1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
Companies nationwide are racing to modernize their data infrastructure, and skilled leaders are in short supply. We currently have 500+ remote lead data engineer jobs open for professionals ready to architect scalable pipelines and mentor high-performing teams. This is a strong opportunity for those seeking flexibility without sacrificing career growth.
The strongest candidates bring deep expertise in distributed systems, cloud platforms such as AWS, Azure, or GCP, and modern data warehousing tools like Snowflake or BigQuery. Proficiency in Python, SQL, and orchestration frameworks such as Airflow is essential, along with a solid grasp of data governance and pipeline optimization. Leadership skills matter just as much as technical depth, since this role often involves guiding engineers, setting architectural standards, and collaborating closely with analytics and product teams to translate business needs into reliable data solutions.
Remote work has become the norm for data engineering leadership roles across the USA, with companies embracing distributed teams to access top-tier talent regardless of geography. Hiring demand remains strong as organizations invest heavily in AI-driven analytics, real-time processing, and cloud migration projects. Employers increasingly offer asynchronous collaboration tools and flexible schedules, making it easier for experienced engineers to lead initiatives from anywhere while maintaining a healthy work-life balance.
If you're ready to hire a lead data engineer or explore new lead data engineer vacancies, now is the time to act. Browse current lead data engineer positions on Global Work AI and take the next step toward a rewarding, remote-first career shaping the future of data.

The Knot Worldwide
Design and implement the shared data model and semantic layer for analytics teams. Define authoritative sources for core business metrics and enforce standards for dataset structure and documentation.
Anchor Mission Critical
Lead the planning, execution, and validation of mechanical commissioning activities for data center projects. Oversee mechanical Pre-Functional Checks (PFCs), Functional Performance Testing (FPT), and Integrated Systems Testing (IST).

Verisma
Design and implement scalable data architectures on Azure, build and maintain data pipelines, and ensure compliance with HIPAA/HITRUST. Lead the development of ETL/ELT processes, optimize data storage strategies, and provide technical guidance to the engineering team.

Allstate
Lead the Risk Data and Risk AI Engineering teams, providing strategic direction and oversight. Ensure delivery of governed, analytics-ready risk data products and AI solutions.

JLL
Support engineering teams by executing changes to data security tooling environments. Troubleshoot issues via ticketing system and provide first-tier support for data security tooling.

Vantora
Design and build machine learning models for prediction and optimization using large datasets. Collaborate with product managers and engineers to define use cases and gather requirements. Build and maintain data pipelines for model training and deployment.

Cognito Therapeutics
Architect the core data model and define technology standards for the data stack. Integrate real-world patient data and external sources into a unified platform. Develop scalable ETL/ELT pipelines for data ingestion and transformation. Establish data governance and compliance with HIPAA standards.

Atwell, LLC
Lead technical execution of engineering projects for data centers, ensuring quality and adherence to standards. Prepare and review engineering calculations, technical reports, and project documentation. Develop electrical engineering deliverables and perform electrical studies and analyses.

Bounteous
Lead the technical design and architecture of agentic solutions on Claude, ensuring production rollout and continuous improvement. Oversee integrated squads, mentor engineers, and define evaluation frameworks to drive engineering decisions.

Oddball
Set the technical approach for migrating legacy data and pipelines onto an Azure and Databricks lakehouse. Guide migration teams on patterns, reconciliation, and quality gates. Design reusable migration pipelines using Azure Data Factory and Azure Databricks.

Virtasant
Design and implement data connectors and pipelines from various enterprise systems into Snowflake on Azure. Ensure data quality and lineage, and manage data contracts and versioned schemas.

Jobgether
Define and lead the architecture of generative AI solutions, establish engineering standards, and oversee system evaluation and security. Design, develop, and deploy multi-agent orchestration solutions and custom Model Context Protocol servers.

Bounteous
Lead the technical design and delivery of agentic solutions on Claude, ensuring production readiness and continuous improvement. Mentor engineers across various roles, implement evaluation frameworks, and oversee the development lifecycle.

United Rentals
Administer the Snowflake platform, managing users, roles, and security policies. Design and build data pipelines for data ingestion from various sources, ensuring data quality and performance.

Deloitte
Design and implement data platform components, including ingestion, transformation, storage, and access patterns. Build and maintain data pipelines using cloud-based services and modern data engineering tools.

3M
Lead the architecture and development of scalable data pipelines for AI/ML workloads. Oversee end-to-end data engineering processes including ingestion, transformation, storage, and monitoring.
Total Performance Consulting
Build and operate integrations with lab and diagnostics partners, ensuring data is complete and normalized. Connect EMR and EHR systems using FHIR, integrate payer data, and handle mobile health data.

LawnStarter
Conduct modeling and analysis to identify insights and optimizations within the marketplace. Create and maintain reporting systems that are organized and actionable. Collaborate with product managers and stakeholders to provide data-driven recommendations and ensure metrics are trusted and current.
Navanta
Design and implement the lakehouse architecture using Apache Iceberg, manage secure data ingestion from bank systems, and own data modeling for key metrics. Ensure data quality, handle schema drift, and document data lineage.

The Cigna Group
Translate business opportunities and operational challenges into actionable data requirements and analytical deliverables. Partner with business stakeholders to document requirements and assess data quality. Develop analytical datasets and execute functional testing for engineered datasets.

Circle
Build and own evaluation infrastructure, including CI/CD pipelines and datasets for AI agents. Diagnose quality breakdowns and prototype solutions. Grow datasets through annotation workflows and AI-generated conversations. Run structured experiments to evaluate models and optimize performance.

FICO
Build and maintain Python data pipelines for large datasets, develop and deploy machine learning models in AWS, monitor model performance, and automate retraining. Design A/B tests to measure business impact and lead design discussions and code reviews.

DecisionPoint | Cortek
Lead the design, implementation, maintenance, and optimization of ETL pipelines. Maintain and optimize SSIS packages, develop SQL queries, and implement API integrations. Establish reliable processes for data reconciliation, schema changes, and error handling.

Gallagher
Lead the design and maintenance of scalable ETL/ELT pipelines using Azure Data Factory and Databricks. Develop data ingestion and transformation workflows from various sources, optimize T-SQL queries, and support data models for analytics and AI/ML use cases.

airSlate
Lead and grow the analytics engineering and web analytics team, setting priorities and ensuring steady delivery. Own the semantic layer by designing and evolving SQL-based models and metric definitions.

Oxford Global Resources
Lead and mentor a team of data engineers, overseeing project planning, code reviews, and career development. Own the platform strategy for Azure and Microsoft Fabric, consolidating redundant components. Develop complex T-SQL queries and manage SQL Server environments for performance and reliability.
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.
Amatriot Group
Design and implement scalable cloud-based data infrastructure and ETL pipelines using AWS services. Lead the implementation of data mesh architecture and ensure data governance practices are established. Collaborate with data domain teams to support analytics and maintain data catalogs.

Huron
Provide technical leadership for the engineering team, translating requirements into actionable work. Mentor engineers through code reviews and design feedback, ensuring high standards. Audit existing analytics applications and design integration patterns for interoperability.

Redhorse Corporation
Lead technical direction and task prioritization for team members; conduct code reviews and mentor engineers in Python and SQL. Collaborate with government stakeholders to translate mission requirements into technical specifications and scalable data models.

Snowflake
Lead scoping, architecture, and direction for migration projects, collaborating with multiple teams to design, build, and deploy software systems on Snowflake. Provide technical guidance and mentorship to clients, ensuring effective use of the Snowflake platform.

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.

STN Inc
Design and build the fleet knowledge model for assets, topology, and configuration. Develop a decision-capture pipeline to accumulate labeled human decisions. Own the data access layer for telemetry sources and negotiate requirements with telemetry teams.

TrustEngine
Oversee the relational database estate, including Microsoft SQL Server and MySQL environments. Perform a time-critical OS upgrade and establish data standards. Lead high availability configurations and ensure the database environment meets customer and audit requirements.

N2G
Lead the migration and consolidation of enterprise data into a cloud-based data lake and warehouse. Design data architecture, develop and optimize ETL/ELT pipelines, and ensure data integrity through validation frameworks.
Maximus
Administer and enhance MAXIMUS’ data warehousing systems, ensuring data security and compliance. Lead system analysis and development, including Business Intelligence and ETL processes. Produce system impact analysis documentation and develop custom frameworks for data ingestion.

Astrana Health, Inc.
Lead the design and development of the Constellation Lakehouse and Connect API. Build scalable data pipelines, integrate healthcare data sources, and develop unified data models.

Integrate
Engage with clients to understand business and technical requirements, translating them into actionable specifications. Manage a team of junior data analysts and build custom reports, dashboards, and data models.

Build AI applications, agents, and workflow automations to solve business problems. Translate business challenges into AI-native workflows and technical delivery plans. Organize engineers' work, mentor team members, and establish engineering practices for reliable solutions.

Seer Interactive
Lead the technical architecture of Seer’s data platform, overseeing end-to-end data management across various GCP tools. Design and implement data models, automate workflows, and mentor team members through code reviews and pair programming.
10,000,000+ more jobs available!