151 to 175 of 225 Remote Amazon Redshift Jobs

ROLE: A remote working Analytics Engineer will need to: Design and build data models Support implementation and maintenance of ELT pipelines Ingest data into Redshift Transform data using DBT YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will have the following skills and experience: Ability and experience interacting with More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

findings to senior stakeholders and help define next steps Improve profitability and efficiency across user journeys - both customer and partner side ️ Tools & Environment: SQL , Redshift , Looker Collaborative product-focused teams, embedded in a modern data stack What we're looking for: Solid experience in analytics or data roles within More ❯

programming experience, preferably in a high-level language like Python. And the basics: expertise in SQL and query optimization; familiarity with columnar databases (e.g., Redshift, Clickhouse, BigQuery, or Druid); expertise building data visualizations and dashboards. Compensation $ 178,500 USD annually and stock options. Compensation is identical within professional levels More ❯

the face of many nuanced trade offs and varied opinions. Experience in a range of tools sets comparable with our own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as More ❯

the face of many nuanced trade offs and varied opinions. Experience in a range of tools sets comparable with our own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as More ❯

data engineering best practices, including CI/CD, observability, versioning, and testing in data workflows Architect and evolve our data platform, including data warehousing (Redshift), lakehouse (Databricks), and orchestration (Airflow, Step Functions) capabilities Lead efforts around data governance/cataloging, compliance, and security, ensuring data is trustworthy and well … management and project delivery Strong hands-on experience in Python and SQL (bonus: Spark and DBT) Good familiarity with AWS services (e.g. Lambda, S3, Redshift, Glue - Databricks is a plus) Track record of designing and implementing scalable data platforms and ETL/ELT pipelines Knowledge of data warehousing and More ❯

maintain curated data layers to support reporting, analytics, and decision-making Ensure high availability, scalability, and performance of data warehouse systems (cloud-based, e.g., Redshift) Develop & Manage Data Products: Collaborate with business and domain experts to define and deliver high-value, reusable data products Implement best practices around versioning … as a Data Engineer, with a strong focus on data warehousing and data modeling Hands-on experience with cloud-native data tech (preferably AWS: Redshift, Glue, S3, Lambda, IAM, Terraform, GitHub, CI/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling More ❯

maintain curated data layers to support reporting, analytics, and decision-making Ensure high availability, scalability, and performance of data warehouse systems (cloud-based, e.g., Redshift) Develop & Manage Data Products: Collaborate with business and domain experts to define and deliver high-value, reusable data products Implement best practices around versioning … as a Data Engineer, with a strong focus on data warehousing and data modeling Hands-on experience with cloud-native data tech (preferably AWS: Redshift, Glue, S3, Lambda, IAM, Terraform, GitHub, CI/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling More ❯

Specialty Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads. Generative AI and Cutting-Edge Technologies: Expertise in Amazon Bedrock for deploying foundation models and managing scalable GenAI workloads. Proficiency in fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using … Amazon SageMaker JumpStart and Hugging Face on AWS. Experience leveraging Amazon Q (formerly AWS CodeWhisperer) Business and Developer for AI-powered coding productivity and automation. Machine Learning Frameworks and Pipelines: In-depth knowledge of Amazon SageMaker, including Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias … model training with multi-GPU clusters and optimization for high-performance inference. Data Engineering and AI Workflow Optimization: Proficient in building data pipelines with Amazon S3, AWS Glue, Lake Formation, and Redshift for AI and ML workloads. Experienced in optimizing data preparation for large-scale AI model training More ❯

Specialty Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads. Generative AI and Cutting-Edge Technologies: Expertise in Amazon Bedrock for deploying foundation models and managing scalable GenAI workloads. Proficiency in fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using … Amazon SageMaker JumpStart and Hugging Face on AWS. Experience leveraging Amazon Q (formerly AWS CodeWhisperer) Business and Developer for AI-powered coding productivity and automation. Machine Learning Frameworks and Pipelines: In-depth knowledge of Amazon SageMaker, including Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias … model training with multi-GPU clusters and optimization for high-performance inference. Data Engineering and AI Workflow Optimization: Proficient in building data pipelines with Amazon S3, AWS Glue, Lake Formation, and Redshift for AI and ML workloads. Experienced in optimizing data preparation for large-scale AI model training More ❯

we continue to scale out our platform with a fast growing list of customers. Our technologies include Ruby on Rails, React, Typescript, GraphQL, Redis, Amazon Redshift, and others. This position is open to remote candidates in North America. About the Team: This team is a specialized, cross-functional … speed, precision, and autonomy to eliminate friction points, address user pain, and accelerate value delivery where it's most needed. Watch our talk at Amazon Tech Talks: StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position. What You'll More ❯

Solutions and Applications Experience designing solutions for public cloud environments (Azure, AWS, or GCP) Knowledge of database technologies such as SQL, MySQL, Oracle, or Amazon Redshift Experience with Data & reporting solutions such as Power BI, Kafka, Pentaho, Elasticsearch, or Solr is advantageous Benefits Salary circa £70,000 to More ❯

Strong experience with designing solutions for publci cloud environments (Azure or AWS or GCP) Experience with database technology such as SQL, MySQL, Oracle or Amazon Redshift Any experience of Data & reporting solutions such as Power BI, Kafka, Pentaho, Elasticsearch or Solr would be an advantage You will be More ❯

skills in the following: Proven experience as an AWS Data SME or AWS Data Engineer , working extensively with AWS cloud services. Expertise in AWS Redshift, Glue, Lambda, Terraform, Kinesis, Athena, and EMR . Strong ETL/ELT development and data warehousing experience. Proficiency in Python, Java, or Scala for … data processing and automation. In-depth knowledge of SQL, Apache Kafka, and Amazon RDS . Experience in data security, governance, and compliance best practices . Familiarity with CI/CD pipelines, DevOps methodologies, and monitoring/logging best practices . Strong problem-solving skills , with the ability to work More ❯

by us monthly to save for your future. Your Role And Responsibilities We are excited to offer an Application Architect position specialising in the Amazon Web Services (AWS) cloud environment. This role is perfect for an experienced professional who wants to leverage their expertise in designing scalable, secure, and … Familiarity with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation. Knowledge of data engineering and experience with AWS data services like Redshift, Glue, or Kinesis. Experience with CI/CD pipelines and automation on AWS, such as using AWS CodePipeline, CodeBuild, and CodeDeploy Seniority level Seniority More ❯

APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behavior analysis, gaming analytics, and … roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. More ❯

APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behavior analysis, gaming analytics, and … roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. More ❯

APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behavior analysis, gaming analytics, and … roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. More ❯

AWS Skillset Delivery experience Building solutions in snowflake Insurance experience – advantageous but not necessary Key Responsibilities: Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native … with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and transformations Python programming for data processing and analysis is a plus Strong acumen More ❯

AWS Skillset Delivery experience Building solutions in snowflake Insurance experience – advantageous but not necessary Key Responsibilities: Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native … with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and transformations Python programming for data processing and analysis is a plus Strong acumen More ❯

Spark. Leverage Python to develop robust ETL workflows and data-processing scripts. Architect, deploy, and manage cloud-based data systems on AWS (e.g., S3, Redshift, EMR). Collaborate with product and analytics teams to ensure data availability, quality, and accessibility. Monitor and troubleshoot system performance, ensuring scalability and reliability. … tasks. Deep understanding of building and optimizing APIs. Experience with big data frameworks like Apache Spark. Solid hands-on experience with AWS (S3, Lambda, Redshift, Glue, etc.). Strong SQL skills and familiarity with data modeling concepts. Preferred Skills Problem-Solver: Ability to address complex technical challenges efficiently. Team More ❯

making Promote modern data engineering practices, including CI/CD, observability, version control, and testing Architect and evolve our data platform, including data warehousing (Redshift), lakehouse (Databricks), and orchestration tools (Airflow, Step Functions) Lead data governance, cataloging, compliance, and security efforts to ensure trustworthy and well-managed data Essential … projects Hands-on expertise in Python and SQL; experience with Spark and DBT is a plus Familiarity with AWS services such as Lambda, S3, Redshift, and Glue; Databricks experience is advantageous Experience designing and implementing scalable data platforms and ETL/ELT pipelines Knowledge of data warehousing, data lake More ❯

AWS Skillset Delivery experience Building solutions in snowflake Insurance experience – advantageous but not necessary Key Responsibilities: Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native … with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and transformations Python programming for data processing and analysis is a plus Strong acumen More ❯