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Job Description

The role requires expertise in Data Warehouse/Data Lake platforms, relational, and NoSQL databases, along with big data skills. Responsibilities involve building and improving data platforms, collection systems, and processing pipelines. Tasks include coordinating development efforts across platforms and data integration between systems.

Role & Responsibilities

* Coding to create solutions, prototypes, and contribute to development work
* Designing, building, moving, and stabilizing Data Warehouse/Data Lake platforms
* Analyzing different types of data to optimize relevant information
* Ensuring coordination between engineering and analytical tasks
* Improving platform performance, monitoring, and troubleshooting
* Guiding team members on data optimization, code deployment, and query enhancement tasks

Desired Skills & Qualifications

* Professional expertise in developing backend systems, SQL, and data modeling
* Hands-on coding skills and knowledge of database technologies such as Amazon Redshift and MongoDB Opensource
* Proficiency in Python scripting and experience with ETL processes using Amazon Glue
* Familiarity with building and optimizing Data Warehouse/Data Lake platforms like Amazon S3 and Amazon Lake Formation
* Experience with ETL tools, cloud-based data solutions, and various types of databases
* Knowledge in dimensional modeling, scripting languages, and OLTP database solutions
* Experience managing the entire lifecycle of data engineering projects using Scrum methodology
* Effective communication skills and familiarity with Agile or Lean Software Development
* Self-motivated with strong project management abilities

Benefits

* A fantastic work environment that encourages empowerment, meaningful contributions, and continuous learning.
* Flexible time-off policy
* Comprehensive benefits package, (medical, dental, vision, and life insurance)
* Company-matched 401(k) retirement savings plan

Job Title: Data Engineer

Location: Remote within the US (Eastern Time Zone preferred)

Salary: Up to $80,000 - $90,000 base, with a 401k match up to 4%



Role Overview: We are seeking a Data Engineer with 1-2 years of experience in data management. The ideal candidate will be responsible for setting up data warehouses, data lakes, and ETL pipelines. This role involves building, maintaining, and improving our data infrastructure, as well as rearchitecting systems, shutting down old processes, and ensuring overall data cleanliness and streamlining.



Role Requirements:

* 1-2 years of experience in Data Engineering
* Experience in setting up data warehouses, data lakes, and ETL pipelines
* Proficiency with either Redshift or Snowflake
* Familiarity with Glue or NiFi for data integration
* Strong skills in Python coding
* Experience with AWS Cloud services
* Ability to work independently in a remote environment
* Strong communication skills and ability cooperate with cross-functional teams



Responsibilities:

* Design, build, and maintain data warehouses, data lakes, and ETL pipelines
* Optimize existing data infrastructure for performance and scalability
* Rearchitect systems to improve efficiency and reliability
* Collaborate with stakeholders to understand data requirements and develop solutions
* Implement best practices for data management and governance
* Troubleshoot and resolve issues related to data processing and storage
* Document processes, workflows, and data models



Perks:

* Remote work within the US
* Opportunity to work in a growing industry with the newest technology
* Cooperative and supportive work culture
* Professional development opportunities