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The Data Engineer develops, implements and documents data systems that provide the technical solutions to meet specifications and business requirements defined by company objectives to promote effective, efficient, and compliant operations. Experience with Azure preferrable. Experience with relational SQL and NoSQL databases; experience with SQL Server, Azure, Oracle, and/or MongoDB preferred.
**Hybird or Remote position with expectation of Eastern Time Zone Hours.
Responsibilities: Work as part of a project team to define and document data and data pipelines for a variety of solutions.
Technical responsibility for data and data pipelines to ensure compliance with data standards, architectural standards, and achievement of documented requirements.
Develop and maintain current state documentation and deliverables for data solutions.
Maintain existing and new data solutions to ensure that they continue to meet user needs.
Provide assistance to operational teams to ensure continuity of service.
Work with the Data Engineering community of practice to identify and implement continuous improvement opportunities.
Must have excellent analytical and problem solving skills
Performs other duties as assigned
Possesses solid working knowledge of subject matter.
May provide leadership, coaching, and/or mentoring to a subordinate group.
Ability to manage tasks independently and take ownership of responsibilities
Performs work under minimal supervision.
Demonstrated organizational, analytical and interpersonal skills
Must work and interact effectively and professionally with and for others throughout various levels of the global organization
Must have effective communication skills and ability to work in a collaborative and independent work situations and environments with minimal supervision
Ability to remain calm and receptive in fast paced situations
Ability to manage tasks independently; take ownership of responsibilities
Bachelors Degree in Computer Science or other related degree; or experience of such kind and amount as to provide a comparable background.
Experience with relational SQL and NoSQL databases; experience with SQL Server, Oracle, and/or MongoDB preferred.
Preferrable 4-6 years of experience as Data Engineer
Experience building data transformations, data structures, and data pipelines.
Experience with data integration tools.
Experience with object-oriented/object function scripting languages.
Demonstrated organizational, analytical and interpersonal skills
Ability to manage tasks independently; take ownership of responsibilities
Physical Requirements:
Works under general office environment conditions
Sitting for extended periods, utilizes close visual acuity for working with computers, equipment, etc.
Must be able to perform the essential functions of the job, subject to reasonable accommodation requirements under the ADA
Requires occasional early morning or late evening teleconferences
International and domestic travel as required
**For this position, qualified candidates must be legally authorized to be employed in the United States. Cook does not intend to provide sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position.
Full Time
$86k-109k (estimate)
03/23/2024
04/11/2024
cooksf.com
OAKLAND, CA
25 - 50
2006
Private
NONA LIM
$10M - $50M
Wholesale
Cook! makes gluten-free eating tasty, easy, and healthy and also offer gluten-free meals delivery and dairy-free entrees.
The following is the career advancement route for Data Engineer 2 positions, which can be used as a reference in future career path planning. As a Data Engineer 2, it can be promoted into senior positions as a Database Engineer III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer 2. You can explore the career advancement for a Data Engineer 2 below and select your interested title to get hiring information.