Data Engineer - Manager

Data Engineer - Manager role at PeopleCaddie

Title: Senior Data Engineer – Contract

Client: Large Public Accounting Firm

Engagement: 6-12 Months+ Contract

Work Model: Fully Remote

Rate: $80–$85/hour (C2C)

Role Overview

The Senior Data Engineer plays a critical role in advancing a modern, enterprise-wide data strategy focused on enabling data-driven decision-making, advanced analytics, and AI-powered insights. This role supports a centralized Data & Analytics function aligned to core technology pillars including Application Modernization, AI, and Data.

Key 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.

Required Experience & Qualifications

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

#PCIT

Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Engineering and Information Technology

Industries

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