Senior Data Engineer (US Remote)

About This Role

As DataKitchen’s customer base continues to expand, we are continually looking to add Senior Data Engineering talent to make our customers wildly successful. We are looking for multiple Senior Data Engineers or Customer Success professionals to join an exciting, growing company delivering a cloud-based DataOps Solution!

Day to Day

  • Develop and maintain data pipelines utilizing our DataOps software
  • Write Amazon Redshift SQL and leverage other AWS products such as S3, Lambda, Spectrum, and Glacier to transform raw data into analytic assets
  • Run with open-ended requirements to mockup features for clients, iterating and improving design and code
  • Communicate directly with customers; maintain transparency through Jira ticketing and Confluence documentation
  • Work in an agile working environment: weekly sprints, daily scrums


  • 5+ years of hands-on data engineering experience or relevant graduate coursework
  • MS in a quantitative field (Computer Science, preferred)
  • Deep understanding of database design, warehousing, normalization, and star schemas
  • Experience with cloud database architecture (AWS, Snowflake, Google Cloud)
  • Solid experience with at least one object-oriented programming language, preferably Python
  • Strength communicating technical details, at both a high level and very detailed
  • Knowledge of Commercial Pharmaceutical / Life Sciences data sets (NPP, DDD, Xponent, Plantrak, SPP, Symphony, IQVIA)

You must be physically based within the U.S. and willing to work Eastern Standard Time (EST) hours.

Why You Should Work at DataKitchen

DataKitchen is leading the DataOps movement, making it possible for enterprise data teams to turn data into true business value. We were honored as Gartner’s 2019 Cool Vendor, a CRN Big Data “Start-Up to Watch” in 2020, and OnCon’s 2021 Data & Analytics Vendor of the Year. Our company is profitable, rapidly growing and stock will be part of the package.

DataKitchen has a culture of trust and transparency. As a Senior Data Engineer at DataKitchen, you will own and take responsibility for the work you do. We pride ourselves on being collaborative amongst the team and with our customers. We are always asking “Is there a better way we can do this?”, refactoring and building on what we have done as a team.

DataKitchen Values

We make our customers wildly successful while respecting each person we work with. We move fast, love and learn from our errors, and fall forward. We embrace Agile Values and Principles.



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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 and other amenities (if you are local and when we are back in the office). DataKitchen is profitable and self-funded.

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.

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