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Data Engineer (Python)
San Francisco, California
Contract Position
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Applied on September 28, 2020
Job Id #42455 Posted July 17, 2020


We are seeking a Full Stack Software Engineer for Enterprise Platform and Product organization to develop highly scalable and resilient APIs, ETL solutions and 3rd party platform integrations as part of Enterprise Site platform. Consumers will range from stakeholders across our lines of business to customers using our websites.

 

What you will be working on:

• You will build data pipelines to automate high-volume and real-time data analysis processes

• You will work with data APIs and data delivery services that support critical operational and analytical applications

• You will build tools that are used by our internal business operations, customers and partners

• You will continuously integrate and ship code into our cloud Production environments

• You will develop applications using modern technologies such as Airflow, Beam, InfluxDB, Python, DynamoDB/NoSql and other RDS

• You will work directly with Product Owners and customers to deliver data pipeline and analytics and apis in a collaborative and agile environment

• You will be part of support and production deployment for the services owned by team.

 

Who you are:

· You yearn to be part of cutting edge, high profile projects and are motivated by delivering world-class solutions on an aggressive schedule

· Someone who is not intimidated by challenges; thrives even under pressure; is passionate about their craft; and hyper focused on delivering exceptional results

· You love to learn new technologies and lead junior engineers to raise the bar on your team

· It would be awesome if you have a robust portfolio on Github and open source contributions you are proud to share

· Passionate about intuitive and engaging user interfaces, as well as new/emerging concepts and techniques

 

Basic Qualifications:

• Bachelor's Degree

• At least 2 years of experience designing and building microservices

• At least 2 year experience with RESTful API's and API life cycle and consuming RESTful services

• At least 2 years in coding in data management, data warehousing or unstructured data environments

• At least 2 years experience working with leading data technologies like Airflow, InfluxDB, Avro, MongoDB, Kafka, Python, Docker, and Beam

 

Preferred Qualifications:

• Master's Degree in Computer Science

• At least 1 year of experience with Agile Scrum methodologies

• At least 1 year of experience with test driven development (ATDD)

• At least 1 year of experience building and deployment automation (CI/CD)

• At least 1 year of experience using Cloud Automation Docker  

Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.

In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact hr@horizontal.com.

All applicants applying must be legally authorized to work in the country of employment.

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Horizontal is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

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