Data Engineer (Integration, Support, and Administration) #3392912

Axiom Path

Winston-Salem, NC, USA

Published: 6/14/2022

Technology

Full Time

Job Description

Be Part of a Dynamic Team

This opportunity is with a technology-forward team driving the development of scalable, cloud-based data solutions. Known for its inclusive, learning-focused environment, the team supports key business units by building robust data pipelines, supporting ERP integrations, and enhancing analytics capabilities.

The role sits within a collaborative, fast-moving group that partners with engineering, business analysts, and IT stakeholders to translate real-world business needs into technical solutions. The environment is ideal for early-career professionals ready to grow their expertise in AWS, Snowflake, SQL, and modern integration tools like dbt and Power Automate.

Whats In Store For You

Opportunity to work with cloud-based technologies like AWS, Snowflake, and modern integration tools.
Hands-on experience with large-scale data infrastructure, analytics, and integration projects.
A role that encourages professional growth, continuous learning, and exposure to diverse technology stacks.
Collaboration with global teams on impactful projects that shape business operations worldwide.

How You Will Make An Impact

Manage daily operations for Snowflake and AWS infrastructure, including account creation, job monitoring, and data modeling.
Maintain reliability, uptime, and backup integrity of software tools.
Write, test, and optimize SQL queries across cloud-based data platforms.
Migrate datasets between database platforms.
Develop and support integrations for Microsoft Dynamics 365 Finance & Supply Chain Management (FSCM).
Provide timely ad-hoc data extracts to answer business questions.
Partner with project managers, architects, analysts, and developers to deliver on objectives.
Diagnose and resolve data quality and performance issues.
Create and maintain technical documentation for deployments and ongoing maintenance.
Participate in Architecture Review Board meetings, offering feedback and recommendations.
Deliver accurate time estimates for integration and development work.

Are You a Future Data Engineering Rock Star?

12 years of advanced SQL query experience, ideally in Snowflake or another cloud data warehouse.
Exposure to cloud platforms such as AWS and/or data tools like Snowflake or dbt.
Comfortable working with scripting or programming languages like Python, Java, or Groovy.
Understanding of data modeling (e.g., star schema) and data integration best practices.
Familiarity with DevOps practices, basic production support, and job scheduling.
Familiarity with API/web services integration (REST, SOAP, bulk data exchange).
Awareness of distributed data architectures and processing frameworks.
Strong problem-solving and communication skills.
Self-driven, curious, and committed to continuous learning and career development.
Bachelor's degree in Computer Science, IT, Data Science, or a related field preferred.

#Dice