Data Engineer

United States

Applications have closed

Silent Eight

Find out how we make financial crime a bad business. Discover AI driven precision in stopping financial crime with our efficient solutions.

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At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place! 

Our Data Engineer role will be focused specifically on Data Warehousing, Data Management, BI and Data Analytics. As part of the Tech Data Engineering team, you will be challenged daily to find innovative solutions to improve the speed and delivery of our information. 

Key Duties: 

  • Design, implement, and support a platform providing secured access to large datasets.
  • Understand the data sources, develop an ETL strategy with these sources, perform data modeling to meet customers’ data needs.
  • Responsible for writing and debugging complex SQL code
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
  • Recognize and adopt best practices in reporting and analysis: data integrity, data security, analysis, validation, and documentation.
  • Monitor, manage and administer the Enterprise Applications Data Warehouse and ensure optimal performance at scale.
  • Feature engineering and advisory related to Proof of Concept solution and production solutions

Location: 100% Remote

Modern Technology Stack: 

  • Work methodology: Scrum
  • Main technologies: Python 3, SQL,
  • Tools used: Flask, Pandas, PySpark, gRPC, Jupyter Notebooks, Docker
  • Build server: Jenkins, GitLab
  • Database: PostgreSQL
  • Code reviews: GitLab
  • Issue tracking tool: Jira
  • Knowledge repository: Confluence, Google Drive
  • Operating system: Linux
  • Freedom to choose tools: Yes

Requirements:

  • Strong experience with data modeling, SQL, writing, debugging and performance tuning.
  • Strong Experience in data engineering, dimensional data modeling, ETL development, and Data Warehousing.
  • Hands-on experience building and supporting Enterprise level Data warehouses by sourcing data from SaaS applications like Workday, Anaplan, Zuora or other ERPs.

Our culture

You will be co-creating our business solutions

We believe that your feedback allows us to create the best solutions as well as adjusted work culture. You will have a real impact on the growth of the company and the product we develop. 

Experienced team

We aren’t your run-of-the-mill tech start-up. At Silent Eight, everyone is a leader in their own field with perspective and experience shared across teams and departments.

Development-centric

Because learning never ends, we empower our employees to invest in themselves. We provide a range of resources such as paid Development Days, in-house training, lunch-and-learns, etc. to make sure our employees are continuing to grow each day.  

Team building events

We know that our success is only possible if we work together as a team. We are a group of passionate individuals united by a common mission. Therefore we like to meet together regularly to connect not just as coworkers, but as human beings, whether it’s at an offsite in Dubai or a weekly “Tea Time” to catch up. 

100% remote work forever

We are not new to working remotely. In fact, we’ve been doing it since 2013 and we know how to make you feel supported, connected, and included. We believe that the freedom to choose where you work from is important to finding the journey that is right for you.

Don’t wait! Join our team today! 

Silent Eight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other classification protected by applicable federal, state or local law.

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

Tags: Classification Confluence Data Analytics Data management Data warehouse Data Warehousing Docker Engineering ETL Feature engineering Flask GitLab Jira Jupyter Linux Pandas PostgreSQL PySpark Python Scrum Security SQL

Perks/benefits: Career development Team events

Region: North America
Country: United States
Job stats:  10  4  0
Category: Engineering Jobs

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