Senior Data Engineer (Python / AWS)
Job Posting for Senior Data Engineer (Python / AWS) at Jobot
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Job details
Fast growing AI powered Fintech startup / Python AWS & Building Data Pipelines!!
This Jobot Job is hosted by Craig Rosecrans
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary $120,000 - $180,000 per year
A Bit About Us
We are on the hunt for a highly skilled and passionate Senior Data Engineer to join our dynamic technology team. This is a permanent, full-time position where you will have the opportunity to shape the future of Fintech by developing, maintaining and testing our cutting-edge data systems. You will be working with a team of talented engineers and data scientists to design scalable and efficient data pipelines, create data architectures, and ensure all system designs and implementations adhere to the latest data management principles and security standards.
Why join us?
Responsibilities
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Want to learn more about this role and Jobot?
Click our Jobot logo and follow our LinkedIn page!
Job details
Fast growing AI powered Fintech startup / Python AWS & Building Data Pipelines!!
This Jobot Job is hosted by Craig Rosecrans
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary $120,000 - $180,000 per year
A Bit About Us
We are on the hunt for a highly skilled and passionate Senior Data Engineer to join our dynamic technology team. This is a permanent, full-time position where you will have the opportunity to shape the future of Fintech by developing, maintaining and testing our cutting-edge data systems. You will be working with a team of talented engineers and data scientists to design scalable and efficient data pipelines, create data architectures, and ensure all system designs and implementations adhere to the latest data management principles and security standards.
Why join us?
- Competitive Base Salary
- Equity in high-growth start-up (not in lieu of a salary)
- Flexible Hours
- Very generous PTO
- Dental and Vision, FSA, HSA
- Small team, autonomy
- Many more great perks!
Responsibilities
- Design, construct, install, test and maintain highly scalable data management systems.
- Collaborate with data scientists and architects on several projects.
- Develop and maintain scripts and queries to import, clean, transform, and augment data.
- Develop data set processes for data modeling, mining and production.
- Employ an array of technological languages and tools to connect systems together.
- Recommend ways to improve data reliability, efficiency, and quality.
- Collaborate with data architects to visualize data in a manner that is accessible to data scientists and analysts.
- Use AWS cloud services to build services and data stores.
- Ensure all solutions are aligned with the cloud design principles and strategy.
- Work with the team to evaluate new and emerging technologies and developmental methodologies to improve performance and feasibility of future projects.
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- Minimum of 5 years of experience in a Data Engineer role, preferably in a Fintech or startup environment.
- Proven experience with the following or equivalent skillset Python, AWS, AWS Aurora, Dynamo DB, Athena.
- Solid experience in data architecture, data modeling, master data management, data staging, ETL processes, and business intelligence.
- Proficient understanding of distributed computing principles.
- Experience with building stream-processing systems and big data technologies.
- Strong problem-solving skills with an emphasis on product development.
- Excellent written and verbal communication skills.
- Ability to work in a fast-paced environment and manage multiple tasks simultaneously.
- Strong team player with the ability to work independently when required.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Want to learn more about this role and Jobot?
Click our Jobot logo and follow our LinkedIn page!
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