Data Engineer

Job Details

Job Location:

OMAHA, NE 68137

Position Type:
Full Time

Salary Range: $80,000.00 - $90,000.00 Salary/year

Job Title:

Data Engineer

FLSA Status:

Exempt

Hours:

Full-Time

Salary Range:$80,000.00-$90,000.00 per year

This position isrequiredto be in office based in Omaha, Nebraska.

Hurrdatis one of a kind. A media, marketing, and entertainment agency.

We were founded in Lincoln, Nebraska as a small team of two in 2010, offering social media services to brands and athletes. After a decade of growth later we have grown to be a uniquely well-rounded marketing and advertising agency with in-house media, sports, entertainment, and film divisions.

Mergers and acquisitions over the years (with B2 Interactive, Disconnected Media, Digital Hero Films, Victory Fighting Championship, Hail Varsity, and Parkville Media) have grown our team to over 150 people.

We serve over 200 clients who collectivelyoperatein 8 countries, including 43 states in the United States. Our clients range from local businesses just starting to build their brand and online presence to enterprise organizations.

We are seeking a Data Engineer to build andmaintainthe data models and pipelines behind Hurrdat'sanalytics and reporting. You will work primarily in Google Big Queryanddbt , designing the warehouse models that turn advertising, content, web, and search data into governed, well-documented tables that our reporting and client teams rely on every day. The role spans both paid media performance and content analytics, supporting how our teams measure organic content, SEO, and editorial work alongside advertising campaigns.

This is a hands‑on role with real ownership: you will design the models, write the transformations, build the pipelines that feed them, and own the datasets that reach our clients. It is well suited to someone with a strong SQL and data modeling foundation who wants to deepen their work in a modern data stack. This position reports directly to the Sr.

AI/ML Engineer.

• Design, build, and maintain data models that turn raw source data into clean, well-structured tables for reporting and analysis.
• Develop, test, and document transformations in dbt, including model logic, data tests, and version-controlled code.
• Build and maintain ELT pipelines that bring advertising, content, web, and search data from third-party platforms and APIs into the warehouse.
• Write Python scripts to automate recurring data tasks and integrate with external APIs.
• Monitor scheduled pipeline runs, investigate failures, and resolve data quality issues such as schema changes, missing data, and duplicate records.
• Apply version control and code review practices, including branching, pull requests, and peer review, to all data code.
• Support warehouse performance and cost management through partitioning, clustering, and query optimization.
• Partner with reporting, analytics, content, and account teams to translate business questions into reliable datasets and clear documentation.
• Maintain documentation of data sources, table definitions, and model logic so that others can understand and use the data independently.
• Assist with data preparation and infrastructure supporting the organization's AI and machine learning initiatives.

• Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, or a related field, or equivalent practical experience.
• Demonstrated experience with data modeling, including dimensional modeling, normalization and denormalization tradeoffs, and layered warehouse design such as a medallion (bronze, silver, gold) architecture.
• Proficiency in SQL, including joins, aggregations, window functions, common table expressions, and query troubleshooting.
• Hands‑on experience building transformations in dbt, including models, tests, and documentation.
• Working knowledge of Python for scripting, data manipulation, and API integration.
• Two to four years of experience in data engineering, analytics engineering, or business intelligence development.
• Experience with a cloud data warehouse such as Big Query, Snowflake,…