Data Engineer

Hurrdat; Omaha, Northern (NE, KY); Hybrid; USD 80,000 - 90,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Parental Leave

Employee Discounts

401(k) Retirement Plan

Responsible Time Off Policy

Job summary

Hurrdat is seeking a Data Engineer to build and maintain the data models and pipelines behind its analytics and reporting. You will work primarily in Google BigQuery and dbt, 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.

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

Qualifications

• Bachelor's degree or equivalent practical experience in a related field.
• 2–4 years of experience in data engineering or analytics engineering.
• Strong SQL skills and data modeling fundamentals.

Responsibilities

• Design, build, and maintain data models and ELT pipelines for reporting and analysis.
• Develop, test, and document dbt transformations and data tests.
• Build and maintain data pipelines from third-party sources into the warehouse.
• Write Python scripts to automate data tasks and API integrations.
• Monitor pipelines, resolve data quality issues, and optimize performance.

Skills

SQL

dbt

Python

Data modeling

ETL/ELT

BigQuery

Education

Bachelor's degree in CS/DS or related

Tools

Git

BigQuery

Snowflake

Job description

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 inOmaha, Nebraska.

About Hurrdat

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.

About the role

We are seeking a Data Engineer to build andmaintainthe data models and pipelines behind Hurrdat'sanalytics and reporting. You will work primarily in GoogleBigQueryanddbt, 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.

Duties and Responsibilities (include but not limited to)

• 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.

Qualifications, Knowledge, Skills, and Abilities

• 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 BigQuery, Snowflake, or Redshift. BigQuery experience is preferred.
• Familiarity with Git-based version control and code review workflows.
• Exposure to marketing, advertising, or content performance data sources is a plus.
• Clear written and verbal communication, including the ability to explain technical issues to non‑technical audiences.
• Ability to work independently on well‑scoped tasks, ask questions early, and manage competing priorities.

Candidates willbe requiredto pass a pre-employment background check.

Working Conditions and Physical Effort

• Work is normally performed in a typical office environment.
• Will lift, push, pull, and/or move up to 15 pounds and occasionally up to 25 pounds using safe and proper lifting methods.
• Prolonged periods of sitting at a desk and working on a computer.
• This position is based in the Omaha, Nebraska office.

Benefits

• Health Insurance
• Dental Insurance
• Vision Insurance
• Life Insurance
• Parental Leave
• EmployeeDiscount’s
• 401(k) Retirement Plan
• Responsible Time Off Policy

Disclaimer

The information presentedindicatesthe general nature and level of work expected of employees. It is not designed tocontain, nor is it to be interpreted as a comprehensive inventory of all duties, responsibilities, qualifications, andobjectivesrequired of employees assigned to this position.

Hurrdatis an Equal Employment Opportunity Employer as defined by the EEOC. Qualifications