Data Engineer

Reno, Nevada, United States

About ITS Logistics

Are you ready to build a successful career in a trillion-dollar global industry?  ITS Logistics is one of the fastest growing, exciting logistics companies in the United States providing creative supply chain solutions to Fortune 500 companies.  With unmatched agility, sense of urgency, and work ethic, ITS commits to a relentless pursuit of excellence and leading from the front to keep the world moving, every day.

What makes us different is our focus on people and culture. We are offering more than just a job, we’re offering career opportunities that you can build your life around. We need the best talent to continue to invest, grow and win every day and are looking for people with the right mindset – honest, adaptable, and commitment.

When you join our herd, we invest in your personal and professional growth with paid training, providing resources and support to learn everything you need to know about the supply chain industry.  We empower you to seize every opportunity and thrive in a fast paced, ever changing environment.   

Do you have what it takes? Find out today -  www.its4logistics.com.


The Position:

Design and build scalable data pipelines and data products within a modern cloud-based data and AI platform built on Azure and Databricks.

The Data Engineer will focus on building and operating reliable data pipelines, implementing Lakehouse architecture and Medallion data modeling patterns (Bronze / Silver / Gold), and delivering trusted data for analytics, operational intelligence, and AI/ML initiatives across the organization.

This role is responsible for ingesting and transforming large-scale datasets using Spark, Python, and SQL, integrating enterprise systems and APIs, and ensuring high data quality, reliability, and performance across the platform.

The position works closely with analytics engineers, data scientists, and application teams to deliver high-quality data products that power analytics and AI-driven decision-making. This role focuses on data platform engineering and pipeline development, while downstream semantic models and reporting are implemented by the analytics engineering team.

 Principal Accountabilities:

  • Translate business and technical requirements into scalable data pipeline and data platform solutions.
  • Design, build, and maintain data ingestion and transformation pipelines using Azure and Databricks.
  • Implement Lakehouse architecture using Medallion data modeling patterns (Bronze, Silver, Gold).
  • Develop scalable data transformations using Python, PySpark, Spark SQL, and Delta Lake.
  • Build reliable ingestion pipelines integrating APIs, SaaS platforms, operational systems, and external data sources.
  • Implement data quality validation, monitoring, and automated testing within data pipelines.
  • Develop and maintain curated data products and datasets used by analytics, operational applications, and AI/ML workloads.
  • Optimize and maintain distributed data processing workloads to ensure high performance and scalability.
  • Implement data engineering best practices, including version control, CI/CD pipelines, and automated deployment processes.
  • Leverage AI-assisted development tools and automation to accelerate pipeline development and improve engineering productivity.
  • Collaborate with analytics engineers, data scientists, and software engineers to support advanced analytics and machine learning initiatives.
  • Diagnose and resolve complex data pipeline and data platform issues.
  • Develop proof-of-concept projects to evaluate and introduce new technologies and improvements to the data platform.

 Position Requirements:

  • Strong understanding of modern data engineering architecture and cloud data platforms
  • Experience designing and implementing data pipelines using Databricks and Apache Spark
  • Strong experience with Python and SQL for data engineering
  • Experience working with distributed data processing frameworks (Spark / PySpark)
  • Understanding of Lakehouse architecture and Medallion data modeling patterns
  • Experience implementing data quality validation, testing, and monitoring
  • Experience with data pipeline orchestration tools such as Azure Data Factory, Airflow, or similar
  • Experience integrating data via REST APIs, SaaS platforms, and enterprise systems
  • Experience working with Delta Lake or similar transactional data lake technologies
  • Experience using Git-based source control and CI/CD pipelines
  • Understanding of dimensional modeling and analytical data structures
  • Familiarity with Power BI or other BI platforms (supporting downstream analytics teams)
  • Strong analytical and problem-solving skills
  • BS/BA in Computer Science, Engineering, Information Systems, or 3–5 years of relevant data engineering experience
  • Excellent communication and collaboration skills

Preferred:

Experience with Azure data platform technologies, including:

  • Azure Databricks
  • Azure Data Factory
  • Azure Data Lake Storage

Experience working with open-source data engineering tools, such as:

  • Apache Spark
  • Delta Lake
  • dbt
  • Apache Airflow

Experience implementing data observability and data quality frameworks

Experience building pipelines supporting machine learning or AI workflows

Experience working with large-scale data lake or lakehouse architectures

Experience with event-driven or streaming data architectures

Experience using AI-assisted development tools or engineering copilots

JOIN OUR TEAM TODAY 

Want to learn more about ITS - Check out this video! Join Our Team

 

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Select...
Select...
Select...

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in ITS Logistics, LLC’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Select...
Select...
Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Select...

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury
Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.