1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
Companies nationwide are racing to modernize their data infrastructure, and this remote senior data engineer role sits right at the center of that shift. With 500+ open positions available, this is a strong opportunity for professionals who want to build scalable pipelines while working from anywhere in the country. Demand for skilled data engineers continues to climb as organizations lean harder on analytics and machine learning.
The strongest candidates bring deep experience with distributed systems, cloud platforms like AWS, Azure, or GCP, and modern data warehousing tools such as Snowflake or BigQuery. Proficiency in Python, SQL, and orchestration frameworks like Airflow is expected, along with a solid grasp of data modeling and ETL/ELT design. Since this is a senior-level position, familiarity with streaming architectures, CI/CD practices, and mentoring junior engineers is highly valued. Strong communication skills help bridge the gap between technical teams and business stakeholders.
Remote work has become the norm for data engineering roles across the USA, with teams collaborating asynchronously through cloud-based tools and shared documentation. Employers increasingly hire a senior data engineer without geographic restrictions, tapping into talent pools far beyond a single metro area. This shift has fueled a competitive market for data engineer vacancies, particularly for professionals who can operate independently while delivering reliable, well-documented systems.
If you're ready to advance your career, exploring senior data engineer jobs in the USA through Global Work AI is a great next step. New data engineer positions are added regularly, making it easy to find a match suited to your experience and goals. Take a moment to browse current listings and discover where your next opportunity might lead.

SCI SOLUTIONS GLOBAL
Develop and maintain ETL pipelines, design data warehouse solutions, and process structured and unstructured data. Lead data integration efforts using Azure Data Factory, Databricks, and ensure compliance with healthcare interoperability standards such as HL7 and FHIR.
Zeus AI
Own the data platform for machine learning weather models, including training and real-time inference. Design and operate pipelines to ingest and serve remote sensing datasets. Maintain systems for monitoring pipeline health and performance.

Scenthound Franchising
Build and maintain data pipelines from various sources into Snowflake, monitor pipeline health, and address schema/API changes. Design Snowflake architecture and create documented models for a Customer 360 view.

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.

Dataspace
Interpret business requirements, design and implement data pipelines, and identify opportunities for continuous improvement. Utilize modern data tools including dbt, Dagster, and Databricks to manage data workflows from source to target.

Keebo
Design and build reliable data pipelines for processing large volumes of customer warehouse data. Build and manage machine learning operations infrastructure, including feature pipelines and deployment. Ensure data quality and modeling accuracy, and mentor engineers on effective AI tool usage.

CoreWeave
Design and implement scalable data systems and pipelines, develop data transformation frameworks, improve data warehouse performance, build product telemetry, and support data-powered AI applications. Monitor production systems and troubleshoot incidents as part of operational support.

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.

Beatport
Lead the design and delivery of data pipelines and warehousing infrastructure. Own production data pipelines, ensuring reliability and performance. Develop integrations with partners and maintain documentation for APIs and data models.

Zensar
Design, build, and optimize enterprise-scale data pipelines and architecture for performance and scalability. Evaluate and redesign data processing workflows, selecting appropriate technologies for optimization.

TIAG
Coordinate and execute data migration and engineering solutions, support source system integration, and develop a new IT system for enterprise data analytics. Conduct complex data analysis, build data systems and pipelines, and prepare data for modeling.

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.

Foundever®
Lead data migration to a modern Data Lake and Data Warehouse on Databricks/Azure. Design and optimize scalable data pipelines for operational and business reporting. Ensure data quality and governance while collaborating with cross-functional teams to deliver data solutions.

Dimensional Fund Advisors
Manage Dimensional’s enterprise investment data warehouse, focusing on data technology solutions for Research, Portfolio Management, Trading, and Analytics. Design, develop, document, and test application services, optimize data pipelines, and ensure data consistency.

Machinify
Design, build, and operate automated data pipelines for health plan data. Model complex healthcare data into reliable analytical models and integrate legacy processes into a common platform. Ensure data quality through validation, automated testing, and CI/CD practices.

Mux
Own the Mux data stack from ingestion through Snowflake and dbt to the semantic layer. Build and maintain data ingestion from production systems, manage the platform day-to-day, and ensure data quality.

Hunter Agriculture
Design and optimize data pipelines for ingestion and transformation across enterprise platforms. Integrate structured and semi-structured data into the Snowflake data platform. Implement data governance and security practices, and monitor pipeline performance.

Great Minds
Lead the delivery of complex data pipelines and integrations, including source onboarding and operational handoff. Provide platform support across ingestion, transformation, and monitoring.

Teal Health
Own and manage Teal’s data warehouse architecture, performance, and documentation. Extend Fivetran ingestion and troubleshoot connector issues. Build and maintain the dbt transformation layer for data modeling.
Dynamo Technologies
Design, develop, and maintain data pipelines and products for enterprise analytics. Develop ETL processes to extract, transform, and load data from multiple sources. Write and optimize complex SQL queries using enterprise databases.

Rearc
Serve as a senior technical contributor on client data engineering projects, guiding architecture and ensuring solutions meet client expectations. Design and implement scalable data pipelines and lakehouse architectures on Databricks.

National Debt Relief, LLC.
Own the architecture and reliability of data domains, developing and maintaining Python-based ingestion pipelines and data workflows using dbt, Dagster, and Snowflake. Identify improvements across the platform, manage Snowflake infrastructure, and optimize performance.

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.

SimplePractice
Lead the evolution of the data stack, building infrastructure for product intelligence, financial reporting, and analytics. Collaborate with Product, Analytics, and Engineering teams to create scalable systems and standardized metrics.

AnewHealth
Maintain complex data systems, deliver improvements, and build new solutions for Pharmacy Benefit Management clients. Collaborate with engineers and business stakeholders, participate in Agile ceremonies, and produce technical specifications.

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.

Massive Rocket
Design and maintain Snowflake data models for customer engagement and reporting. Build customer-level data structures for segmentation and personalisation. Create pipelines to sync customer data into Braze and other tools.

Reach Financial
Develop and manage data pipelines, models, and schemas. Champion data engineering best practices, collaborating with cross-functional teams to improve engineering practices and tools. Monitor and troubleshoot data pipelines, ensuring data quality and reliability.

Coderio
Design, build, and maintain scalable data pipelines for batch and streaming data ingestion. Collaborate with Data Scientists and ML Engineers to automate workflows and deploy resilient data pipelines. Monitor and optimize pipeline execution and data quality across cloud platforms.

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.

Penn Interactive
Collaborate with stakeholders to identify data-driven projects, build data pipelines, and resolve related issues. Develop dbt models using SQL, manage Airflow tasks, and assist team members with data analysis and modeling challenges.

Honeydew
Lead the design and migration of data models, execute data migrations, and build reliable data pipelines. Ensure data security and governance by implementing access controls and audit logging. Review code changes from teammates and assist with data requests and security reviews.

Clear Street
Own data integrity for multiple business areas, ensuring accurate data flow and reconciliation across systems. Manage data warehouse layers using dbt, establishing data contracts and governance.

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.

EAB
Lead and develop a team of data engineers implementing Navigate modules for partner campuses. Own the implementation approach for Navigate Student Success and define scalable delivery practices for newer offerings. Establish processes and quality controls for high-quality data integrations.

Spoiler Alert
Build and maintain the data platform, ensuring reliable data movement and transformation. Own the analytical schema in the data warehouse for internal and customer-facing analytics.

Seattle Search Group
Lead the development and operation of enterprise data environments, including data architecture and engineering. Build and maintain ETL/ELT pipelines, optimize T-SQL queries, and establish CI/CD processes.

LendingTree
Build and operate scalable batch and real-time streaming pipelines, ETL/ELT workflows, and database applications. Design dimensional models and reusable datasets, perform complex data analysis, and automate quality checks.
Bitful Consulting
Develop and maintain scalable data pipelines and reusable datasets in a Databricks lakehouse environment. Ingest, validate, clean, and transform structured and unstructured data using Python, PySpark, and SQL. Build data models and reporting datasets for Tableau and other analytics tools.
10,000,000+ more jobs available!