Data Engineering Manager (Finance Data & Governance)

Location: Hybrid in the United States, with the primary location in Chicago and additional offices across the listed U.S. cities. Travel may be required from 0% to 100% depending on business and client needs.

Annual salary: $87,400–$253,800 for Illinois; ranges vary by office location and may reach $293,800.

Company

hirify.global is a global professional services company delivering digital, cloud, security, data, AI, strategy, consulting, technology, operations, and industry solutions to clients in more than 120 countries.

What you will do

• Create reusable workflows for data ingestion, quality assurance, transformation, and optimization.
• Design, build, and test scalable batch and streaming data pipelines using extract, transform, and load tools.
• Document business requirements and technical designs, then deploy solutions to production using CI/CD, DevOps, and cloud architecture principles.
• Migrate data from legacy warehouses and enterprise systems, including ERP, finance, and CRM platforms.
• Automate data delivery for financial and management reporting, operational analytics, and AI use cases.
• Build data governance processes, quality rules, compliance policies, and reconciliation controls.

Requirements

• At least 5 years of hands-on experience with cloud and Big Data technologies, including serverless processing, Spark or SparkSQL, batch and streaming services, event-driven pipelines, cloud databases, Python, SQL, and Node.js.
• At least 5 years of experience with cloud data storage, data management, data services, and data supply chains including streaming pipelines.
• At least 5 years of experience with DevOps, CI/CD processes, scheduling, and orchestration.
• At least 5 years of experience examining data from multiple sources and sharing insights that provide competitive advantage.
• Bachelor’s degree or equivalent experience; a minimum of 12 years of work experience may substitute. An associate degree requires at least 6 years of work experience.
• Applicants for employment in the United States must have work authorization that does not now or in the future require visa sponsorship.

Nice to have

• Large-scale data integration and data warehouse experience, including Databricks and Snowflake.
• Experience facilitating design sessions with business customers and BI teams.
• Cloud data path certifications, such as AWS certifications.
• Finance, supply chain, or customer-domain knowledge and business acumen.
• Knowledge of data governance, security, regulatory, and privacy compliance practices.
• Basic machine learning, statistical analysis, AI, data science, and related technical knowledge.

Culture & Benefits

• Full-time employment with medical, dental, vision, life, and long-term disability coverage.
• 401(k), bonus opportunities, paid holidays, and paid time off.
• Commitment to inclusion, diversity, equal employment opportunity, and reasonable accommodation.
• Travel requirements may range from 0% to 100% according to business and client requirements.