The Analytics Engineer will build the next generation of “big data” tools for Disney Parks, Experiences and Products translating a digital Guest experience into a magical real world Guest experience. This role will work within a business-oriented DevOps culture and Agile environment, which seeks continuous improvement for big data analytics and business intelligence. More than a simple data plumber, the Analytics Engineer will be expected to investigate and implement innovation with tools like Pandas, Kafka, and SciPy to guide Analysts towards real-time insights. The Analytics Engineer reports up to the Manager, Data Services and does not have direct reports. Responsibilities: Develop data automation, accurately identify root cause of issues, supply quick defect fixes, and deploy solutions that match customer’s requests Regularly document changes and proactively updates progress in the request system Make suggestions on new approaches to drive adoption, efficiency, quality, or reliability Communicate effectively with technical and non-technical teams, in support of DPEP partners Follow corporate policies and laws regarding software development, data privacy and security (PCI, SOX, GDPR, etc) Independently learn new engineering practices to keep current with latest technology Basic Qualifications: Strong problem solving and analysis skills Excellent written and verbal communications skills Experience in a big data environment (AWS Redshift, Google BigQuery, or Hadoop Hive/Impala) Experience with Java, Python, or R Experience with one or more DevOps tools such as Kubernetes, Jenkins, Maven, GitHub, Docker Experience with scripting in bash shell, PowerShell, Perl, or PHP Experience writing and editing SQL Understanding of Hadoop Ecosystem, MapReduce, Sqoop, and Data Partitioning Understanding of SDLC, Continuous Integration, QA and Agile Methodologies Understanding of JSON, XML, RESTful and SOAP services Preferred Qualifications: Experience with Cloudera Hadoop Strong understanding of NoSQL datastores and their applicable use cases Experience with ML frameworks such as TensorFlow, SparkMLlib, Apache Mahout, PySpark, Torch, Caffe, H2o, etc Required Education: Bachelors Degree in technology field (Computer Science, Engineer, etc.) Preferred Education: Masters Degree in technology field (Computer Science, Engineer, etc.)

The JetBlue Travel Products Data Analyst reports directly to the GM of Data Engineering and is responsible for interpreting data and analyzing results using advanced techniques, running live experiments and presenting findings to stakeholders. The Data Analyst will be working with public and private datasets of different data types. They will also filter and clean the data, identify and analyze trends along with working with data engineers and scientists to ensure identified trends are implemented to enable JetBlue Travel Products to become a digital disruptor. The Data Analyst can change priorities and focus to meet business demands, excels when working on complex projects, is motivated to deliver results, and exhibits the JetBlue values of Safety, Caring, Integrity, Fun, and Passion. Essential Responsibilities Build and prototype analysis pipelines in order to provide insights at scale. Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. Develop comprehensive understanding of data structures and metrics, advocating for changes that will improve product adoption and customer conversion. Run live experiments that drive key product decisions. Work with data engineers to embed the research into production pipelines. Partner with product management and marketing teams to identify opportunities, envision and design technology products. Assist with creating the data infrastructure and analytics environments. Participate in the DevOps practice as it pertains to data team. Partner with JetBlue Tech Ventures to identify, monitor, learn, experiment and share information about emerging technology that is relevant to JetBlue Travel Products. Other duties as assigned. Minimum Experience and Qualifications Bachelor’s Degree in Computer Science or related technical field or equivalent practical experience with demonstrated capability to perform job responsibilities through four (4) previous years of experience and education. One (1) years’ experience in an Analyst role. Good understanding of software engineering environments and standards. Experience managing Service Level Agreements (SLA’s) Interacting daily with people at different levels within the organization, including developing and maintaining ongoing relationships. Pass a ten (10) year background check and pre-employment drug test. Legally eligible to work in the country in which the position is located. Proficient in Python with numpy, pandas. Proficient with Jupyter notebooks, Datalab notebooks. Proficient in linear algebra and statistics. Familiar with DataStudio, Looker, Tableau. Familiar with basic SQL for structured and unstructured data. Familiar with cloud technologies, SAAS, IAAS. Familiar with ML concepts. Preferred Experience and Qualifications Maintaining a public profile and building relationships throughout the organization. Three (3) years’ experience in technology roles. Experience in writing software in one or more languages such as Java, Python, Go and/or JavaScript. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and Google Cloud Platform. Crewmember Expectations: Regular attendance and punctuality. Potential need to work flexible hours and be available to respond on short-notice. Well-groomed and able to maintain a professional appearance. When working or traveling on JetBlue flights, and if time permits, all capable crewmembers are asked to assist with light cleaning of the aircraft. Organizational fit for the JetBlue culture, that is, exhibit the JetBlue values of Safety, Caring, Integrity, Passion, and Fun. Equipment: Computer and other office equipment. Physical Effort: Generally not required, or up to 10 pounds occasionally, 0 pounds frequently. (Sedentary) Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the crewmember(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position Expectations may be subject to change as the needs of the organization change. JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The successful Candidate for this role will become part of the Center of Excellence for Process Automation in Personal Investing at Fidelity. We provide end-to-end architectural strategies and spearhead innovative solutions for our customers. This includes a very large realm of activities, including but not limited to:  influencing product strategy, developing scalable solutions, partnering with squads in launching valuable and clear solutions to our customers. As a Data Engineer you will utilize your expertise to have an end-to-end vision, and to see how a logical design will translate into one or more physical databases, and how the data will flow through the successive stages involved. You have a passion for delivering solutions in a client obsessed environment that will give you opportunities to grow multi-dimensionally. The Expertise We’re Looking For Bachelor’s degree in Computer Science or similar discipline. 5+ years’ experience in Large Big Data Development and Deployment Automation in Private/Public cloud preferably on AWS Understanding principles, best practices and trade-offs of schema design for both Relational and NoSQL database systems Good Understanding of Big Data NoSQL databases/technologies (DynamoDB, Hive, Spark, MongoDB) Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) Extensive Experience Programming in Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills Define structure, integrate, govern, store, describe, model, and maintain data in the enterprise for accuracy and usage maintaining current state Support policies and procedures enforced by the data governance committee to ensure best practices of data architecture including accountability, governance, and requirements Document data inventory and data flow diagrams to determine what can be measured, when and how Experience building Data Ingestion on the cloud (using tools like Glue, Apache Sqoop or other vendor products like Talend or StreamSets) The Purpose of Your Role Determine database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems; Develop database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications. Maintain database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.  The Skills You Bring Your expertise in languages such as Python, Ruby, Go, JavaScript and Java, as well as strong Unix shell skills Your Big Data Skills with popular stacks like Hadoop and Spark Your knowledge of AWS CloudFormation, OpenStack HEAT templates and Terraform Your expertise in all phases of data modeling, from conceptualization to database optimization. Your ability to map the systems and interfaces used to manage data, sets standards for data management, analyzes current state and conceives desired future state, and conceives projects needed to close the gap between current state and future goals Your desire and aptitude for learning new technologies Your excellent verbal and written communication skills The Value You Deliver Build a strategy to re-invent systems and tools to create a continuous cycle of Innovation Create data monitoring models for each product and work with our marketing team to create models ahead of new releases Ability to build data models supporting complex transformation Identifying and ingesting new data sources and performing feature engineering for integration into models How Your Work Impacts the Organization Fidelity Personal Investing Development teams provide direction and implementation to the experiences that enable our Retail customers to be financially successful. Your work, as part of the team, enables functionality developed throughout the firm to reach these customers and create the high-value interactions that will keep them coming back. As part of the team you will be able to impact the speed, efficacy, and scale of the technical solutions that will serve these customers through forward looking architectural designs as well as hands-on implementation. Company Overview At Fidelity, we are focused on making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. Fidelity Investments is an equal opportunity employer.