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Top Data Engineer Jobs in Sacramento, CA
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Data Architect Manager at PwC, you will lead the design and development of robust data solutions, ensuring efficient data processing, integration, and transformation. You will mentor team members, manage project execution, and collaborate with stakeholders to translate business needs into technical solutions while upholding data governance and security standards.
AdTech • Digital Media • News + Entertainment
The Senior Manager, Data Engineering leads a team in overseeing data acquisition, ETL/ELT pipeline development, and database design across The Walt Disney Company's portfolio. Responsibilities include strategic planning, resource management, and collaboration with cross-functional stakeholders, focusing on delivering impactful data solutions and addressing technical challenges.
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
As a Staff Machine Learning Engineer, you will partner with product and marketing teams to build tailored experiences, deploy machine learning models, and enhance personalization across Cash App and Afterpay. You are expected to leverage machine learning algorithms and data analysis to drive growth and engagement.
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eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Lead ML modeling efforts to enhance Square's products, mentor junior engineers, discover ML opportunities, and make strategic decisions on model deployment and maintenance to impact the future of AI at Square.
Top Skills:
AIComputer VisionMachine LearningNatural Language ProcessingScalable Ml Systems
Fintech • Software • Financial Services
The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.
Fintech • Healthtech • Software
The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to improve Cedar’s healthcare platform. Responsibilities include deep data analysis, building pipelines, collaborating with engineering teams, and evaluating model performance to enhance patient experiences.
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Senior Machine Learning Modeler at Block, you will develop scalable machine learning solutions to assess financial crimes risk. You'll collaborate with stakeholders to improve data utilization, maintain production software, and document processes while leading the ML team and staying updated on industry advancements.
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
The Big Data DevOps Lead will enhance Big Data infrastructure efficiency, coordinate inter-team initiatives, and lead architecture efforts. Responsibilities include maintaining system reliability, deploying monitoring tools, and implementing disaster recovery practices. On-call support for production systems is also required.
Top Skills:
AerospikeAnsibleCassandraGrafanaGraphiteHadoopKafkaMariadbMySQLNoSQLPerlPostgresPrometheusPuppetPythonSaltstackScylladbShell ScriptingShowflakeTerraform
Cloud • Security • Software • Cybersecurity
As a Staff Data Engineer at Red Canary, you will design and develop data pipelines to enhance cybersecurity capabilities, optimize data processing workflows, and ensure data integrity and security. Your work involves solving complex data challenges and implementing modern technologies in a collaborative environment to improve the organization’s ability to respond to cyber threats.
Top Skills:
Apache AirflowSparkAthenaAWSDbtDelta LakeDockerEmrGlueHudiIcebergKafkaKubernetesParquetPysparkPythonRedshiftS3ScalaSQL
Cloud • Hardware • Healthtech • Information Technology • Mobile • Other • Infrastructure as a Service (IaaS)
The QA Data Engineer enhances quality and reliability of data-driven applications by developing automated validation tools, implementing data verification tests, and designing QA architecture for data processing. Responsibilities include performance testing on AI systems, creating data monitoring systems, and exploring new technologies to optimize data QA processes.
Top Skills:
Ai ToolsData Validation ToolsData WarehousingETLMachine LearningMS OfficeNoSQLPythonQa FrameworksScalaSQL
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