Data Engineer

Q TECH CORPORATION

Detroit, MI, United States

19 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$75,000.0 - $85,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Big Data Cloud Database Computer Programming Continuous Integration Data Validation Information Engineering Data Governance Data Infrastructure Data Integration

+20 more

Extract Transform Load (ETL) Data Systems Data Warehousing DevOps Distributed Computing Environment Machine Learning Performance Tuning Query Optimization SQL Databases Enterprise Data Management Data Processing Data Ingestion Azure Data Factory Sql Optimization Apache Spark Database Performance Pyspark Data Management Data Pipelines Databricks

Job description

We are seeking an experienced Data Engineer to join our team in Chicago, IL. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and modern data infrastructure to support business intelligence, analytics, and machine learning initiatives. The successful candidate will have strong expertise in ETL/ELT development, cloud platforms, SQL optimization, and large-scale data processing., Design, develop, and optimize scalable data pipelines for enterprise data platforms. Build and maintain robust data ingestion frameworks from multiple structured and unstructured data sources. Develop, implement, and optimize ETL/ELT workflows for processing large-scale datasets. Design and maintain data models to support reporting, analytics, and business intelligence. Monitor data pipeline performance and troubleshoot production issues. Ensure data accuracy, integrity, security, and governance across all data platforms. Optimize SQL queries and database performance for high-volume workloads. Implement data quality checks, validation frameworks, and monitoring processes. Collaborate with data scientists, analysts, software engineers, and business stakeholders to deliver reliable data solutions. Support cloud-based data engineering initiatives and continuously improve data processing performance., Job Seekers can review the Job Applicant Privacy Policy by clicking here (http://ryder.com/job-applicant-privacy-policy) . Job Description : Summary The Senior Engineer is re…

16 days ago

Requirements

Strong experience with Data Engineering concepts and best practices. Expertise in ETL/ELT pipeline development. Strong SQL programming and query optimization skills. Experience with cloud platforms such as Azure, AWS, or GCP. Hands-on experience building scalable data pipelines. Knowledge of data modeling and data warehousing concepts. Experience with data integration from multiple data sources. Strong troubleshooting and performance tuning skills. Familiarity with data governance, security, and data quality frameworks. Preferred Skills: Experience with PySpark, Spark, or distributed data processing frameworks. Experience with Azure Data Factory (ADF), Databricks, or similar ETL tools. Exposure to machine learning data pipelines. Knowledge of DevOps and CI/CD for data engineering.