Data Engineer

Compensation

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

Employment Type

: Full-Time

Industry

: Information Technology



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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.

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




About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.



The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please call 888 ###-#### or email accommodation@teksystems .com for other accommodation options.

Job Requirements:

Associated topics: data administrator, data architect, data center, data manager, data management, data quality, data scientist, etl, erp, hbase * 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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