697 Big Data jobs available for remote work from home. Apply for positions such as Senior Data & AI Solution Architect, Hadoop Big Data Developer, Senior Engineer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Develop and drive complex business solutions for clients while providing strategic architecture guidance and technical leadership. Collaborate with sales teams to qualify leads, respond to RFPs, and deliver technical demonstrations to senior client executives.
The Hadoop Big Data Developer will design, build, and operate large-scale data processing pipelines and analytics platforms. Responsibilities include ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics and machine learning workloads.
Design, develop, and maintain scalable data processing applications and high-performance ETL pipelines using Python, Scala, and SQL. Collaborate with cross-functional teams to deliver data-driven solutions while ensuring data quality, reliability, and security standards.
Design and maintain scalable data pipelines and cloud-based data solutions using Python, SQL, and AWS. Collaborate with product and business teams to build data ingestion, transformation, and analytics solutions for large-scale datasets.
Design, develop, and optimize high-performance distributed data processing applications using Apache Spark. Collaborate with cross-functional teams to build scalable batch and real-time ETL pipelines for enterprise analytics and machine learning.
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The Senior Solutions Engineer will own the technical sales process, from initial meetings to post-sales support, for enterprise data and AI platform solutions. They will design customer-specific solutions, deliver product demonstrations, and advocate for customer needs to internal product and engineering teams.
The Data Architect will design and manage the enterprise data ecosystem, including Lakehouses and Data Warehouses, to support analytics and business needs. They will collaborate with stakeholders to implement data strategies, optimize orchestration processes, and ensure robust data security and integration protocols.
The Responsible Systems Engineer will lead cross-functional teams to develop system-level technical solutions and architectures for the Missile Defense Agency. They will utilize MBSE to perform functional behavior analysis, manage requirements, and support stakeholder reviews through technical documentation.
The Systems Engineer will perform performance analysis of Missile Defense System test data and produce official test report products. They will collaborate with engineering teams, test organizations, and warfighters to assess system capabilities and characterize behaviors.
Design, develop, and maintain scalable data pipelines and ETL/ELT processes across AWS platforms. Collaborate with business and technical teams to ensure data quality, governance, and compliance with privacy regulations.
You will lead analytics initiatives across media planning and campaign management tools while partnering with cross-functional teams to surface risks and opportunities. Additionally, you will own the end-to-end development of metrics and tools to drive data-informed decisions for Ads Demand.
The role involves defining and socializing data analytic practices while providing strategic guidance on ingestion, integration, and advanced analytics. You will drive the evolution of scalable data platforms and lead the implementation of modern data lake and lake house architectures.
Lead the sales team to drive software and services revenue by managing both inbound and outbound sales processes. Develop strategic sales plans, coach team members, and manage enterprise-level deals from prospecting to closing.
Lead the sales team to drive software and services business growth by managing both inbound and outbound sales processes. Develop and execute strategic sales plans, coach team members, and manage enterprise-level deals from prospecting to closing.
The Digital Enterprise Project Engineer will develop, integrate, and troubleshoot software solutions to improve ground test data infrastructure and facility operations. They will also coordinate engineering deliverables, manage technical project planning, and support containerized application deployments in Kubernetes environments.
The Monitoring and Reporting Analyst is responsible for continuous monitoring, identification, and reporting of cybersecurity vulnerabilities and threats within a 24/7 operations environment. They perform incident response, maintain security playbooks, and conduct audits to ensure compliance with information systems security policies.
The Big Data Engineer will design, build, and operate large-scale data processing pipelines and analytics platforms using the Hadoop ecosystem. They are responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics and machine learning workloads.
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The role involves leading the technical migration of legacy data systems to a Databricks Lakehouse architecture while designing robust ETL/ELT frameworks. The engineer will also act as a technical lead to mentor the team, enforce data governance, and optimize performance for Power BI analytics.
The Associate Data Engineer will design, build, and maintain scalable data pipelines and storage solutions for the Enterprise Individual Mastering Platform. They will collaborate with cross-functional teams to support data analytics and utilize AI tools to streamline workflows and automate tasks.
Develop and maintain data ingestion and transformation processes using Python and advanced SQL. Design robust ETL/ELT pipelines while ensuring data quality and optimizing performance for large datasets.
The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions for clients. They will also define strategic roadmaps, act as a data engineering SME, and provide technical guidance to the engineering team.
The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions while defining strategic roadmaps for clients. They will also serve as a data engineering subject matter expert, providing technical guidance and performing interviews for engineering candidates.
The Principal Data Architect will lead the design and implementation of complex cloud-based data solutions for clients. They will also define strategic roadmaps, act as a data engineering SME, and provide technical guidance to the engineering team.
The analyst will assist the Risk Management division by evaluating contract scopes to recommend appropriate insurance requirements and ensuring compliance with certificates of insurance. They will work closely with county staff and external vendors to facilitate knowledge transfer and manage insurance section activities.
The Sr. Data Engineer will design and implement scalable data processes to enhance the business intelligence platform while collaborating with cross-functional teams. They are responsible for building robust data pipelines, mentoring team members, and ensuring the stability and performance of cloud-based data solutions.
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The analyst will perform advanced data analysis using Python and SQL to support digital marketing campaigns and optimize performance. They will also own end-to-end campaign operations, including audience selection, validation, and the development of automated reporting dashboards.
Design and implement scalable, high-performing data pipelines while optimizing data architecture. Collaborate across teams to support data needs and apply CI/CD practices to streamline development and deployment.
The Regional Business Manager is responsible for driving sales efforts and executing strategies within the construction sector to achieve market share growth. They will manage key accounts, conduct customer needs assessments, and collaborate with engineering teams to provide tailored vocational truck solutions.
The Technical Account Manager acts as a principal technical advisor and voice of the customer to drive the adoption and operational health of AWS services. You will work proactively with internal engineering teams to resolve issues and provide strategic guidance to help customers achieve business value.
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