Python Engineer – MarketMuse

MarketMuse Inc.’s M4 Lab is seeking a Senior Python Engineer to help craft the next generations of content analytics and content generation technologies. This role blends production software development, big data processing, natural language processing and data mining. You will work on highly scalable data processing pipelines that feed our NLP systems geared towards understanding the semantics, intent, and topical structure of vast amounts of web content. This role requires deep understanding and experience in architecting and developing data intensive applications. You will have the opportunity to work on a large range of services while building and maintaining your own services — from complex machine learning pipelines to simple APIs that empower our users to experience our technology through a plethora of front-end applications.

Equal opportunity employment

At MarketMuse, we celebrate diversity — we support it and we grow with it for the benefit of our employees, our products, and our community. MarketMuse is proud to be an equal opportunity workplace.

Responsibilities

1. You will be building efficient server-side & serverless applications in Python
2. You will help design and implement reliable distributed data extraction and processing pipelines within AWS
3. You will improve and maintain existing projects with regards to computational functionality and cost efficiency
4. You will gather and resolve requirements for new features from internal colleagues
5. You will create tests for your code and existing code while working on bug fixes
6. You will generate documentation to ensure your coworkers are able to easily traverse your code

Required Skills

1. Proven experience as Python Developer
2. Experience with micro-service architectures
3. Experience with supporting your code with a test-first-mentality
4. Experience with SQL & NoSQL database
5. Experience with devops: docker, linux, CI & CD
6. Experience with the AWS eco system (AWS Lambda, EC2, Cloudwatch, Step functions, EMR, SQS, etc.)
7. Experience with fast prototyping
8. Experience working effectively with software engineering teams
9. Comfort with making decisions without all of the data
10. Mentor others in achieving their career growth potential
11. Required Education and Experience Level
12. 4+ years professional experience with Python
13. 2+ years of professional experience with AWS in production level environments

Preferred But Optional Skills

1. Experience with ElasticSearch
2. Experience with workflow tools like Airflow, Luigi, etc.
3. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume)
4. Experience with analytics or machine learning applications
5. Hands-on experience implementing new research ideas with a neural network training framework such as Tensorflow, Keras, or PyTorch