Note: The job is a remote job and is open to candidates in USA. PeopleCaddie is a large public accounting firm seeking a Senior Data Engineer to advance their enterprise-wide data strategy. The role involves designing and maintaining data platforms and pipelines to support analytics, reporting, and AI-driven insights.

Responsibilities

• Design, develop, and maintain scalable and resilient data pipelines for ingesting, transforming, and delivering data from diverse internal and external sources
• Integrate data across databases, data warehouses, APIs, and third-party platforms while ensuring data accuracy, consistency, and integrity
• Apply data cleansing, validation, aggregation, enrichment, and transformation techniques to prepare analytics-ready datasets
• Optimize data pipelines and processing workflows for performance, scalability, reliability, and cost efficiency
• Monitor and tune data systems; identify performance bottlenecks and implement indexing, caching, and optimization strategies
• Embed data quality checks, validation rules, and governance controls directly within data pipelines
• Collaborate with architects, data scientists, AI engineers, and analysts to support advanced analytics, business intelligence, and AI/ML use cases
• Take ownership and accountability for maximizing the value of enterprise data assets used for insights, automation, and decision support
• Clearly communicate complex technical concepts to both technical and non-technical stakeholders, including senior leadership

Skills

• Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related quantitative field
• 8+ years of experience in data engineering, including: Data modeling and architecture, ETL / ELT and data integration, Data warehousing and analytics platforms, Data quality, master data management, and governance, Business intelligence and advanced analytics (predictive and prescriptive)
• Strong programming experience with Python, SQL, Java, and/or C#
• Hands-on Experience With Modern Data Platforms And Tools, Including Microsoft Azure technologies (SQL Server IaaS/PaaS, Synapse, Cosmos DB, Azure Data Factory, Databricks, HDInsight, Fabric, Power BI), Informatica Cloud (CIH, DIH, CDGC, Master Data Management, Data Quality), Snowflake and other leading cloud data technologies

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