This role involves defining and scaling the modern data and analytics platform architecture, ensuring it is secure, scalable, governed, and optimized for performance and cost using AWS as the core environment. The Director will establish foundational architectural frameworks, technology standards, and best practices to enable analytics, AI, and domain-driven data products across the enterprise.
Remote Data Engineering Jobs (275)
Tags = data-engineering
You will lead and grow a high performing data engineering team while contributing directly to the design and implementation of core data platforms and pipelines. You will ensure systems are reliable, efficient, and ready to scale while collaborating with various teams to deliver impactful capabilities.
As a Customer Journey Analytics Developer, you will design, implement, and optimize customer journey measurement solutions across digital touchpoints. You will collaborate with various teams to capture customer behavior and enable data-driven decision making.
You will design, build, and operate cloud-native infrastructure and platform tooling that accelerates AI development across the company. This includes establishing repeatable patterns and shared services that reduce friction for teams building AI-enabled applications.
Interns work on real production tasks under senior review, developing and maintaining analytical data models and contributing to data quality checks. They are expected to help build and maintain data products used by business and engineering teams.
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As an Applied Scientist, you will research, design, and deploy innovative machine learning models that enhance Zillow’s home-shopping experience. You will lead the full model lifecycle, from ideation to online deployment and performance monitoring.
The Senior Director of AI Insights will define the vision and roadmap for leveraging AI-driven insights to meet organizational objectives, identifying opportunities where AI can enhance decision-making and create competitive advantage. This role involves partnering with executive leadership and cross-functional teams to embed AI insights into strategy while ensuring scalable data infrastructure and driving organizational adoption through education and advocacy.
The Senior Data Engineer will be pivotal in building a robust data platform using Databricks to support skilled data professionals analyzing and improving a highly visible online product. Responsibilities include architecting and building scalable data platforms in AWS and Databricks, designing data pipelines, and optimizing infrastructure.
The Senior Data Engineer will architect and implement scalable data platforms and advanced RAG pipelines from the ground up to power proprietary AI systems. This involves building data and analytics platforms, designing data stores/warehouses, and visualizing data with dashboarding solutions.
Sr Software Engineer, Data & AI Platform
Dolby Laboratories, Inc.
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Full Time
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18 Weeks Ago
Dolby Laboratories, Inc.
Design and implement core platform services exposed through high-quality APIs and SDKs for a unified data and AI/ML model development platform. Partner closely with AI/ML researchers, data engineers, and product teams to deliver a paved-path developer experience.
The AWS Engineer will design, build, and maintain scalable data pipelines and analytics platforms on AWS. This includes transforming raw data into analytics-ready datasets and ensuring data quality and compliance.
As a Staff Data Scientist, you will lead the experimentation roadmap and design complex A/B tests to drive actionable insights. You will also mentor junior analysts and ensure alignment between data insights and business decisions.
As a Senior Data Analyst, you will proactively use data to identify opportunities for business growth and process improvement. You will collaborate with Sales & Operation leaders to answer critical business questions through rigorous analyses.
The Data Analyst will be responsible for designing and owning business-critical metrics, building clean, reusable SQL models that serve as the source of truth, and partnering with stakeholders to deliver clear analytical insights. This role also involves creating self-serve datasets and improving overall data reliability through monitoring and checks.
As an AI Data Engineer, you will design and build modern data pipelines and AI-ready data platforms using Snowflake and AWS services. Your work will enable advanced analytics and AI-driven automation across enterprise environments.
Design, build, and maintain scalable data pipelines that support analytics and reporting. Collaborate with cross-functional teams to define data requirements and deliver actionable insights.
The Staff Data Engineer is responsible for designing and evolving core components of onX’s lakehouse and data platform, focusing on data structure, governance, and security. They lead complex initiatives and provide technical guidance and mentorship to other engineers.
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The Senior Data Engineer will architect and maintain data systems that support analytics, AI, and operational decision-making. Responsibilities include designing scalable data architecture, developing efficient data pipelines, and ensuring data governance and security.
![Smart Working Solutions is hiring for remote Senior Data Engineer (Remote, Full-Time) [IS001]](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
Senior Data Engineer (Remote, Full-Time) [IS001]
Smart Working Solutions
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Full Time
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19 Weeks Ago
Smart Working Solutions
The Senior Data Engineer will lead the design and implementation of scalable ETL pipelines and data lakes in AWS, collaborating with various teams to integrate data solutions into analytics platforms. They will also ensure strong data governance and automate workflows for data quality and reliability.
The Sr. Solutions Engineer will be a technical expert on Selector’s operational analytics solution and will take a hands-on role in integrating the product to meet customer requirements. They will also collaborate with the sales team for pre-sales activities and lead the deployment of the solution.
Test Automation Engineer – AI Network & Observability Platform
Selector Software
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Full Time
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19 Weeks Ago
Selector Software
Design, develop, and maintain automated test frameworks for network observability solutions. Collaborate with various teams to improve test coverage and enhance product quality.
The Sales Account Director will collaborate with sales engineering and solutions teams for pre-sales activities and provide business support for ongoing PoVs. They will also help execute sales goals and capture new customer requirements to communicate to engineering.
The Data Architecture Lead will be responsible for shaping the enterprise data foundation by translating architecture standards into domain-aligned designs, defining consistent data structures, and partnering with engineering and analytics teams for implementation and adoption. This role enables trusted data products, analytics, operational reporting, and future AI use cases through modern data architecture practices.
The Sr Data Analyst will support high-impact analytics initiatives and partner with business leaders to deliver actionable insights. They will also develop analytics products and solutions while ensuring analysis quality and driving adoption of data products.
Senior Data Engineer
Orijin, a public benefit corporation
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Full Time
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19 Weeks Ago
Orijin, a public benefit corporation
As a Senior Data Engineer, you will build, scale, and modernize the company’s data platform, focusing on data modeling, pipelines, architecture, reliability, and performance. You will partner with data analysts, engineers, and product managers to ensure high-quality insights and data confidence across the organization.
As a Senior Forward Deployed Data Engineer, you will work directly with media agency customers to solve their data challenges and own the technical delivery of customer implementations. You will design and build custom data pipelines and integrations to connect customer data sources to Akkio's AI platform.
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Responsibilities include presenting and analyzing data using charts, tables, and Excel, alongside interpreting financial reports and market performance to derive investor-focused takeaways. Analysts will also interpret factors like yield, price, and risk for asset merits and conduct deep quantitative risk modeling.
The candidate will be responsible for deploying, configuring, and managing AWS EMR clusters, ensuring optimal performance and scalability. They will also administer various AWS services to support data processing, storage, and security needs.
Lead the delivery of the Data Platform product and technical roadmap while guiding architecture and execution. Manage a team of data and platform engineers to ensure the platform meets customer and partner needs.
The Full Stack Data Scientist will develop robust data pipelines, conduct exploratory data analysis, and design machine learning models. They will also build software solutions for deploying models and collaborate with cross-functional teams.
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