Senior Data Engineer

4 weeks ago


Indianapolis, United States CSpring Full time
Job DescriptionJob DescriptionDescription:


Title: Senior Data Engineer

Related Titles: Business Intelligence Developer, Data Architect, ETL Developer

Location: Indianapolis, IN

Office Environment: Hybrid

Start Date: Immediate


Come join the CSpring family and be a part of our exciting growth story We're on the lookout for fantastic leaders at every career stage to join our dynamic team. Together, we're all about unlocking potential – whether it's for our clients, colleagues, or the communities we serve. We achieve this through the delivery of cutting-edge, data-driven solutions, advanced technology platforms, and unparalleled expertise.


Our approach centers around being more than just a service provider; we aspire to be genuine partners in success by working as true extension of our clients and following proven yet adaptable processes while embodying our core values each day. These values are the foundation of both our client and employee experiences, and the biggest reason that CSpring has been recognized as a Best Place to Work year over year.

Requirements:
  • Develop ETL pipelines from various data repositories to load into various stages of the data platform
  • Develop data lake and warehouse architectures that support business objectives
  • Integrate platform into the existing enterprise data warehouse and various operational systems
  • Develop administration processes to monitor pipeline performance, resource usage, and failure
  • Address performance and scalability issues in a large-scale data lake environment
  • Provide data platform support and issue resolution

Requirements:

  • Bachelor’s degree in in computer science, software engineering or a closely related field; a master's degree is preferred
  • At least 5 years of experience with solutions such as Azure functions, Synapse Data Warehousing, Data Factory, and Databricks
  • At least 5 years of experience developing batch and/or streaming ETL/ELT processes
  • At least 5 years of experience with data warehouse or data lake concepts
  • Proficiency in at least one programming language, such as Python or R
  • Experience with a BI reporting platform (e.g. Tableau, PowerBI)
  • Excellent communication, analytical and problem-solving skills
  • Strong communication and collaboration skills
  • Excellent ability to work under tight deadlines and remain flexible when faced with shifting priorities
  • Willingness to work in a hybrid work environment; work in our Indianapolis office or at the client location three days per week
  • Must be legally authorized to work in the United States
  • Must not require visa sponsorship

Preferred Qualifications

  • At least 2 years of development experience in a project management or agile operation
  • Bachelor’s degree or equivalent professional experience
  • Certifications related to Microsoft, Snowflake, AWS, Tableau, Google
About CSpring

CSpring is a growing business and IT consulting firm in Indianapolis that's all about data-driven solutions. Our team blends business goals with technology, creating accessible, reliable, and engaging solutions through custom software, integrated platforms, and advanced analytics.


If you're committed, collaborative, consultative, and caring, you'll feel right at home with us. We value teamwork and know that together, we're stronger. Joining CSpring means joining our family – our Ohana. As part of our Ohana, expect clear communication, growth opportunities, and celebrations of success. You'll be informed, recognized, rewarded, and respected.


Being part of CSpring’s Ohana also means building strong relationships. Join us for quarterly updates, monthly outings, community service, learning lunches, and more. We offer a comprehensive compensation and benefits package, including Paid Time Off, Medical/Dental/Vision/Life/Disability insurance from day one, and a 401(k) with company matching.


Ready to be part of a positive, energetic, and supportive team? Apply now and welcome to CSpring


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