Data Engineer

Expert Technology Services

Chicago, IL, United States

6 days ago

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$59,150.0 - $106,925.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis C Sharp (Programming Language) Cloud Computing Computer Programming Databases Data Validation Information Engineering Extract Transform Load (ETL) Data Transformation

+12 more

Data Warehousing Digital Assets Python (Programming Language) Microsoft Software Microsoft SQL Server SQL Databases Azure Data Factory Snowflake Data Management Azure Synapse Analytics Data Pipelines Databricks

Job description

Primary Focus: Hands-on data engineering, pipeline development, and data management (not oversight/support)

Key Responsibilities:
Design, build, and maintain data pipelines for extraction, transformation, and loading (ETL/ELT)
Collaborate with cross-functional teams (architects, data scientists, AI engineers, analysts) to manage and optimize data assets
Integrate data from various sources (databases, data warehouses, APIs, external systems)
Ensure data quality, consistency, integrity, and perform data validation/cleaning
Transform raw data using cleansing, aggregation, filtering, and enrichment techniques
Optimize data workflows for performance, scalability, and efficiency; resolve bottlenecks
Implement and monitor data quality checks and validations within pipelines
Take accountability for maximizing the value of enterprise data and analytics for business insights and decision-making, Description We are looking for a skilled and experienced Substation Civil Site Engineer to work remotely supporting our Chicago, IL office. In this role, you will work alongsid…
11 days ago

Requirements

Extensive hands-on experience with Informatica IDMC, Snowflake, and Microsoft technologies (SQL Server, Synapse, Azure Data Factory, Azure Databricks)

Strong programming skills (C#, Python, SQL, Java)
8+ years in data engineering, including data modeling, integration, warehousing, MDM, governance, and analytics
Clear, concise communication skills with the ability to translate technical info for various audiences
Critical and creative thinking, problem-solving, and trend analysis in complex data sets
Proactive, solution-oriented approach with a focus on continuous improvement and innovation
Ability to work effectively across diverse teams, adapt to changing situations, and prioritize work streams
Respect for individual differences, strong interpersonal skills, and a positive, resilient attitude
Preferred/Nice to Haves:
Certifications in relevant data and cloud technologies
Prior experience in professional services, consulting, accounting, or managed services provider environments
Client service or consultative experience