Data Engineer - Manager

PeopleCaddie; Chicago (IL); A distancia; USD 110.208 - 117.096; A tiempo parcial

Descripción de la vacante

A staffing and recruiting firm is seeking a Senior Data Engineer – Contract role in Chicago, focusing on data-driven strategies and analytics. The candidate will design data pipelines, integrate diverse data sources, and collaborate with technical teams. This position requires a Bachelor's degree and 8+ years of relevant data engineering experience, proficient in programming languages such as Python and SQL. The role is fully remote and offers a contract engagement of 6-12 months at a competitive rate.

Formación

• Minimum 8 years of experience in data engineering.
• Strong programming experience with Python, SQL, Java, or C#.
• Experience with data quality and governance.

Responsabilidades

• Design and maintain data pipelines for ingesting and transforming data.
• Integrate data across databases and platforms ensuring accuracy and integrity.
• Optimize data pipelines for performance and cost efficiency.
• Collaborate with data scientists and analysts for analytics use cases.

Conocimientos

Data modeling and architecture

ETL / ELT and data integration

Data warehousing and analytics platforms

Data quality

Business intelligence and advanced analytics

Strong programming with Python

Strong programming with SQL

Strong programming with Java

Strong programming with C#

Educación

Bachelor’s degree in Computer Science, Data Science, Software Engineering, or related field

Herramientas

Microsoft Azure technologies

Informatica Cloud

Snowflake

Descripción del empleo

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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