About this opportunity
PeopleCaddie lists this Data Engineer - Manager opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
Staffing and Recruiting
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.