Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Data Engineer - Python
Job
AM Best Company
Remote
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
83
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Benefits Summary Flexible and hybrid work arrangements Paid time off/Paid company holidays Medical plan options/prescription drug plan Dental plan/vision plan options Flexible spending and health savings accounts 401(k) retirement savings plan with a Roth savings option and company matching contributions Educational assistance program Overview The Data Engineer is responsible for designing, building, and optimizing scalable data solutions to support a wide range of business needs. This role requires a strong ability to work both independently and collaboratively in a fast-paced, agile environment. The ideal candidate will engage with cross-functional teams to gather data requirements, propose enhancements to existing data pipelines and structures, and ensure the reliability and efficiency of data processes. Responsibilities
- Focus on continued build out/improvement of the current data stores (Oracle, CEPH, and possibly MongoDB) including data access and persistence
- Requirement of prior knowledge/experience with database concepts such as SQL tuning, indexes, views, stored procedures, etc
- Proficient in fundamental algorithms and data structures. Server-side Python processes utilizing concurrency patterns with asyncio, mutli-processing, and threading. Also, comfortable working with Numpy, Pandas, Python collections, etc
- Must handle API development using REST. Strong working knowledge of FastAPI, with a primary focus on mastering the REST protocol. Experience with gRPC and socket-based communication is a valuable plus
- Mastery of typical software development life cycle and deployment processes. Experience with GIT, MS Azure DevOps, Artifactory, etc. Must be comfortable building CI/CD pipelines
- Experienced in developing applications and managing systems on Red Hat Enterprise Linux (RHEL) environments Qualifications
- Associate's Degree preferred with 5 to 7 years demonstrated server-side development proficiency
- Bachelor's Degree preferred with 3 to 5 years demonstrated server-side development proficiency Skills
Programming Languages:
Python (NumPy, Pandas, Oracle PL/SQL). Other non-interpreted languages like Java, C++, Rust, etc. are a plus. Must be proficient in the intermediate-advanced level of the language (concurrency, memory management, etc.)- Design patterns: typical GOF patterns (Factory, Facade, Singleton, etc.)
- Data structures: maps, lists, arrays, etc
SCM:
solid Git proficiency, MS Azure DevOps (CI/CD)SQL:
proficiency with Oracle indexes, SQL tuning, views, stored procedures, and functionsOS:
majority of the development is on Redhat Linux but should be comfortable with Windows. Some Unix shell scripting may be needed from time to time- API development: must have proficiency with
HTTP REST
with gRPC / sockets as a plus- Comfortable working iteratively in a dynamic, flexible environment
- Strong self-management skills and with a focus on timely completion of tasks
- Ability to converse with technical and non-technical groups