Design and engineer digital data solutions using GCP and Python technologies. Collaborate within a global team to deliver high-quality data engineering projects for enterprise clients.
Remote Data Engineering Jobs (1,307)
Tags = data-engineering
The Resident Solution Architect will lead and deliver end-to-end Databricks implementations for enterprise clients across regulated industries. They will serve as a technical authority, guiding teams through complex data platform builds and advising on best practices for data engineering and MLOps.
The Data Engineer will design, build, and manage scalable data pipelines while delivering impactful business and data analytics. They will partner with cross-functional teams to optimize data infrastructure and automate manual processes to support critical operational outcomes.
Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse platform using Apache Spark and Delta Lake. Collaborate with cross-functional teams to develop optimized data workflows and ensure high-quality, secure data solutions.
The Senior Analytics Engineer will own the Silver and Gold layers of the data warehouse architecture, building and governing the semantic layer to ensure consistent metrics. They will also lead BI tooling strategy, optimize warehouse performance, and partner with stakeholders to translate business questions into trustworthy data products.
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The Marketing Operations Manager will own reporting and analytics across marketing systems while leading campaign operations for the demand generation team. They will manage the marketing tech stack, build dashboards, and oversee agency partners to ensure data-driven campaign execution.
The Insights & Analytics Strategist will operationalize customer data to drive actionable business insights and bridge the gap between technical data foundations and agency team decision-making. You will build repeatable analytical pipelines and collaborate with cross-functional teams to influence client outcomes and account health.
The Director of Data and Analytics is responsible for leading data engineering and analytics teams to ensure high-quality, consistent, and scalable data delivery. They define the operating model, establish technical standards, and collaborate with leadership to align data strategy with business objectives.
The Customer Experience Data Analyst manages customer interaction data and reporting to improve operational efficiency and service quality. They leverage AI tools and predictive modeling to optimize onboarding workflows and provide actionable insights for business decision-making.
Design, build, and deploy LLM-powered agents within the Databricks ecosystem to automate decision-making across business domains like A/B testing and marketing. You will also define best practices for agent architecture, prompt engineering, and evaluation frameworks to ensure production-grade reliability.
The Product Analyst will monitor KPIs, perform cohort and funnel analyses, and define product requirements in collaboration with the Project Manager. They will also coordinate with data engineering and BI teams to optimize reporting tools and analyze the impact of product and marketing strategies.
The Business Intelligence Manager will define the product measurement strategy and establish key indicators for product health and user engagement. They will also design and develop BI dashboards while partnering with cross-functional teams to provide actionable insights.
The Principal Data Engineer will lead the design and evolution of a next-generation data platform, owning the architecture from data modeling to production delivery. They will drive technical implementations, mentor the engineering team, and establish durable patterns for data governance, observability, and AI-first development.
AWS Certified AI Practitioner (Remote)
Koniag Government Services, LLC
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Full Time
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4 Days Ago
Koniag Government Services, LLC
The AWS Certified AI Practitioner will design, implement, and optimize AI and machine learning solutions to enhance IT call center operations. They will collaborate with cross-functional teams to integrate AWS AI services and ensure compliance with federal security standards.
Data Scientist (Remote)
Koniag Government Services, LLC
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Full Time
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4 Days Ago
Koniag Government Services, LLC
The Data Scientist will design, develop, and implement advanced machine learning and predictive analytics solutions to optimize IT Call Center performance. They will collaborate with cross-functional teams to translate complex data into actionable insights and maintain robust MLOps pipelines in a cloud-native environment.
Lead a team of software engineers in designing and building modern, scalable web applications while driving technical architecture and best practices. You will contribute hands-on to development, conduct code reviews, and collaborate with cross-functional teams to deliver high-quality software solutions.
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The Data Engineer III designs, builds, and maintains robust data pipelines and architectures to support data-driven decision-making. They collaborate with cross-functional teams to ensure clean, reliable data is available for analytics while enforcing data governance and security standards.
Data Reporting & Analytics Developer
STRATEGIC MINDZ LLC
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Full Time
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4 Days Ago
STRATEGIC MINDZ LLC
You will design, build, and maintain the reporting layer, data pipelines, and analytics products to support program operations and decision-making. This involves collaborating with stakeholders to translate requirements into technical specifications and ensuring the accuracy of state and federal compliance reports.
Manage and mentor a global team of data engineers and scientists while fostering a culture of technical evangelism. Oversee resource allocation, project delivery processes, and cross-functional collaboration to drive business growth and operational efficiency.
You will design and scale robust data architectures while owning end-to-end data pipelines to ensure data trustworthiness. Additionally, you will lead architectural decisions and build production-grade data services to support Finance and Operations teams.
You will architect, build, and deploy high-performance AI/ML platforms while partnering with stakeholders to translate business goals into production-grade solutions. Additionally, you will lead model development, mentor junior engineers, and drive operational excellence through CI/CD and infrastructure automation.
Lead the design and evolution of platforms, workflows, and governance practices to enable reliable machine learning systems at scale. Collaborate with data science and engineering teams to standardize ML tooling, improve infrastructure automation, and ensure model lifecycle efficiency.
The Senior Data Engineer will own the technical design, implementation, and operational support of a greenfield data platform using Python, Kubernetes, and AWS. They will lead complex platform initiatives and modernize legacy data systems while ensuring scalability, reliability, and performance.
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The Senior Business Intelligence Analyst will design and implement enterprise-grade Power BI solutions and modernize the FP&A function through automation and data integration. They will serve as a strategic partner to business leaders, translating complex financial and operational data into actionable insights.
You will develop and maintain features for a full-stack data self-service application using React and Python. Additionally, you will collaborate with senior engineers to modernize data ingestion, monitoring, and observability processes.
You will architect and deploy high-performance AI/ML platforms while setting technical standards and mentoring junior engineers. Additionally, you will partner with stakeholders to translate complex business challenges into production-grade AI solutions.
The Senior Manager will lead and grow a team of data engineers to build and maintain scalable data platforms, ingestion pipelines, and self-serve analytics substrates. They are responsible for ensuring data quality, optimizing platform cost and efficiency, and fostering a culture of technical excellence and cross-functional collaboration.
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