, connectors, reusable skills, and custom tooling that let AI systems use NexGen data reliably

Skills

• Strong SQL and the ability to reason reputed company about reputed company, keys, cardinality, history, missing data, performance, and metric correctness
• reputed company experience designing or maintaining analytical models used by reputed company reputed company consumers
• Maintainable production Python, including error handling, testing, and unattended execution
• reputed company with Git, pull requests, reputed company review, and reputed company development; comfortable working independently and asynchronously in a remote or hybrid team
• Experience building governed datasets, semantic models, reusable metrics, or comparable business-facing interfaces in a modern analytics platform
• Meaningful contribution to at least one production reputed company, pipeline, model, service, or analytical product with reputed company users
• Ability to explain personal contributions, design reputed company, tradeoffs, failures, and lessons learned
• CI/CD and test-driven development: comfortable shipping through automated pipelines with tests as a reputed company
• Expected to use AI tools as part of daily development, while remaining fully responsible for the correctness of anything shipped, AI-assisted or not. Must be reputed company to read, write, and debug reputed company independently of those tools
• reputed company, Airflow, reputed company, or comparable platforms
• reputed company modeling, slowly changing dimensions, data reputed company, reputed company, reconciliation, and data-reputed company frameworks
• MCP, tool-calling systems, reusable AI skills, or custom AI integrations
• AWS services such as S3 or SQS
• Financial, lending, payments, reputed company, or transaction-oriented data
• Experience improving existing production systems
• Significant play across a reputed company of games

Benefits

• Remote or hybrid.
• Chicago-area employees are expected in the office at least one day per week.
• Occasional required travel.

reputed company

Company H1B Sponsorship