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Data Engineer (Remote)
Ecom IndustriesUnited StatesData Engineer (Remote)Basic Qualifications: A minimum of three years developing and deploying large scale advanced analytics applications into a production environment Minimum of five years, hands-on
Data Engineer - Remote
Georgia IT IncUnited StatesData EngineerJob Location: SFO, CA (Remote) Job Type: Contract Client: Airbnb Rate: Depend on Experience Job Authorization: US Citizen/ GC /EAD (H4/L2/TN) preferred C2c are open only for own corp not
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Lorven TechnologiesUnited StatesRole: Data EngineerLocation: Dallas, TXDuration: 12+ Months ContractJob description: Bachelor's degree in Computer Science, Data Engineering, or a related field 3+ years of experience in data engineer
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The Phia GroupUnited StatesThe Phia Group is a service- oriented organization assisting employee health plans nationwide. We provide our clients with innovative cost-cutting solutions and constantly expanding service offerings.
Remote Data Engineer I
Spartanburg Regional Healthcare SystemUnited StatesJob RequirementsBuild the Foundation for Data Driven Healthcare and Join Us as Our Next Remote Data Engineer I!Location:100% Remote | Applicantsmustreside in one of the following states: AL, AZ, CT, D
Senior Data Engineer (Remote)
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Senior Data Engineer — Remote ETL & Data Solutions
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Data Analytics & Engineering - Data Engineer III
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Data Scientist / Data Engineer
Virtual Vocations IncUnited StatesA company is looking for a Data Scientist / Data Engineer. Key ResponsibilitiesDevelop, validate, and deploy statistical and machine learning models for government supply chain decisions Design and bu
Data Engineer (Remote) - Frisco, TX
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Data Engineer
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Data Engineer
Cayuse HoldingsUnited StatesOverviewJOB TITLE:Data EngineerCAYUSE COMPANY:Cayuse Civil Services, LLCLOCATIONHybrid in Austin, TXSALARY:$108,160.00-$153,920.00EMPLOYEE TYPE:Full-Time Salary ExemptTRAVELNoRELOCATIONNoEmployment in
Data engineer
ECHO IT SOLUTIONS INC .United StatesJob Title: Senior Data Engineer / Sr. Strategy Analyst-CX Location: Texas Plano Years of Experience: 10 - 15 YearsJob Summary: We are seeking a highly skilled Senior Data Engineer with extensive exper
Data Engineer
Spectraforce TechnologiesUnited StatesRole: Data EngineerLocation: Cupertino, CA (Hybrid)Duration: 12 monthsRole OverviewWe are seeking a Data Engineer with strong data pipeline development skills and hands-on experience managing containe
Data Engineer
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Data Engineer
BasetenUnited StatesData EngineerBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, fl
Über
Basic Qualifications: A minimum of three years developing and deploying large scale advanced analytics applications into a production environment Minimum of five years, hands-on experience collaboratively developing code in object-oriented language for a production environment, including: Experience working in Linux environment (bash scripting) SQL (Data Normalization) Python Data Structures (arrays, lists, stacks, queues, trees, dictionaries, etc.) Experience in data mining techniques and methodologies (data prep/modeling, classification, regression, clustering, causal modeling, AI, machine learning, ensemble approaches) Advanced experience in data visualization tools with a strong grasp of effective data modeling and visualization practices Experience rapidly developing proof of concepts and testing new ideas, as well as scale these ideas into production ready models Experience leveraging cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure Preferred Qualifications: Advanced, relevant education, advanced Degree (Masters or PhD) in engineering, mathematics, physics, economics, computer science, statistics, or business analytics Experience with AWS big data services (Kinesis, Glue, EMR, Spectrum etc.) Experience with ETL & analytics tools (AWS, Matillion, Tallend, AtScale, etc.) Experience with data virtualization technologies (Denodo, etc.) Experience with data visualization tools (PowerBI, Tableau, etc.) Experience with Scrum/Agile delivery processes and DevOps concepts (i.e. CI/CD) Experience with data storage technologies (Redshift, S3, Hadoop, Graph, etc.) Experience with cloud Platforms (AWS, Azure, Google) Experience with multiple languages and syntax (Python, SQL, Apache Spark, etc.) Experience with Container based orchestration of big data pipelines
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