[Remote] Data Engineer - Manager
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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