- Builds / oversees platforms and systems to manage and store data from internal and external sources by leveraging both distributed and local structures
- Establishes processes / structures based on business and technical requirements to channel data from multiple inputs and route appropriately using data structures available
- Develops tools to facilitate data integration, analytics, data cleaning / transformation, and the deployment of ML/AI models
- Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements
- Graduate degree in Data Science, Computer Science or a related field
- 5 years of Data Engineering experience
- Working knowledge in SQL-based technologies (e.g PostgreSQL, MySQL) and NoSQL technologies (e.g. MongoDB)
- Working knowledge in machine learning techniques and algorithms (-NN, Naive Bayes, SVM, Decision Forests, etc.)
- Proficient in software development with a focus in data / data systems (Java), databases (SQL, Postgres, Mongo) and development technologies (GIT, JIRA)
- Possesses knowledge of data pipelining, data integration, data warehouses, and databases
- Understanding of relational and warehousing database technology working with at least one of the major databases platforms (e.g., Oracle, SQLServer, Teradata, MySQL, or Postgres)
- Practical experience with big data processing frameworks and techniques such as HDFS, MapReduce, Storage formats (Avro, Parquet), Stream processing, etc.
- Solid working knowledge of data processing tools using SQL, Spark, Python or similar open source and commercial technologies
- Knowledge of non-relational (Cassandra, MongoDB) databases preferred
- Predictive analytics and machine learning experience (scikit-learn, Tensorflow, MLlib, recommendation systems) preferred
- Experience with integrating to back-end/legacy environments
- Knowledge and familiarity with machine learning models application and production pipelines
- Savvy problem solving instincts and abilities with attention to detail
- Comfortable in fast-paced and dynamic environments
- Ability to work efficiently as part of a collaborative team
- Applied Machine Learning Engineer
- Focuses on building pipelines and capabilities needed to utilize machine learning models
- Productionizes machine learning models
- Paid Time Off
- Complimentary Park Tickets and Passes
- Park Discounts on Food and Merchandise
- Medical, Dental, and Vision Insurance
- 401K Retirement plan
- Voluntary Insurance
- Life Insurance
- Disability Benefits
- Tuition Reimbursement
- Dependent and Health Care Flexible Spending Accounts
- Employee Assistance Program
- Legal Assistance Plan
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Data Engineering Manager
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Snowflake Data Engineer
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Sr. Data Engineer
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Senior Data Engineer
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Hays Recruitment Kennedy Space Center, United StatesHays Investor · Work for Hays · About Us · Find Us · US EN · For Job Seekers · For Organizations · Australia · Austria · Belgium · Brazil · Canada · Chile · China · Colombia · Czech Republic · Denmark · France · Germany · Hong Kong SAR · Hungary · Italy · Ja ...
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Engineering Technical Integrator II
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Senior Systems Engineer
1 week ago
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Guidance Navigation and Control Engineer
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System Engineer
3 weeks ago
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Master Console Operator
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Chef De Cuisine
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Sustainment Engineer
2 weeks ago
Lockheed Martin Corporation Kennedy Space Center, United StatesWe are Lockheed Martin. It takes more than steel, advanced electronics and engine thrust to make the F-35 Lightning II, the world's fifth generation fighter, take flight. It is the Autonomic Logistics Information System (ALIS)/ Operational Data Integ Engineer, Technology · ...
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Manufacturing Engineer
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Manufacturing Engineer
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Process Engineer Intern or Co-op
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Senior System Engineer
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Product Manager
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Technical Sales Consultant
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Engineer II, Information Systems
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Manager - Configuration Management
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Machinist
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Data Engineer - Kennedy Space Center, United States - SeaWorld Parks & Entertainment
Description
SeaWorld is a world-renowned leader in the themed-park and entertainment industry. Our success is built on a passion for caring for animals and a dedication to delivering positive, memorable experiences to people from around the world. Were also committed to helping ambitious people achieve their professional best. We're always seeking exceptionally skilled and knowledgeable individuals to join our team.
Whatyou get to do:
The Data Engineer builds platforms and systems to manage, store, and transfer data leveraging a wide range of systems.
SEAWORLD PARKS & ENTERTAINMENT IS AN EQUAL OPPORTUNITY EMPLOYER. ALL APPLICANTS WILL BE CONSIDERED WITHOUT REGARD TO AGE, RACE, COLOR, RELIGION, SEX, NATIONAL ORIGIN, SEXUAL ORIENTATION, PREGNANCY, GENDER IDENTITY OR EXPRESSION, DISABILITY OR COVERED VETERAN STATUS.