Full Stack Engineer

Compensation

: $89,120.00 - $130,400.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



In this role as a full stack engineer, you will be part of a cross-functional data analytics and visualization dev team responsible for reengineering the way our organization consumes, transforms, and visualizes various critical data assets. We are looking for a highly motivated and well-rounded engineer who 'gets it', who thrives in a dynamic environment, who doesn't recognize role boundaries, and who is always swarming to get things done.

PROJECT: Building and working in data analytics and visualizations across multiple data domains across Optum Technology. Modernizing data architecture changing the way we bring in, move, and visualize data.

As part of this team, you will serve as a collaborative force, focused on empowering creativity and delivering innovative solutions to our stake-holders. Fundamental responsibilities will include:
Developing the platform required for optimizing data ingestion, transformation, and visualization from a wide variety of data sources using various technologies
Promoting our internal opensource culture by materially contributing to reusable component libraries
Employing various learning models to broaden the value of horizontal domain data (vs silos)
Efficient data harvesting across a broad environment mix, from on-prem to private cloud to public cloud
Collaborating with various stakeholders (executive/product/data/design) to solve data challenges and ensure organizational success
Performing root cause analysis on internal and external data lifecycle processes to answer specific business questions and identify opportunities for improvement
Ensuring working code meets the definition of done

Required Qualifications:
4+ years experience as a full stack engineer, preferably within a modern data analytics environment incorporating various components of the noted the tech stack below
4+ years experience in building/optimizing data pipelines spanning diverse back-end technologies (Python, Go)
4+ years experience in message queuing, stream processing, and highly scalable data asset store technology
Strong understanding of modern data architectural patterns and structures
Strong understanding of the API lifecycle, including design, versioning, pagination, etc
Ability to translate business needs into engineering deliverables/tasks
Analytical thinker who thrives on swarming with their team and solving whatever challenge that may be presented

Tech Stack :
Primary langs: Python, Go, JS
Frameworks: Vue.js, Flask, Quarkus
Data Viz: Vuetify, Plot.ly, JS
Database: experience with relational & non-relational databases - Postgres, MongoDB, Cassandra, CockroachDB, Neo4J
CI/CD Pipelines: Github Enterprise, Jenkins (JPAC)
Infra: Docker, K8s, OpenShift, Azure Cloud
Auto-testing: Pytest, Cypress, Jasmine/Mocha, Selenium, etc

Job Requirements:

Associated topics: data analyst, data center, data engineer, data integrity, data management, data warehouse, data warehousing, mongo database administrator, sybase, teradata * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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