MJ Holding Company, LLC · 4 hours ago
Data Engineer
Bridgeview, IL
Full-time
Onsite
Entry, Mid Level
2+ years expMJ Holding Company, LLC is seeking a Data Engineer to join their data team. The role involves designing, building, and maintaining reliable data pipelines and reporting solutions to support the organization's data warehouse and analytics needs.
Consumer Goods
Responsibilities
Develop, maintain, and optimize ELT/ETL pipelines using tools such as Apache Airflow, dbt, or cloud-native services (e.g., AWS Glue, Azure Data Factory)
Support the design and implementation of data warehouse and analytics solutions in platforms like Snowflake, BigQuery, or Databricks
Assist with building and maintaining data models and structures (dimensional/star schemas, denormalized tables) to support reporting and analysis
Help implement and follow data governance practices to ensure accuracy, consistency, and security
Monitor data quality and apply validation, cleansing, and profiling techniques using tools like dbt tests, Great Expectations, or Python scripts
Collaborate with business stakeholders to gather reporting and analytics requirements
Translate business needs into semantic models, KPIs, and dashboards in tools like Power BI or Tableau
Ensure data warehouse structures are optimized for self-service BI and ad hoc analysis
Perform SQL development and optimization for queries, stored procedures, and transformations
Troubleshoot and resolve data and pipeline issues
Document data processes, flows, and business logic to ensure solutions are well understood and maintainable
Work closely with analysts, developers, and business stakeholders to understand requirements and deliver solutions that meet their needs
Stay current with data engineering practices and tools to continuously improve team efficiency
Qualification
Required
Develop, maintain, and optimize ELT/ETL pipelines using tools such as Apache Airflow, dbt, or cloud-native services (e.g., AWS Glue, Azure Data Factory)
Support the design and implementation of data warehouse and analytics solutions in platforms like Snowflake, BigQuery, or Databricks
Assist with building and maintaining data models and structures (dimensional/star schemas, denormalized tables) to support reporting and analysis
Help implement and follow data governance practices to ensure accuracy, consistency, and security
Monitor data quality and apply validation, cleansing, and profiling techniques using tools like dbt tests, Great Expectations, or Python scripts
Collaborate with business stakeholders to gather reporting and analytics requirements
Translate business needs into semantic models, KPIs, and dashboards in tools like Power BI or Tableau
Ensure data warehouse structures are optimized for self-service BI and ad hoc analysis
Perform SQL development and optimization for queries, stored procedures, and transformations
Troubleshoot and resolve data and pipeline issues
Document data processes, flows, and business logic to ensure solutions are well understood and maintainable
Work closely with analysts, developers, and business stakeholders to understand requirements and deliver solutions that meet their needs
Stay current with data engineering practices and tools to continuously improve team efficiency
Strong technical ability with SQL, scripting languages (e.g., Python), and cloud data tools
Detail-oriented with good organizational skills
Ability to communicate effectively with technical and non-technical stakeholders
Problem-solving mindset with the ability to manage multiple tasks
Team player with a proactive and flexible approach
Comfort with version control (e.g., Git) and collaborative development practices
Bachelor's degree in computer science, Engineering, Data Science, or related field
2–4 years of experience in data engineering or related role
Hands-on experience building and maintaining data pipelines and working with modern data platforms (e.g., Snowflake, Azure SQL, BigQuery)
Proficiency in SQL and experience with performance tuning
Exposure to data modeling and data warehousing concepts
2+ years hands-on experience developing dashboards and data models in BI tools (e.g., Power BI, Tableau), including DAX/MDX, calculated fields, and performance optimization
Familiarity with ETL/ELT tools (SSIS, dbt, Airflow, or cloud-native equivalents)
Experience working directly with business stakeholders to translate requirements into BI solutions
Strong understanding of dimensional modeling and how it supports BI/analytics
Preferred
Experience with cloud environments (AWS, Azure, or Google Cloud)
Knowledge of data governance, quality, and cataloging practices
Industry experience in retail distribution, category management, or a similar domain is a plus
Benefits
Competitive salary and benefits package
Opportunities for professional growth, career development, and ongoing training
Collaborative, innovative, and supportive work environment
Access to modern tools and technologies in the data space
Chance to work on impactful projects shaping the future of the organization
Company
MJ Holding Company, LLC
MJ Holding Company is a consumer goods company offering impulse toys and trading card supplies.
51-200 employees
H1B Sponsorship
MJ Holding Company, LLC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2020 (2)
Funding
Current Stage
Growth StageLeadership Team
Trisha Rosado
Chief Financial Officer
Company data provided by crunchbase