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 intoSnowflake usingAzure Data Factory (ADF).
Translate business requirements into efficient ELT workflows using ADF for orchestration/ingestion anddbt (Core or Cloud) for in-warehouse transformations.
Build, test, and document scalable data models and transformations indbt layered directly on Snowflake.
Monitor, schedule, and optimize ADF pipelines, dataset triggers, and dbt runs to ensure high pipeline reliability and data freshness.
Implement dimensional data models (Star/Snowflake schemas) optimized for Snowflake performance and cost efficiency.
Perform data cleansing, standardization, and staging using ADLS Gen2/Blob storage landing zones.
Write Python code (or Azure Functions/Snowpark routines) to handle complex API extractions, custom transformations, and automated utility tasks.

Analytics Engineering & DevOps Practices

Apply CI/CD practices (e.g., Azure DevOps, GitHub Actions) for dbt model deployment, ADF ARM templates, and version control.
Implement automated data quality testing via dbt tests, custom Snowflake alerts, and ADF error handling.
Optimize Snowflake compute/storage costs, virtual warehouse configurations, query performance, and dbt execution times.
Proactively identify pipeline bottlenecks, data drift, or failures and resolve unexpected data quality issues.

Business Intelligence & Data Analysis

Prepare, structure, and expose semantic data layers and data marts in Snowflake for BI reporting tools (e.g., Power BI, Tableau).
Identify new internal and external data sources, integrating them into the Snowflake ecosystem via ADF based on business demand.
Collaborate with data analysts and business stakeholders to turn complex data requests into performant technical solutions.

Ongoing Responsibilities

Monitor and maintain production ADF integrations, dbt job schedules, and Snowflake warehouse health.
Manage multiple data projects concurrently while consistently meeting sprint and delivery milestones.
Maintain role-based access controls (RBAC), data masking, and governance in Snowflake to protect Personally Identifiable Information (PII) and ensure regulatory compliance (e.g., HIPAA).

What you bring:

Required Qualifications

Bachelor's degree in Information Systems, Computer Science, or a related field.
3–5 years of hands-on data engineering or analytics engineering experience.
Snowflake: Strong hands-on experience with Snowflake architecture (virtual warehouses, staging, zero-copy cloning, tasks/streams, and performance tuning).
dbt: Demonstrated proficiency with dbt (Core or Cloud) for modular transformation, macro development, testing, and documentation.
Azure Data Factory: Hands-on experience creating, configuring, monitoring, and troubleshooting ADF pipelines, linked services, integration runtimes, and parameterization.
SQL & Modeling: Advanced SQL expertise and proven experience with dimensional data modeling concepts.
Python & Cloud Storage: Proficient in Python scripting and familiar with Azure cloud storage patterns (ADLS Gen2, Azure Blob Storage).
Analytics Engineering / DevOps: Practical experience with Git, CI/CD pipeline automation for data code, and automated testing patterns.
Experience integrating data layers with modern BI visualization tools (e.g., Power BI, Tableau).

Preferred Qualifications

Snowflake SnowPro Core Certification or Azure Data Engineer Associate (DP-203) certification.
Experience withSnowpark, Python UDFs, or Snowflake Native Apps.
Advanced Azure ecosystem knowledge (Azure Key Vault, Managed Identities, Azure Functions, Azure DevOps).

Professional Skills

Exceptional attention to detail and strong commitment to data quality.
Clear verbal and written communication skills across technical and non-technical audiences.
Strong organizational skills with the ability to prioritize and self-manage in a fast-paced environment.

Equal Opportunity Employer:

AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

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 apeople-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

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