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Top Data Engineer Jobs in San Luis Obispo, CA

19 Days Ago
Remote
United States
Expert/Leader
Expert/Leader
Software • Analytics • Business Intelligence
Design, implement, and maintain ETL processes, ensuring data accuracy and providing insights for business growth. Collaborate with teams to gather requirements, optimize workflows, and support data operations using various technologies, especially within a Kubernetes environment.
Top Skills: BashGoPythonRubySQL
19 Days Ago
Remote
United States
Senior level
Senior level
Information Technology • Consulting
As a Data Architect, you'll develop datasets for data visualization and machine learning while working with structured and unstructured data. Responsibilities include automating data pipelines, building data ingestion frameworks using Data Bricks and Apache Spark, and collaborating with stakeholders to deliver data products.
Top Skills: PysparkPythonT-Sql
20 Days Ago
Remote
United States
Entry level
Entry level
Information Technology • Consulting
As a Data Architect, you will design and implement analytics solutions for healthcare providers, transforming data into actionable insights and creating scalable data models. You will collaborate closely with customers to decipher complex requirements and ensure successful project deliverables.
Top Skills: C#SQLVb
20 Days Ago
Remote
United States
Junior
Junior
Software
As a Data Engineer at Demyst, you'll collaborate with project managers and clients to design data solutions, perform data analysis, and manage project lifecycles using various data formats and cloud technologies. Your role will involve building scalable code, handling ETL processes, and employing APIs to deliver valuable datasets.
Top Skills: PythonSQL
21 Days Ago
Remote
USA
Senior level
Senior level
Fintech • Payments • Financial Services
The Principal Data Engineer will lead a team responsible for defining, planning, and delivering data engineering solutions while driving the development of modern data platforms. Responsibilities include overseeing data pipeline design, mentoring staff, solving complex development problems, and documenting best practices.
Top Skills: PythonSQL
21 Days Ago
Remote
United States
50K-150K Annually
Senior level
50K-150K Annually
Senior level
Big Data • Analytics • Hospitality
The Senior Data Engineer at Kalibri Labs will design, develop, and deploy scalable data pipelines. Responsibilities include mentoring other data engineers, optimizing data processes, and collaborating with cross-functional teams. The role requires managing data availability and integrity while implementing automated testing and maintaining integration pipelines.
Top Skills: PythonScalaSQL
21 Days Ago
Remote
United States
150K-180K Annually
Senior level
150K-180K Annually
Senior level
Edtech • Fintech • Healthtech • Information Technology • Software • Consulting
Leading and collaborating on the engineering design, development, and deployment of features and projects. Responsible for writing clean, reusable code, improving code structure for maintainability, and solving problems in collaboration with colleagues and clients.
Top Skills: PythonSQL
22 Days Ago
Remote
United States
145K-175K Annually
Senior level
145K-175K Annually
Senior level
Information Technology • Software • Analytics
The Senior Data Engineer will build and maintain ETL pipelines, develop entity resolution processes, implement risk calculation logic, collaborate with product teams to refine requirements, and oversee regular data releases in Sayari's data team.
Top Skills: PythonScala
22 Days Ago
Remote
USA
Senior level
Senior level
Software
As a Senior Applied AI Scientist at Speechify, you will mentor engineers, conduct research, and implement advanced NLP and TTS methods. Your role involves managing projects and staying updated on state-of-the-art technologies to enhance team capabilities. You'll be part of a fast-growing team focused on transforming audio information access.
Top Skills: Python
22 Days Ago
Remote
US
Entry level
Entry level
Information Technology
As a member of the Data Ops team, you will process investment data from venture capital firms, analyze financial statements, assist in onboarding new customers, ensure data accuracy, and collaborate with various departments to streamline data workflows.
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