1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
Companies nationwide are racing to modernize their data infrastructure, and demand for a staff data engineer has never been stronger. With 500+ open positions available, this remote opportunity allows experienced professionals to architect scalable systems from anywhere in the country. Organizations across the USA are actively looking to hire a staff data engineer who can lead complex initiatives and mentor engineering teams.
Success in this role requires deep expertise in distributed systems, cloud platforms like AWS, GCP, or Azure, and proficiency in languages such as Python, Scala, or Java. Strong knowledge of data pipeline orchestration tools, warehousing solutions, and streaming architectures is essential. Candidates should demonstrate a track record of designing large-scale data platforms, optimizing performance, and driving technical strategy across cross-functional teams. Leadership skills and the ability to influence architectural decisions are equally valued alongside hands-on technical mastery.
Remote work for a staff data engineer typically involves close collaboration with distributed teams using asynchronous communication tools and cloud-based development environments. The hiring outlook remains robust, as businesses continue investing in data-driven decision-making and infrastructure scalability. Employers increasingly offer flexible remote arrangements to attract top-tier talent, making staff data engineer vacancies some of the most competitive listings in the current tech job market throughout the USA.
If you're ready to take the next step in your career, exploring staff data engineer positions has never been easier. Global Work AI connects skilled professionals with forward-thinking companies seeking top talent for this critical role. Discover new opportunities and find the right fit for your expertise today.

Opinov8
Lead the design, architecture, and implementation of enterprise MDM solutions using Reltio. Configure Reltio data models, develop integrations using REST APIs, and establish data governance practices.

Jobgether
Develop advanced data engineering and applied data science solutions for utility and energy clients. Design and maintain ETL/ELT pipelines, build reusable Python and SQL components, and implement automated quality checks.

JLL
Own the software development lifecycle of a Python application implementing ETL workflows. Build and maintain end-to-end solutions in cloud environments, automate business processes, and deliver accurate reporting.

Opinov8
Own and drive technical architecture for data initiatives, design and maintain scalable data pipelines in a cloud-native environment, and lead enterprise Master Data Management (MDM).

Helm Health
Design and build automated data pipelines and ETL/ELT processes. Improve data quality and monitoring across production systems. Build internal tooling to enhance engineering workflows.

Pathstream
Lead large, cross-team technical projects from design to production. Own the team's AI delivery and maintain shared AI patterns. Drive improvements in verification practices and ensure quality and security in workflows.

Jobgether
Lead a team of data scientists, defining technical strategies for evaluating advanced technologies. Develop machine learning models, analytical solutions, and data pipelines while conducting structured evaluations and benchmarks.

Helm Health
Lead the architecture and technical direction for the health data platform, focusing on data ingestion, conformance, storage, and serving. Drive technical leadership across domains including provider network, eligibility, claims, and plan design data.

Consumer Edge
Design and maintain identity data models and matching logic. Build and run production data pipelines, ensuring data quality and anomaly detection. Lead design reviews, mentor data engineers, and set technical direction for identity and audience data.

LMI
Own the architecture and implementation of scalable data pipelines and products. Integrate and transform data from multiple sources, develop data models and ontology, and ensure data quality and security.

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.

Alight
Lead the design and implementation of the Data Engine’s ingestion, transformation, and orchestration infrastructure. Develop extensible data models and transformation frameworks, and build developer tooling for independent integration delivery.

Function Health
Develop and maintain tracking infrastructure for product analytics and experimentation. Build data processing infrastructure with automated schema evolution and monitoring. Create ML infrastructure for feature computation and model serving, ensuring robust testing and observability.

InfluxData
Set technical strategy for InfluxDB 3.0, design and write production Rust for the storage engine, and drive distributed caching, reliability, and performance. Lead engineering standards across teams, mentor engineers, and participate in on-call rotations to ensure operational excellence.

CertifyOS
Lead a team of engineers to deliver data platform initiatives, owning the architecture across OLTP, OLAP, and NoSQL stores. Design and operate distributed real-time and batch pipelines, ensuring data reliability, freshness, and quality.

Jobgether
Lead the adoption of AI-native development workflows, collaborating with engineering teams to automate processes. Design and implement artifact pipelines and deterministic deployment hooks.

Fanatics Betting & Gaming
Own the architecture and design of ingestion pipelines and data delivery systems. Define frameworks for pipelines and monitoring, lead diagnosis of data integrity issues, and set reliability standards.

Nucleus Security
Own the architecture of large-scale data processing systems, including ingestion, normalization, and analytics. Design data models for high-volume workloads, optimize SQL queries, and architect distributed job processing systems.

Wonderly
Develop and enhance internal tools to improve operational excellence and reduce reliance on external vendors. Collaborate with teams to ensure tools meet production needs and support AI-driven processes.

ServiceNow
Design and oversee deployment of data architecture and pipelines for structured and unstructured data. Develop technical tools for data cleansing and transformation, implementing automated processes for data integrity.

Experity
Lead the architecture and delivery of scalable ETL/ELT pipelines and data platform services. Define integration patterns for databases and APIs, design reusable data models, and solve complex processing challenges using Python and SQL.

Coinbase
Set the technical direction for Coinbase's financial data layer, partnering with Accounting and FP&A for month-end and quarter-end close. Build audit-ready financial data and pipelines, design source-of-truth datasets in Snowflake/Databricks, and create scalable batch pipelines using Airflow/dbt.

Headway
Design and own the architecture for tools that help providers capture, convert, and retain clients. Lead technical direction on porting and caseload tooling, collaborating with product, design, data, Sales, CX, and pricing teams. Drive experiments and measure product impact to achieve company goals.

Palmetto Clean Technology
Own the technical design of the data platform, ensuring trustworthy data across the customer journey. Build data products, manage data governance, and operate ingestion and orchestration pipelines. Collaborate with finance, operations, and product teams to meet evolving data requirements.

CircleCI
Drive the development of agentic software development lifecycle (SDLC) by defining processes from change identification to impact measurement. Build and support shared tooling for engineering teams, ensuring adoption and usability.

Rhino
Design and build data foundations, including event and data models, ingestion from databases and partner integrations. Write production application code for services, APIs, and jobs that generate and use data.

StratusGrid
Drive technical architecture and engineering standards for data optimization products. Lead technical design for new features, contribute production code, and improve data architecture. Diagnose bottlenecks across data systems and implement optimizations.

WEX
Lead the design and delivery of data acquisition pipelines, ensuring high performance and reliability. Develop reusable ingestion services and establish automated testing and CI/CD practices. Guide engineers in architecture decisions and maintain technical specifications.

Jamf
Lead complex analytical projects from scoping to delivery, partnering with senior leadership across departments. Define metrics frameworks, data modeling practices, and governance standards.

Webflow
Design and build data solutions across batch, streaming, and real-time workloads. Develop reliable data pipelines using Spark, Kafka, and Airflow. Enhance data lake and platform capabilities, ensuring data quality and governance. Collaborate with teams to troubleshoot issues and mentor engineers.

Alkami Technology
Lead complex data migration initiatives, coordinating cross-functional delivery activities to ensure successful onboarding outcomes. Serve as a senior advisor for executive stakeholders, guiding strategic conversion planning and resolving escalated migration challenges.

b.well Connected Health
Design and implement real-time health data exchange solutions, build Patient Access APIs and Bulk FHIR APIs, and develop connections to national networks. Create scalable data pipelines from various healthcare sources and implement FHIR R4 across integration points.

Intuitive Machines
Develop subsystem designs and perform requirements definition and flowdown. Create interface specifications and design documents for Avionics subsystems.

GitHub, Inc.
Design, build, and maintain secure, reliable, and scalable data infrastructure in Azure and AWS. Lead initiatives to onboard new security telemetry and close visibility gaps. Establish data governance practices for security telemetry and define security telemetry policies.

Corning
Lead the design and evolution of enterprise data architecture, including data models and reusable data products. Define data ingestion, transformation, storage, and serving patterns across cloud platforms.

Lead the design and delivery of data products, including ingestion pipelines, data models, and services for infrastructure management. Strengthen data products with quality checks and documentation.

Airbnb
Develop and implement data catalog products for data discovery, metadata management, and data quality. Build metadata infrastructure for governance, including data classification and access control. Collaborate with teams to ensure datasets are cataloged and meet regulatory requirements.

Reality Defender
Own the end-to-end data platform for AI research, including ingestion, preprocessing, governance, and export of various media types. Scale the Databricks lakehouse and distributed processing stack, making architecture decisions.

PlayStation Global
Design, build, and operate large-scale distributed data systems for real-time analytics. Lead the architecture of the Real-Time Analytics Platform, focusing on scalability and performance. Own critical platform capabilities from architecture to production operations.
Priority Technology Holdings
Lead the design of large-scale data systems and pipelines across multiple domains. Define architecture patterns and engineering standards for data ingestion, transformation, and delivery. Collaborate with various teams to translate complex requirements into technical solutions.
10,000,000+ more jobs available!