Senior Data Engineer - Remote Within Usa

Senior Data Engineer - Remote Within USA

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Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

We are looking for a Data Engineer with deep knowledge of Big Data technologies and their interactions.

Candidate will have skills in the following:

Languages: Python; Scala; Java or other necessary languages like golang interfacing with APIs.

Database systems: MSSQL; Postgres; MySQL; Vertica; Object stores; S3.

Cloud and big data services: AWS; Spark; Kafka;

The successful candidate will be responsible for: strategic planning; data modelling; systems design; ETL strategies and processes; prototyping and implementation.

This role provides an opportunity for a senior engineer to facilitate data sciences and product supportability engineers to be successful by creatively enabling access to appropriate datasets.

• Must be a US Citizen working within the USA

How you’ll make your mark:

• Create highly complex data pipelines
• Participates in pull-requests/code review process
• Use a language like Python or Golang to consume, parse and load data into a structured environment.
• Collect RAW unstructured data from different sources and channel them into central data bases and structures
• Contribute to on-going design enterprise class resilient data storage and data query infrastructure
• Complies with established development guidelines and standards
• Writes high quality, testable, maintainable code and documentation
• Responsible for custom ETL - Extract, transform and load data. Interact with - and understand – the requirements of multiple groups to create complex solutions and environments which enable business and customer success

About you:

• You have experience working with the following databases and systems: SQL/NOSQL; MSSQL; scality; Postgres; MySQL; Vertica; Object stores; S3; ETL strategies and processes
• Experience building custom ETLs
• You have an interest in expanding your skillsets to Data Science in the future would be a big plus
• You have experience working with the following cloud and big data services: AWS; Spark; Kafka
• You have a degree in Computer Science, Information Systems, or equivalent
• You have 10+ years of commercial data engineering experience
• You have experience working with the following languages: Perl; Python; Scala; Java or other necessary languages such as Golang, interfacing with APIs

What we can offer you:

Extensive benefits, a competitive salary and participation in the shared values and purpose that make Hewlett Packard Enterprise one of the world´s most attractive employers! At HPE, our goal is to provide equal opportunities, flexible work-life balance, and constantly evolving career growth.

If you are looking for challenges in an exciting, supportive and international work environment, then we definitely want to hear from you. Continue the conversation by clicking apply now below, or directly via our Careers Portal at www.hpe.com/careers.

Join us and make your mark!

Find out more about us and follow us on:

https://www.facebook.com/HPECareers

https://twitter.com/HPE_Careers

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

#unitedstates #storage

Job:

Engineering

Job Level:

Master

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

Annual Salary: $140,300.00 - $322,600.00

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.