DataKitchen provides the first DataOps platform for data-driven enterprises, enabling them to support data analytics that can be quickly and robustly adapted to meet evolving requirements. DataKitchen is leading the DataOps movement to incorporate Agile Software Development, DevOps, and manufacturing-based statistical process control into analytics and data management. DataKitchen is for information technology (IT), data warehousing, data science and analytic teams who know that in order to meet the needs of their business, data analytics has to be ten times more nimble and robust than it is today.
Join us to revolutionize the analytic industry with DataOps.
We have openings at DataKitchen, at our Cambridge, MA location. This is an excellent opportunity to be part of an exciting, profitable, stable and growing company on a DataOps mission. To apply, send your resume to email@example.com.
DataKitchen enables analytic teams to deliver value quickly, with high quality, using the tools that they love. DataKitchen provides the world’s first DataOps platform for data-driven enterprises, enabling them to support data analytics that can be quickly and robustly adapted to meet evolving requirements. DataKitchen is leading the DataOps movement to incorporate Agile Software Development, DevOps, and manufacturing based statistical process control into analytics and data management.
Company benefits include health and dental insurance, short and long-term disability insurance, life and AD&D insurance, 401(k) with company match, incentive stock options, open paid time off policy, and the benefits of working at the CIC including a well stocked kitchen.
The DataOps Engineer will plan and execute implementation projects using our DataOps software to make our customers wildly successful. Some projects focus on SQL., Most projects are integration focused and use Python. All projects orchestrate data pipelines, reduce error rates, and deploy code into production (CI/CD). This position requires technical skills, communication skills, attention to detail, follow-up, and the ability to self-manage.
To apply send your resume to firstname.lastname@example.org.
We offer competitive pay, stock options, health and dental insurance, 401(k) with company match, incentive stock options, open time off policy, an experienced team, amazing customers, and a cool office location with a well-stocked kitchen. Visa sponsorship and relocation is available for the right candidate already in the United States. A background check is required.
Equal Employment Opportunity Statement: DataKitchen, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. DataKitchen, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. DataKitchen, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of DataKitchen, Inc. employees to perform their expected job duties is absolutely not tolerated.
Catch DataKitchen at conference near you.
April 14-17, Boston MA (https://odsc.com/boston/)
Visit Us in the Virtual Expo
Attend the session:
DataOps Data Architecture and AI Best Practices, April 14th, 1:20 pm
Orchestrating the Three Pipelines of DataOps, April 22nd; May 13th; June 3rd
DataOps and Analytics: A Recipe for Accelerating Business Value, April 29th, 11AM ET / 8AM PT
Gartner Data & Analytics Summit, September 21-24
Attend the session:
How to Grow a Billion-Dollar Product: A Case Study in DataOps for Celgene
Chicago, IL - October 19-23
Visit us at Booth #600 or attend our talk, “DataOps Data Architecture and AI Best Practices,” TBD
Sit back and learn more about DataKitchen and DataOps with few videos