Data Engineer

Packsize International; Salt Lake City (UT); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) retirement plan

Paid Time Off

Health Savings Account (HSA)

Life and disability insurance

Employee assistance program

Job summary

Packsize is seeking a Data Engineer in Salt Lake City to design, build, and optimize scalable data pipelines and architectures. You’ll collaborate across teams to translate requirements into robust data solutions that power analytics and business growth.

You will implement ETL/ELT processes, work with a modern data stack (including Snowflake, Databricks, DOMO, Fabric), and drive data quality and governance, enabling trusted insights and scalable data platforms for decision making.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience in data engineering or related technical roles.
• 7+ years of experience in data engineering and analytics or data integration.
• Advanced proficiency in SQL for complex querying, optimization, and data transformation.
• Intermediate proficiency in Python for scripting, automation, and ETL development.
• Advanced dimensional modeling skills, with experience designing star schemas and semantic layers for analytics.
• Experience with metadata driven pipelines and data governance practices.
• Familiarity with data platforms such as DOMO, Databricks, Snowflake, Fabric.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures to support modern data analytics and integration needs.
• Build and optimize data models and semantic layers for efficient querying and reporting.
• Implement robust ETL/ELT processes using Python and SQL to ensure high-quality data delivery.
• Collaborate with analysts and stakeholders to translate requirements into technical solutions.
• Ensure data architecture performance, scalability, and maintainability.
• Develop and maintain data warehouses, data lakes, and integration pipelines.
• Identify and resolve data quality issues to ensure data integrity across systems.
• Work with engineers to support data-driven initiatives and insights.

Skills

Advanced SQL

Python

Data modeling

Dimensional modeling

Semantic layer design

Data governance

Data quality

Collaboration

Education

Bachelor’s degree in Computer Science/Info Systems/Engineering

Professional data engineering certifications (plus)

Tools

DOMO

Databricks

Snowflake

Fabric

Job description

## Data EngineerApplylocations: Packsize Salt Lake Citytime type: Full timeposted on: Posted 2 Days Agojob requisition id: R-100735**Job Description:**Job Description:About Packsize,Packsize is redefining the way businesses and their customers use and experience packaging around the world. We build the technology, design the right solutions, and automate the processes that propel the industry forward. To us, packaging is much more than a box—it’s delivering what’s right for our customers, their customers, our people, and the planet. Job Title: Data EngineerAbout the Role: We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this hands-on technical role, you will collaborate with cross-functional teams to gather requirements, architect scalable data solutions, and implement best-in-class data engineering practices. You will play a key role in advancing our data analytics capabilities, ensuring data is reliable, accessible, and aligned with business objectives.What You’ll do:* Design, develop, and maintain scalable data pipelines and architectures to support modern data analytics and integration needs.* Build and optimize data models, including advanced dimensional modeling and semantic layer design, to enable efficient querying and reporting.* Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high-quality data delivery.* Collaborate with business units, analysts, and stakeholders to gather requirements and translate them into technical solutions that drive measurable business value.* Ensure best-in-class implementation of data engineering solutions, focusing on performance, scalability, and maintainability.* Contribute to the development and maintenance of data warehouses, data lakes, and integration pipelines.* Proactively identify and resolve data quality issues, ensuring data integrity and consistency across systems.* Work closely with data analysts and other engineers to support data-driven initiatives and deliver actionable insights.* Stay current with industry trends and emerging tools to continuously improve data engineering practices.* Document technical designs, processes, and solutions to support team collaboration and knowledge sharing.What You’ll Bring:* Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience in data engineering or related technical roles.* 7+ years of experience in data engineering and analytics or data integration.* Expertise in modern data analytics, including building and optimizing data pipelines for near-real-time and batch processing.* Proven skills in data architecture, with a focus on designing scalable and efficient data systems.* Advanced proficiency in SQL for complex querying, optimization, and data transformation.* Intermediate proficiency in Python for scripting, automation, and ETL development.* Advanced dimensional modeling skills, with experience designing star schemas and semantic layers for analytics.* Expertise in building metadata driven pipelines, integrations, and methods for improving maintainability and reducing technical debt.* Experience in semantic layer design to support business intelligence tools and self-service analytics.* Strong collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.* Ability to gather requirements and translate them into technical solutions that align with business goals.* Self-driven and motivated, with a track record of delivering high-impact results and moving the needle for business value.* Experience with modern data platforms (e.g., DOMO, Databricks, Snowflake, Fabric) and tools.* Knowledge of data governance, data quality, and data integration best practices is a plus.* Professional certifications (e.g., Azure Data Engineer, AWS Certified Data Engineer, Google Cloud Professional Data Engineer) are a plus.Working Environment and Physical Demands:* Hybrid or onsite work environment preferred, with remote consideration based on candidate qualifications and company policy.* Occasional travel may be required for meetings and conferences.What We OfferPacksize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills.If this role excites you but you don’t meet each requirement listed, we encourage you to apply anyway. At Packsize, we welcome applicants of all backgrounds and experiences and understand that the best candidates may come from the most unlikely of places.Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilitiesPacksize considers several factors when determining compensation when extending a job offer, including but not limited to, the role being offered, the associated responsibilities, the candidate's prior work experience, education/training, and any special skills. At Packsize, we’re committed to supporting the health, well-being, and financial security of our team members. We offer a comprehensive benefits package that includes medical, dental, and vision coverage; a 401(k) retirement plan; Paid Time Off; Health Savings and Flexible Spending Accounts (HSA/FSA); and life and disability insurance. Additional voluntary benefits include critical illness, hospital indemnity, accident, and legal/ID theft protection. We also provide access to an Employee Assistance Program (EAP) to support your overall well-being.**Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities.**