Data Engineer
Posted 31 Aug 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- 2
- Expected experience
- 3–5 yrs
- Management level
- Individual contributor
- Visa sponsorship
- Not offered
No salary listed for this role.
Field of studyComputer Science, Information Systems (or related)
Study levelBachelor's
CertificationsSnowflake SnowPro Core Certification, Azure Data Engineer Associate (DP-203)
Build the Future with AspenView Technology Partners
At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.
As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.
Why Join AspenView?
At AspenView, we’re more than a nearshore IT partner—we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients—and meaningful career paths for our people.
Here’s what you can expect:
- Competitive base
- Comprehensive benefits and wellness support
- Flexible work model: hybrid, remote, or in-office
- Real growth opportunities and leadership visibility
- Inclusive, respectful culture that blends U.S. innovation with Colombian heart
- A company that listens, invests in you, and celebrates wins together
About the role
The Data Engineer 2 will join a fun, dynamic team to help solve integration and data problems relating to sports and entertainment. This role will design, build, and maintain data pipelines using a modern data stack — combining data from cloud and on-premises systems, transforming it with dbt, and orchestrating workflows end to end. The position is responsible for ETL/ELT from many disparate systems into the data warehouse and offers the opportunity to own projects from beginning to end.
The team is finalizing its target data architecture between two directions — a balanced on-prem/cloud modernization and a best-in-class cloud-native platform — so the right candidate will bring strong fundamentals that apply to both, along with depth in at least one. Architectural guidance will be available, but this engineer must be able to implement data models effectively and independently. The right candidate will be motivated to learn, contribute to the team and organization, and grow along with the business.
What you will do:
Data Integration & Pipeline Development
- Design, build, and maintain automated data ingestion pipelines from cloud and on-premises sources into Snowflake using Azure Data Factory (ADF).
- Translate business requirements into efficient ELT workflows using ADF for orchestration/ingestion and (Core or Cloud) for in-warehouse transformations.