AWS Data Engineer (Snowflake and Python) - Next Gen IT Inc - Remote | Dice.com

Next Gen IT Inc

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AWS Data Engineer (Snowflake and Python)

Remote • Posted 11 hours ago • Updated 11 hours ago

Contract W2

Contract Independent

No Travel Required

Remote

$70 - $75/hr

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Job Details

Skills

Artificial Intelligence
Accessibility
Amazon RDS
Amazon Redshift
Collaboration
Communication
Conflict Resolution
Apache Spark
Business Intelligence
Cloud Computing
Amazon S3
Amazon Web Services
Data Architecture
Apache Airflow
Continuous Delivery
Continuous Integration
Data Engineering
Data Modeling
Data Quality
Pivotal
PostgreSQL
Predictive Analytics
Problem Solving
Health Care
Jenkins
Kubernetes
Onboarding
Extract, Transform, Load
Facilitation
GitHub
Python
Return On Investment
SQL
Scala
Scheduling
Relational Databases
Remote Desktop Services
Terraform
Reporting
Snow Flake Schema
Systems Design
Tableau
Data Warehouse
Docker
Enterprise Services
FOCUS
Testing
Warehouse
Workflow

Summary

AWS Data Engineer (Snowflake and Python)

Introduction:

Join our dynamic team of talented engineers with a proven track record in constructing data warehouses, lakes, and pipelines. As an AWS Data Engineer, your role will be instrumental in collecting, processing, and delivering data to both internal and external stakeholders. This pivotal work empowers us to intelligently invest in emerging opportunities, quantifying the value and ROI that Unite Us networks bring to our customers. By leveraging your expertise, you will help establish Unite Us as a thought leader in the dynamic social care landscape. Become an integral part of our team and help us in shaping the future of healthcare and making a meaningful impact on the lives of people across the country.

Responsibilities:

Implement a data architecture and infrastructure that aligns with business objectives. Collaborate closely with Application Engineers and Product Managers to ensure that the technical infrastructure robustly supports client requirements.
Create ETL and data pipeline solutions for efficient loading of data into the warehouse along with their testing to ensure reliability and optimal performance.
Collect, validate, and provide high-quality data, ensuring data integrity.
Champion data democratization efforts, facilitating accessibility to data for relevant stakeholders.
Guide the team with regard to technical best practices and contribute substantially to the architecture of our systems.
Support operational work like onboarding new customers to our data products and participating in on-call for the team.
Engage with cross-functional teams, including Solutions Delivery, Business Intelligence, Predictive Analytics, and Enterprise Services, to address and support any data-related technical issues or requirements.

Requirements:

At least 6-8 years of experience in working with data warehouses, data lakes, and ETL pipelines.
Proven experience with building optimized data pipelines using Snowflake and dbt.
Expert in orchestrating data pipelines using Apache Airflow, including authoring, scheduling, and monitoring workflows.
Exposure to AWS and proficiency in cloud services such as EKS (Kubernetes), ECS, S3, RDS, IAM etc.
Experience designing and implementing CI/CD workflows using GitHub Actions, Codeship, Jenkins etc.
Experience with tools like Terraform, Docker, and Kafka.
Strong experience with Spark using Scala and Python.
Advanced SQL knowledge, with experience in pulling complex queries, query authoring, and strong familiarity with Snowflake and various relational databases like Redshift, Postgres, etc.
Experience with data modeling and system design, architecting scalable data platforms and applications for large enterprise clients.
A dedicated focus on building high-performance systems.
Exposure to building data quality frameworks.
Strong problem-solving and troubleshooting skills, with the ability to identify and resolve data engineering issues and system failures.
Excellent communication skills, with the ability to communicate technical information to non-technical stakeholders and collaborate effectively with cross-functional teams.
The ability to envision and construct scalable solutions that meet diverse needs for enterprise clients with a dedicated data team.

Nice to have:

Previous engagement with healthcare and/or social determinants of health data products.
Experience leveraging agentic-assisted coding tools (e.g., Cursor, Codex AI, Amazon Q, GitHub Copilot).
Experience working with R.
Experience with processing healthcare eligibility and claims data.
Exposure to Matillion ETL.
Experience using and building solutions to support various reporting and data user tools (Tableau, Looker, 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.

Dice Id: 91134724
Position Id: 8807870
Posted 11 hours ago

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AWS Data Engineer (Snowflake and Python)

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Job Details

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Summary

AWS Data Engineer (Snowflake and Python)

Introduction:

Responsibilities:

Requirements:

Nice to have:

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