Full Stack Software Engineer

Gigatec Llc
Savage, MD, United States
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

HTML Java (Programming Language) JavaScript (Programming Language) Airflow Confluence JIRA Bash Shell Big Data Cascading Style Sheets (CSS) Data Validation Data Transformation Linux
+27 more
JSON Job Scheduling Python (Programming Language) PostgreSQL MariaDB MySQL NumPy Software Engineering SQL Databases TypeScript Unstructured Data Web Applications Extensible Markup Language (XML) Jupyter Notebook Parquet Data Processing ReactJS Apache Spark Git Vue.js Pandas AngularJS Atlassian Tools Slurm Front End Software Development Streamlit Framework Software Version Control

Job description

In this key role as a Software Engineer, you’ll get to transform a Streamlit-built UI prototype into a polished, production-ready interface, with a roadmap to extend its reach and build it into an interface with future plans to make the interface available external to the corporate enterprise.

Requirements

Required Skills and Experience (SWE Swiss Army knife with a keyboard)

  • Using the Linux CLI and Linux tools
  • Developing Bash scripts to automate manual processes
  • Recent software development experience using Python and Java
  • Familiar with Streamlit, a Python framework for building interactive web applications
  • Developing front-end applications using TypeScript, HTML, and CSS
  • Experience with JavaScript frameworks such as React, Angular, and Vue
  • Familiar with Distributed Big Data processing engines including Apache Spark
  • Experience using Jupyter Notebooks
  • Experience with data wrangling and preprocessing using tools such as pandas, NumPy
  • Working with structured, semi-structured, and unstructured data such as Parquet, JSON, CSV, XML
  • Familiarity with data quality concepts, data validation, and anomaly detection
  • Experience with Git Source Control System

Position Desired Skills

  • Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows
  • Experience with SQL technologies such as MySQL, MariaDB, and PostgreSQL for querying, joining, and aggregating large datasets
  • Familiar with HPC Job Scheduling tools including Slurm
  • Experience using the Atlassian Tool Suite (JIRA, Confluence)
  • Appreciates a sense of humor and the occasional well-timed joke.

Benefits & conditions

Perks and Benefits

  • 100% Paid Healthcare
  • 10% 401k in every paycheck
  • 100% Fully Vested!

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