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Top Data Engineer Jobs in Sacramento, CA

5 Days Ago
Remote
Hybrid
67 Locations
100K-232K Annually
Senior level
100K-232K Annually
Senior level
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.
Reposted 13 Days Ago
Hybrid
Sacramento, CA, USA
Senior level
Senior level
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.
18 Hours Ago
Remote
Hybrid
8 Locations
240K-359K Annually
Senior level
240K-359K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The Staff Machine Learning Engineer will shape the technical vision for credit and underwriting platforms, providing architectural direction while actively coding to solve complex challenges. Responsibilities include mentoring engineers, refining distributed systems, and collaborating with cross-functional teams to enhance feature delivery and engineering excellence.

Featured Jobs

19 Hours Ago
Remote
Hybrid
7 Locations
139K-297K Annually
Senior level
139K-297K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Staff Machine Learning Engineer will build and integrate ML solutions to evaluate customer cash flow risks and optimize automated decisioning pipelines. The role requires collaboration across teams to improve financial services through AI/ML models based on transaction data.
21 Hours Ago
Remote
Hybrid
7 Locations
195K-343K Annually
Mid level
195K-343K Annually
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Staff Machine Learning Engineer will work with product and marketing teams to personalize user experiences, build and deploy machine learning models, and improve growth and engagement through data-driven insights. They will utilize machine learning algorithms and techniques to drive personalization across Cash App and Afterpay.
Reposted 21 Hours Ago
Remote
Hybrid
7 Locations
139K-245K Annually
Mid level
139K-245K Annually
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Machine Learning Engineer will collaborate with product and marketing teams to personalize customer interactions on Cash App, building and deploying machine learning models within the personalization domain. They will manage projects related to recommendations, search retrieval, and cross-selling, aiming to improve user engagement and revenue.
Yesterday
Remote
US
Entry level
Entry level
Cloud • Insurance • Payments • Software • App development • Big Data Analytics
The Bilingual Data Conversion Specialist is responsible for managing data consulting activities associated with client projects, ensuring accuracy in data conversions, and creating key performance indicators. The role involves collaboration across teams to monitor product delivery and enhance data quality standards, while also acting as a subject matter expert in analytics tools.
Top Skills: AmplitudeApplied Epic
2 Days Ago
Remote
Hybrid
8 Locations
195K-343K Annually
Senior level
195K-343K Annually
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
As a Staff Machine Learning Engineer (Modeling) at Square, you will lead the development of advanced ML solutions for value predictions. Responsibilities include building and enhancing ML systems, collaborating with various stakeholders, and staying updated on ML advancements to drive Square's growth.
Top Skills: Data PipelinesMachine LearningNeural NetworksPythonSQLXgboost
Reposted 2 Days Ago
Easy Apply
Remote
USA
Easy Apply
Senior level
Senior level
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
The Senior Data Engineer will build, optimize, and maintain data pipelines, define reusable data sets, design data validation frameworks, and ensure user privacy and security. This role requires a strong understanding of data processing and a modern data stack.
Top Skills: ArgoAWSDbtElasticsearchLookerNatsPostgresPythonSnowflakeStitchTerraform
2 Days Ago
Remote
United States
86K-153K Annually
Senior level
86K-153K Annually
Senior level
Big Data • Transportation • Analytics • Big Data Analytics
As a Senior Data Engineer at Allstate's Arity, you'll design and optimize data and machine learning workflows to enhance telematics solutions, collaborate with teams to support analytics and reporting, and ensure data quality while mentoring junior engineers.
Top Skills: AirflowSparkAthenaAWSBeamBigQueryDataflowDataprocDbtDockerEmrFlinkGCPGlueJavaKafkaKinesisKubernetesNoSQLPrefectPythonPyTorchRedshiftSagemakerScalaScikit-LearnSQLTensorFlowVertex Ai
Reposted 5 Days Ago
Remote
Hybrid
2 Locations
349K Annually
Mid level
349K Annually
Mid level
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.
Reposted 5 Days Ago
Easy Apply
Remote
Hybrid
United States
Easy Apply
Senior level
Senior level
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.
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