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Data Engineer I (R-14521)

Remote - United States

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Dun & Bradstreet

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Why We Work at Dun & Bradstreet
Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!

The Data Engineer I will work with the senior data engineers to build and maintain applications that are responsible for the ingestion of data into the Dun and Bradstreet Contact Pipeline.

The Data Engineer I will work on analyzing performance/throughput blockers of the applications and will work with other team members to remove the bottlenecks in the applications.

The Data Engineer I will also work with creating metrics from the ingestion applications to help determine the areas that need work in terms of performance and/or throughput.

Responsibilities:

  • Create and maintain applications in python.
  • Take ownership of existing applications for further development/improvements
  • Work closely with related groups to ensure business continuity
  • Perform analysis on code bases to increase performance.
  • Work as part of the team to code review and test other members’ code changes.
  • Work as a member of one or more agile teams, using lean principles and SCRUM methodology

Requirements:

  • Bachelor’s degree (preferable in computer science, mathematics, data science, or a related field)
  • Experience with Python for application development (2-5 years)
  • Experience with SQL for data analysis and querying (2-5 years)
  • Ability to work independently to deliver critical projects on time
  • Ability to work closely with others to problem solve
  • Experience with hosted environments, AWS, Azure, or other cloud service providers preferred
Benefits We Offer
· Generous paid time off in your first year, increasing with tenure.
· Up to 16 weeks 100% paid parental leave after one year of employment.
· Paid sick time to care for yourself or family members. 
· Education assistance and extensive training resources.
· Do Good Program: Paid volunteer days & donation matching.  
· Competitive 401k & Employee Stock Purchase Plan with company matching. 
· Health & wellness benefits, including discounted Gympass membership rates.
· Medical, dental & vision insurance for you, spouse/partner & dependents.
· Learn more about our benefits: http://bit.ly/41Yyc3d.


Pay Transparency
Dun & Bradstreet is an equal employment opportunity employer and believes in honesty and transparency in the employment hiring process, including pay transparency. Accordingly, listed on this posting is a good faith reasonable estimate of the salary range and other compensation in the job posting, as of the date of this posting.  Actual compensation decisions for base salary and other compensation will be dependent upon a wide range of factors including but not limited to: an individual’s skill sets, experience, qualification, training, education, location, and any other legally permissible factors. Successful applicants will also be eligible for D&B’s generous benefit package, outlined above.

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

Equal Employment Opportunity (EEO): Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law.  View the EEO is the Law poster here and its supplement here. View the pay transparency policy here.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Azure Computer Science Data analysis Mathematics Privacy Python R Scrum SQL

Perks/benefits: 401(k) matching Career development Competitive pay Fitness / gym Flex vacation Health care Insurance Medical leave Parental leave

Regions: Remote/Anywhere North America
Country: United States
Job stats:  17  8  0
Category: Engineering Jobs

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