1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
Companies across the country are racing to modernize their data infrastructure, driving strong demand for skilled professionals who can design and manage scalable cloud pipelines. This remote opportunity offers 500+ open positions for candidates ready to work with cutting-edge AWS technologies from anywhere in the USA. As organizations continue to migrate workloads to the cloud, the need for talent to fill AWS data engineer vacancies keeps growing steadily.
Successful candidates typically bring hands-on experience with AWS services such as Redshift, Glue, S3, and Lambda, along with strong skills in Python or Scala and SQL. Familiarity with data warehousing concepts, ETL pipeline design, and distributed computing frameworks like Spark is essential. Employers seeking to hire a AWS data engineer often value problem-solving ability, attention to data quality, and a collaborative mindset that supports cross-functional teams in delivering reliable, high-performance data solutions.
Remote work for this role usually involves flexible scheduling, cloud-based collaboration tools, and close coordination with distributed engineering teams spanning multiple time zones. The U.S. market shows consistent hiring momentum for cloud data talent, as businesses in finance, healthcare, and technology sectors expand their analytics capabilities. This trend makes remote arrangements an increasingly practical and attractive option for both employers and job seekers nationwide.
If you are ready to advance your career and explore new AWS data engineer positions, now is an excellent time to take the next step. Global Work AI connects talented professionals with forward-thinking companies seeking dedicated cloud experts. Explore current openings today and discover how your skills can shape the future of data engineering.

Jobs for Humanity
Design, build, and maintain scalable data pipelines using frameworks like Spark and Kafka. Architect data models for analytical performance in cloud data warehouses. Monitor pipeline health and establish automated testing frameworks.

LED FastStart
Design, build, test, and maintain scalable data engineering components and platform services. Deliver high-quality data pipelines, transformations, and ETL/ELT processes.

Vatica Health
Design, build, and maintain data pipelines and APIs for structured and unstructured data. Develop ETL/ELT processes, optimize performance, and ensure data reliability. Implement monitoring and logging for production operations, and lead architecture and code reviews.

S R INTERNATIONAL INC
Design and maintain data pipelines, integrate and transform datasets, and improve data quality. Develop analytics solutions to support program delivery and decision-making. Collaborate with cross-functional teams and automate processes to enhance operational efficiency.

First Citizens Bank
Design, build, and support scalable data pipelines and cloud-based data solutions using AWS Services, Snowflake, dbt, Python, and SQL. Implement data warehouse solutions and ETL/ELT processes for reporting and analytics.

9amHealth
Own the architecture and technical standards for the data platform. Design, build, and maintain scalable ETL/ELT pipelines in Python using AWS Glue. Author and optimize complex SQL and database objects in Redshift.
INFO ORIGIN
Design, develop, and maintain scalable data pipelines and architecture. Build cloud-based data solutions using AWS services and optimize ETL/ELT processes. Integrate and manage large datasets, develop data models, dashboards, and analytical solutions.

beehiiv
Build and maintain Clickhouse Data Models and Aggregations for analytics. Collaborate with Product Engineering to design event streaming applications. Automate deployments of schemas, manage database migrations, and enhance the Kafka Streaming Ecosystem.

Association of American Medical Colleges
Develop and maintain scalable ETL/ELT data pipelines, ensuring accurate data flow across systems. Design and optimize data architecture, including data models and warehouses. Implement data quality frameworks and collaborate with cross-functional teams to deliver data solutions.

Capgemini
Develop and maintain scalable data pipelines and integration solutions. Assist in building enterprise data products for reporting and analytics. Optimize SQL queries and troubleshoot data processing issues.

S R INTERNATIONAL INC
Design and maintain scalable data pipeline architectures. Develop cloud-based data solutions using AWS services and build data orchestration workflows. Integrate and process large datasets, implement ETL processes, and develop analytical environments.
EGROVE SYSTEMS CORPORATION
Design and implement data pipelines using AWS services. Manage and optimize cloud-based data solutions, ensuring data quality and governance. Collaborate with cross-functional teams to integrate data from various sources and maintain version control using Git.

Huzzle
Design, build, and maintain scalable ETL and ELT data pipelines. Develop and optimize data architectures, databases, and data warehouses. Integrate data from various sources and maintain data quality and security.

TEKsystems
Design and deliver scalable data solutions using AWS and Snowflake. Develop data ingestion, transformation, and orchestration pipelines, ensuring adherence to data governance and security standards.
IIIIIIUS
Design, build, and maintain data pipelines and ETL/ELT processes for federal data systems. Develop and optimize cloud-based data architectures in AWS or Azure. Ensure data quality and compliance with federal security requirements. Collaborate with DevOps teams on CI/CD and infrastructure as code.

Jobgether
Build, maintain, and optimize data infrastructure for client marketing campaigns. Onboard new client data, transform source files into production-ready datasets, and ensure efficient data pipeline operations.

Kindsight
Build and maintain ELT pipelines for data ingestion from Salesforce into AWS data lake. Develop data transformation layers and dimensional models using dbt on Redshift or Snowflake. Write and optimize SQL for data transformation and validation, and implement automated data quality checks.

TEKsystems
Design and deliver scalable data solutions using AWS and Snowflake. Collaborate with team leads, architects, and stakeholders to gather requirements and translate them into technical solutions.

Bright Vision Technologies
Develop and maintain data pipelines, transformations, and reports. Implement data quality checks, access controls, and monitoring procedures. Tune SQL and processing jobs for performance and cost, and document data definitions and operational procedures.

BAE Systems
Design and implement ETL pipelines to ingest and transform data from various sources. Build and maintain data warehouses, ensuring data quality and governance. Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Sabree Software Services
Develop tailored solutions for open source data delivery, including architecting, deploying, and maintaining AWS resources. Provide Data Engineering support by cleaning and modeling data, moving data between cloud environments, and validating data formats.

Fearless
Build and maintain ETL/ELT pipelines, develop data transformations, and integrate data from various systems. Analyze data quality, implement improvements, and create datasets for reporting and analytics.

ICA.ai
Design, build, and maintain data pipelines and platforms. Develop data models and architecture, ensuring data integration and infrastructure reliability. Collaborate with data scientists and analysts, documenting processes and workflows.

People Data Labs
Build infrastructure for data ingestion, transformation, and loading using Spark, SQL, AWS, and Databricks. Develop CI/CD pipelines and anomaly detection systems to enhance data quality. Create an entity resolution framework for merging large datasets and solve undefined data engineering problems.

Huron
Support daily operation and monitoring of data pipelines across multiple client environments, triaging failures and escalating issues. Set up and configure client-facing applications, validate data flows, and support provisioning of new environments.

UnitedHealth Group
Assist in resolving technical incidents and data quality issues within the Master Data Management (MDM) system. Utilize ServiceNow for incident tracking and documentation, support AWS cloud infrastructure maintenance, and leverage AI tools for workflow automation.
Redwood Logistics
Lead and mentor a team of data engineers in designing, developing, and maintaining scalable data pipelines, data vaults, and data warehouses. Manage project backlogs, sprint planning, and prioritization. Collaborate with stakeholders to deliver key metrics and establish data strategy.

Nerdery
Design and implement end-to-end data pipelines and ETL/ELT processes. Architect scalable data platforms using patterns such as medallion/multi-hop, data mesh, or lakehouse. Migrate data infrastructure from on-premise or hybrid environments to AWS.

Stefanini Group
Perform technical analysis and troubleshooting on complex integrated systems. Provide primary technical support for software and data issues, monitor application support, and consult on testing strategies.

Tiger Analytics Inc.
Architect data pipelines using Amazon Bedrock and SageMaker for Generative AI applications. Implement vector search capabilities with Amazon OpenSearch Serverless. Build scalable ETL pipelines using AWS Lambda, Glue, and Kinesis. Manage data lakehouses with Amazon S3, Lake Formation, and Redshift.

Guidehouse
Own data platforms from ingestion to analytics, ensuring correctness and auditability. Write production-quality Python code and build services, APIs, and tooling. Design and orchestrate cloud data pipelines on AWS, implementing data-quality checks and clean failure handling.

Sola Payments
Administer and optimize production databases including Amazon Redshift, MySQL, Microsoft SQL Server, and PostgreSQL. Design data architecture, manage ingestion pipelines, and implement monitoring for performance issues.

CONCEPT SOLUTIONS LLC
Manage PostgreSQL databases on Amazon RDS, including application-level administration. Plan and execute database migrations, performance tuning, and optimization. Verify backups and enhance database availability and reliability.
Everforth ECS
Design, develop, and maintain dashboards and reports using Power BI, Tableau, and Amazon QuickSight. Translate business requirements into technical specifications for data visualization. Perform ETL on data from various sources and manage user access and workspace configurations.

McGraw Hill LLC.
Own data pipelines and analytics models in Databricks, from ingestion to serving layer for reporting APIs and UIs. Build and maintain scalable batch and incremental data pipelines using PySpark and Spark SQL. Design reporting data models and optimize SQL serving layers.

Quantiphi
Design, build, and maintain cloud-native data pipelines and datalake architectures in Snowflake for Asset-Backed Finance analytics. Develop scalable ETL/ELT workflows for data ingestion and transformation.

Horizon3
Design, build, and maintain data pipelines, including AWS Glue/Spark jobs. Operate core data infrastructure, including the data warehouse and BI/reporting platform. Evaluate warehouse strategy and define contracts between producer and consumer teams.

First Citizens Bank
Design, build, and support scalable data pipelines and cloud-based data solutions using AWS Services, Snowflake, dbt, Python, and SQL. Implement data warehouse solutions and ETL/ELT processes for reporting and analytics.

AllCloud
Design, build, and deploy scalable AWS environments. Lead cloud migrations and implement Infrastructure as Code using Terraform and AWS CloudFormation. Develop CI/CD pipelines and serverless solutions, ensuring robust monitoring and security practices.

Amazon
Deliver strategic technical projects and design new storage, data, and caching systems at massive scale. Lead architecture and engineering strategy for foundational services across S3, EBS, Glacier, and analytics layers. Mentor engineers while solving durability, availability, and latency problems.
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