IntePros
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Sr Data Engineer
We are 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. Sr Data Engineer
We are 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 (4–5 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
4–5 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. Bachelor’s 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
Employment type Full-time Job function
Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at IntePros by 2x Get notified about new Data Engineer jobs in
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We are 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. Sr Data Engineer
We are 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 (4–5 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
4–5 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. Bachelor’s 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
Employment type Full-time Job function
Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at IntePros by 2x Get notified about new Data Engineer jobs in
Redmond, WA . Seattle, WA $91,200.00-$185,000.00 5 days ago Seattle, WA $70,000.00-$150,000.00 1 week ago Seattle, WA $118,900.00-$205,600.00 2 weeks ago Bellevue, WA $118,900.00-$205,600.00 2 weeks ago Bellevue, WA $118,900.00-$205,600.00 6 days ago Seattle, WA $118,900.00-$205,600.00 6 days ago Redmond, WA $122,500.00-$145,000.00 2 weeks ago Data Engineer, P2 Science, Data, and Insights
Seattle, WA $91,200.00-$185,000.00 3 days ago Seattle, WA $100,000.00-$720,000.00 2 weeks ago Seattle, WA $184,300.00-$337,250.00 2 weeks ago Bellevue, WA $105,000.00-$195,000.00 2 days ago Bellevue, WA $145,000.00-$204,000.00 1 week ago Redmond, WA $145,000.00-$204,000.00 1 week ago Seattle, WA $139,100.00-$240,500.00 2 weeks ago Bellevue, WA $139,100.00-$240,500.00 4 days ago Seattle, WA $145,000.00-$204,000.00 1 week ago Data Engineer, P2 Science, Data, and Insights
Seattle, WA $118,900.00-$205,600.00 1 week ago Software Engineer - AI/ML, Multiple Locations
Redmond, WA $84,200.00-$180,400.00 2 weeks ago Seattle, WA $173,000.00-$242,000.00 1 week ago Seattle, WA $128,000.00-$150,000.00 1 week ago Bellevue, WA $173,000.00-$242,000.00 2 weeks ago Redmond, WA $140,900.00-$253,600.00 1 week ago Data Engineer, Home&Lifestyle Innovation Team
Data Engineer, P2 Science, Data, and Insights
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr