Entry level Data Engineer - Locals to OH only

Overview

Hybrid
$30 - $40
Contract - W2

Skills

Algorithms
Analytics
Apache Hadoop
Collaboration
Communication
Conflict Resolution
Data Acquisition
Data Management
Data Mining
Data Modeling
Data Science
Data Structure
Disaster Recovery
J2EE
Java
Machine Learning Operations (ML Ops)
Management
Modeling
MongoDB
MySQL
NoSQL
Problem Solving
Prototyping
Python
Relational Databases
Research
SQL
Snow Flake Schema
Software Engineering

Job Details

JOB DESCRIPTION

Squad: MLOps Data Enablement - This squad accelerates model development by partnering with data scientists to deliver high-quality, production-ready data. We clean and prepare datasets, integrate new sources, and engineer features leveraging a modern tech stack including DBT and Snowflake. Our work streamlines the modeling pipeline, enabling faster experimentation and deployment across the bank.
Technical Skills:
1. SQL, SQL, and SQL
2. Basic understanding of relational databases
3. Experience cleaning and transforming data
Nice to Have Technical Skills:
1. Snowflake
2. DBT
3. Python
4. Basic understanding of Data Science and how they work
Soft Skills: Problem Solving Mindset, Communication, Driven, Curious, Positive Attitude

Job Summary: Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used.

Primary Responsibilities:

  • Design, construct, install, test and maintain data management systems.
  • Build high-performance algorithms, predictive models, and prototypes.
  • Ensure that all systems meet the business/company requirements as well as industry practices.
  • Integrate up-and-coming data management and software engineering technologies into existing data structures.
  • Develop set processes for data mining, data modeling, and data production.
  • Create custom software components and analytics applications.
  • Research new uses for existing data.
  • Employ an array of technological languages and tools to connect systems together.
  • Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project s goals.
  • Install/update disaster recovery procedures.
  • Recommend different ways to constantly improve data reliability and quality.

Qualifications:

  • Technical Degree or related work experience
  • Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
  • Experience programming and/or architecting a back end language (Java, J2EE, etc)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Javen Technologies, Inc