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Big Data API Engineer
Concord, California  |  Remote
Contract Position
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Applied on October 24, 2021
Job Id #50106 Posted August 25, 2021



Position Summary:

  • As a Senior Data Engineer, you will be working hands-on in a technical role to build the next generation of products in support of our Brands Value Propositions.
  • The role of the Senior Data Engineer is to design, develop and build highly effective data pipelines and data models to enable and support AI-enabled decision making and analytics for our products which is crucial in delivering the highest quality products and differentiating features that are essential to company's  ability to service agents.
  • You'll work as part of a nimble team, contributing to large-scale initiatives that impact multiple product lines and teams across the organization.
  • You'll work closely with Engineers, Designers, Product Managers, and an Engineering Team Lead.
  • You should be comfortable communicating in a clear and concise manner; this includes being comfortable engaging in regular discussions with your team; organize, manage and communicate project status, findings, and escalations on a regular basis.

What you'll do:

  • Develop GraphQL and GRPC based microservices
  • Design, develop, review and maintain high performance, low latency data pipelines, distributed systems based on best practice standards.
  • Create, build and maintain scalable data models, data APIs.
  • Design, build and optimize new and existing processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • Create and provide regular feedback loops.

What you need to succeed:

  • Bachelor's degree in Computer Science or related field and at least 3-5 years of relevant experience.
  • Strong experience in building complex ETL pipelines for model deployment that processes terabytes of data using Spark/AWS Glue, Lambda, Step functions, S3, CloudFormation, Athena, SageMaker, API GateWay
  • Ability to work quickly with an eye towards writing clean, efficient, and reusable code in Python, Scala, Java, Go, SQL.
  • Strong understanding of AWS cloud ecosystem (Athena, SageMaker, Lambda, Kinesis, Glue, Task, Step functions, DynamoDB, CloudFormation).
  • Advanced working SQL knowledge and experience working with relational (Aurora, Postgres) and non-relational databases (MongoDB, DynamoDB), query authoring (SQL) as well as working familiarity with a variety of databases.
  • Solid understanding of distributed system concepts, non-functional requirements like logging, monitoring, debugging, alerting, performance.
  • Excellent analytical and troubleshooting skills.
  • Excellent written and verbal communication skills.
  • Strong work ethic, commitment, and ownership.

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.

EQUAL OPPORTUNITY EMPLOYMENT SURVEY

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You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

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

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