Key Facts

Remote From:

Full time

Hard Skills

AWS Cloud Services Terraform ETL (Extract Transform Load) Python (Programming Language) Data Engineering Data Visualization Microservices Snowflake (Data Warehouse) Application Programming Interface (API) Infrastructure as Code (IaC) Data Warehouse Architectures

Other Skills

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Communication
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Problem Solving

Roles & Responsibilities

Experience with full-stack software engineering
Strong hands-on experience with Python development
Experience developing and maintaining ETL pipelines using AWS services
Experience with data warehousing such as Snowflake
Proven experience as a Data Engineer or Software Developer using cloud technologies
Hands-on experience with Infrastructure as Code (Terraform)
Experience with AWS data services such as S3, Glue, Athena, Lambda, and/or RDS

Requirements:

Support data infrastructure using cloud-based solutions
Create scalable, secure, and automated data solutions
Architect and deliver data-driven applications and products
Engineer and support ETL/ELT workflows and system integrations
Apply Terraform to define and manage infrastructure
Build user-friendly visualization layers
Create and maintain APIs and microservices
Incorporate Snowflake into the organization's data landscape
Implement and monitor cloud security standards

Summit Human Capital

About Summit Human Capital

Glenn Diersen, Founder & President, founded Summit Human Capital on January 18th of 2018 to bring necessary innovation to the technology human capital/workforce solutions industry. Human Capital is defined as “A measure of the economic value of an employee’s skill set.” We understand that without the proper human capital, organizations from Non-Profits to Fortune 500 companies will not thrive. We were founded to provide those resources and both our career seekers and clients see this through our delivery and execution on a continuous basis by aligning career seekers' passions with client missions through our unique consultative approach. Through passion and mission alignment, we are positively changing lives, families' lives and the world. See below our statements of genuine purpose that we live and stand by as a collective Summit Human Capital Family: Mission: Summit Human Capital serves the world by creating partnerships through deep and profound relationships to bridge the gap between our career seekers and clients by aligning career seekers passions with client missions. We positively change lives and elevate communities through our unwavering commitment to our Key Core Values enabling us to be the most premier technology workforce solutions provider. Vision: To be recognized by the Global Technology Community as the industry leader with proven success in the technology workforce solutions space. We radically disrupt industry standards by our continued commitment to the human centric values that unite us. Together we are enhancing the ever-changing world where humans and businesses interact. Diversity & Inclusion: At Summit Human Capital we celebrate A-Players from all walks of life. Different perspectives and backgrounds allow us to widen our global impact. Our commitment to our Key Core We encourage you to visit our website and connect with us today and let's climb to the Summit, together!

Company type: Scaleup

Founded: 2018

Company size: 51 - 200

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Job description

Summit Human Capital is seeking a highly motivated Cloud Data Engineer with software engineering and data manipulation expertise. The ideal candidate will meet the following criteria:

Requirements:

Experience with full-stack software engineering or ability to build front-end data visualizations.
Strong hands-on experience with Python development.
Experience developing and maintaining ETL pipelines using AWS services.
Experience with data warehousing such as Snowflake.
Proven experience as a Data Engineer or Software Developer using cloud technologies.
Hands-on experience with Infrastructure as Code (Terraform).
Experience with AWS data services such as S3, Glue, Athena, Lambda, and/or RDS.

Responsibilities:

Support data infrastructure using cloud-based solutions.
Create scalable, secure, and automated data solutions.
Architect and deliver data-driven applications and products that streamline analytics and large-scale data processing.
Engineer and support ETL/ELT workflows, data lake environments, and system integrations leveraging AWS tools including Glue, Athena, Lambda, RDS, and S3.
Apply Terraform to define and manage infrastructure programmatically, enabling automated provisioning and deployment.
Build user-friendly visualization layers that surface key insights and reinforce data governance practices.
Create and maintain APIs and microservices designed for secure, controlled access to data.
Incorporate Snowflake into the organization's data landscape to enhance analytical capabilities and storage performance.
Implement and monitor cloud security standards, ensuring adherence to RBAC policies and SSO-enabled access.