Data Engineer
IntePros - Redmond, Washington, United States, 98052
Work at IntePros
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Overview
$70.00/hr - $80.00/hr Direct message the job poster from IntePros Information Technology Recruiter at IntePros
IntePros is seeking a Data Engineer II with a strong foundation in SQL, Python, and AWS to join a team focused on building robust, scalable, and high-performance data systems. This role will specialize in managing time-series data using Amazon Timestream, optimizing complex data workflows, and collaborating closely with engineering and data science stakeholders to ensure the reliability and performance of cloud-native pipelines. This is an exciting opportunity for a technically strong and curious data engineer to work on cutting-edge infrastructure that supports real-time analytics, automation, and scalable data ingestion across a rapidly evolving cloud environment. Key Responsibilities Design, implement, and optimize complex SQL queries and time-series database schemas. Build and manage cloud-native data pipelines across AWS services including
Lambda, Redshift, and S3 . Develop Python-based automation and processing logic for real-time and batch data ingestion. Define data retention policies, performance optimizations, and monitoring strategies for time-series datasets. Work cross-functionally with developers and technical teams to troubleshoot issues and scale systems. Apply best practices in cloud-based data architecture, backup, disaster recovery, and performance tuning. Participate in strategic planning for data growth, analytics enablement, and system resilience. Top 3 Must-Have Skills SQL Mastery
Complex querying, schema design, and performance optimization (45 years). Python Development
For data processing, AWS integration, and automation. AWS Cloud Services
Strong experience with S3, Redshift, Lambda, and especially Amazon Timestream. Skills & Experience Required 45 years of experience in data engineering or infrastructure-focused roles. Hands-on experience with
Amazon Timestream
or other time-series databases. Proficiency with Python and libraries such as Pandas, SQLAlchemy, or PySpark. Expertise in cloud data management, pipeline performance tuning, and automation in AWS. Strong troubleshooting and problem-solving skills for high-scale environments. Understanding of NoSQL and relational database performance management and disaster recovery. Bachelors degree in Computer Science, Data Engineering, or a related field. Preferred Qualifications Experience scaling cloud-based infrastructure for real-time analytics. Familiarity with performance metrics related to infrastructure operations or time-series data. Exposure to DevOps principles and data observability tools. Seniority level
Seniority level
Mid-Senior level Employment type
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