{"schemaVersion":"jobsearcher.job.v1","id":"47523b9b56acc5feb6e20fe2","url":"https://jobsearcher.com/jobs/47523b9b56acc5feb6e20fe2","canonicalUrl":"https://jobsearcher.com/jobs/47523b9b56acc5feb6e20fe2","title":"Data Engineer","description":"Description:\n\nJoin the Leader in Trading Cards!\n\nMJ Holding Company, LLC is largest distributor of sports trading cards and trading card games like Magic: The Gathering and Pokémon—and we’re growing fast. Our success comes from passionate people who love what they do. At MJH, you’ll find a team that’s enthusiastic about the products we distribute, proud of the culture we’ve built, and committed to our success. If you’re driven and excited about the world of trading cards, we want you on our team!\nThe Data Engineer is a core technical leader within the data team, responsible for the design, architecture, and delivery of scalable, reliable data platforms that power the organization’s data warehouse, analytics, and business intelligence initiatives. This role goes beyond hands-on development to include data architecture, solution design, technical direction, and mentorship. The Data Engineer partners closely with forecasting, application development, and business stakeholders to ensure the data ecosystem supports current and future business needs.\nRequirements:\n\nEssential Duties and Responsibilities\nData Architecture & Design\nDesign and evolve the organization’s data architecture, including ingestion patterns, transformation layers, semantic models, and consumption frameworks.\nLead architectural decisions for data warehousing and analytics platforms such as Snowflake, Databricks, BigQuery, or similar technologies.\nDefine and enforce standards for data modeling, naming conventions, schema design, and performance optimization.\nEvaluate and recommend tools, technologies, and architectural patterns that align with scalability, reliability, and cost efficiency goals.\nData Engineering & Platform Development\nDesign, build, and optimize robust ELT/ETL pipelines using tools such as dbt, Apache Airflow, and cloud-native services (e.g., Azure Data Factory).\nOwn end-to-end pipeline reliability, including orchestration, monitoring, alerting, and failure recovery.\nDevelop and optimize complex SQL transformations, stored procedures, and performance-critical queries.\nImplement scalable data processing solutions that support both batch and incremental/near-real-time use cases.\nData Modeling, Analytics & BI Enablement\nLead the design of enterprise data models, including dimensional (star/snowflake) and curated analytical models.\nPartner with analytics and business teams to translate requirements into semantic models, KPIs, and certified datasets.\nEnsure the data warehouse is optimized for self-service BI, ad hoc analysis, and dashboard performance in tools such as Power BI or Tableau.\nProvide technical guidance on BI performance tuning, DAX/MDX best practices, and data usage patterns.\nData Quality, Governance & Security\nDefine and implement data quality frameworks, including validation, testing, and anomaly detection using tools such as dbt tests, Great Expectations, and custom Python solutions.\nSupport data governance initiatives by helping establish data ownership, documentation, lineage, and access controls.\nEnsure data solutions adhere to security, privacy, and compliance requirements.\nLeadership, Collaboration & Mentorship\nServe as a senior technical resource and mentor junior data engineers and analysts.\nLead technical design discussions, architectural reviews, and documentation efforts.\nCollaborate cross-functionally with business stakeholders, product teams, and engineering partners to deliver well-designed data solutions.\nInfluence data strategy and roadmap planning by providing architectural insight and trade-off analysis.\nQualifications\nCompetencies\nCandidate must be able to be on-site in Bridgeview, IL to learn about the operation and business for ~ 6 months and can then transition to a hybrid office role.\nAbility to communicate complex technical concepts to both technical and non-technical stakeholders.\nProven analytical, problem-solving, and system-thinking mindset.\nExperience working in collaborative, version-controlled environments using ITIL practices.\nSelf-directed, proactive, and comfortable owning ambiguous or complex problem spaces.\nEducation\nBachelor’s degree in Computer Science, Engineering, Data Science, or a related field.\nExperience\nProven experience leading the design and evolution of data architectures (data warehouses, lakehouse, streaming, batch pipelines).\nAbility to guide architectural decisions related to scalability, performance, security, and cost.\nKnowledgeable in data warehouses and analytics platforms in Snowflake, Azure SQL, Databricks, BigQuery, or similar technologies.\nExpert-level SQL skills and strong proficiency with Python or similar scripting languages.\nAdvanced experience with data modeling, including dimensional and analytical models.\nStrong background in performance tuning, query optimization, and large-scale data transformation.\nPreferred Qualifications\nExperience working with large-scale data lakes or similarly complex, high-volume data environments, including the design, optimization, and governance of structured and semi-structured data.\nFamiliarity with data governance, data catalogs, metadata management, and data quality frameworks.\nPrior experience in retail distribution, category management, or a similar industry is a plus.\nExperience mentoring engineers or acting as a technical lead on data initiatives.\n\nTOTAL REWARDS\nMJ Holding Company provides a competitive compensation package, including annual merit increases and bonus based on company and individual performance. In addition, the company offers comprehensive benefits options including medical, dental, vision coverage, disability insurance, health savings and flexible spending accounts. To help save for the future, all employees are eligible for a 401(k) match of 100% on the first 3% and 50% for the next 2% of your contribution. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, the CALM app, and access to a wellness professional. We offer various types of paid time off including vacation, salary continuance, and country specific holidays. We also prioritize recognizing employee milestones including life events and service anniversaries.","company":"Mjholding","rawCompany":"mjholding","city":"Bridgeview","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-07-19T13:42:44.455Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Description:\n\nJoin the Leader in Trading Cards!\n\nMJ Holding Company, LLC is largest distributor of sports trading cards and trading card games like Magic: The Gathering and Pokémon—and we’re growing fast. Our success comes from passionate people who love what they do. At MJH, you’ll find a team that’s enthusiastic about the products we distribute, proud of the culture we’ve built, and committed to our success. If you’re driven and excited about the world of trading cards, we want you on our team!\nThe Data Engineer is a core technical leader within the data team, responsible for the design, architecture, and delivery of scalable, reliable data platforms that power the organization’s data warehouse, analytics, and business intelligence initiatives. This role goes beyond hands-on development to include data architecture, solution design, technical direction, and mentorship. The Data Engineer partners closely with forecasting, application development, and business stakeholders to ensure the data ecosystem supports current and future business needs.\nRequirements:\n\nEssential Duties and Responsibilities\nData Architecture & Design\nDesign and evolve the organization’s data architecture, including ingestion patterns, transformation layers, semantic models, and consumption frameworks.\nLead architectural decisions for data warehousing and analytics platforms such as Snowflake, Databricks, BigQuery, or similar technologies.\nDefine and enforce standards for data modeling, naming conventions, schema design, and performance optimization.\nEvaluate and recommend tools, technologies, and architectural patterns that align with scalability, reliability, and cost efficiency goals.\nData Engineering & Platform Development\nDesign, build, and optimize robust ELT/ETL pipelines using tools such as dbt, Apache Airflow, and cloud-native services (e.g., Azure Data Factory).\nOwn end-to-end pipeline reliability, including orchestration, monitoring, alerting, and failure recovery.\nDevelop and optimize complex SQL transformations, stored procedures, and performance-critical queries.\nImplement scalable data processing solutions that support both batch and incremental/near-real-time use cases.\nData Modeling, Analytics & BI Enablement\nLead the design of enterprise data models, including dimensional (star/snowflake) and curated analytical models.\nPartner with analytics and business teams to translate requirements into semantic models, KPIs, and certified datasets.\nEnsure the data warehouse is optimized for self-service BI, ad hoc analysis, and dashboard performance in tools such as Power BI or Tableau.\nProvide technical guidance on BI performance tuning, DAX/MDX best practices, and data usage patterns.\nData Quality, Governance & Security\nDefine and implement data quality frameworks, including validation, testing, and anomaly detection using tools such as dbt tests, Great Expectations, and custom Python solutions.\nSupport data governance initiatives by helping establish data ownership, documentation, lineage, and access controls.\nEnsure data solutions adhere to security, privacy, and compliance requirements.\nLeadership, Collaboration & Mentorship\nServe as a senior technical resource and mentor junior data engineers and analysts.\nLead technical design discussions, architectural reviews, and documentation efforts.\nCollaborate cross-functionally with business stakeholders, product teams, and engineering partners to deliver well-designed data solutions.\nInfluence data strategy and roadmap planning by providing architectural insight and trade-off analysis.\nQualifications\nCompetencies\nCandidate must be able to be on-site in Bridgeview, IL to learn about the operation and business for ~ 6 months and can then transition to a hybrid office role.\nAbility to communicate complex technical concepts to both technical and non-technical stakeholders.\nProven analytical, problem-solving, and system-thinking mindset.\nExperience working in collaborative, version-controlled environments using ITIL practices.\nSelf-directed, proactive, and comfortable owning ambiguous or complex problem spaces.\nEducation\nBachelor’s degree in Computer Science, Engineering, Data Science, or a related field.\nExperience\nProven experience leading the design and evolution of data architectures (data warehouses, lakehouse, streaming, batch pipelines).\nAbility to guide architectural decisions related to scalability, performance, security, and cost.\nKnowledgeable in data warehouses and analytics platforms in Snowflake, Azure SQL, Databricks, BigQuery, or similar technologies.\nExpert-level SQL skills and strong proficiency with Python or similar scripting languages.\nAdvanced experience with data modeling, including dimensional and analytical models.\nStrong background in performance tuning, query optimization, and large-scale data transformation.\nPreferred Qualifications\nExperience working with large-scale data lakes or similarly complex, high-volume data environments, including the design, optimization, and governance of structured and semi-structured data.\nFamiliarity with data governance, data catalogs, metadata management, and data quality frameworks.\nPrior experience in retail distribution, category management, or a similar industry is a plus.\nExperience mentoring engineers or acting as a technical lead on data initiatives.\n\nTOTAL REWARDS\nMJ Holding Company provides a competitive compensation package, including annual merit increases and bonus based on company and individual performance. In addition, the company offers comprehensive benefits options including medical, dental, vision coverage, disability insurance, health savings and flexible spending accounts. To help save for the future, all employees are eligible for a 401(k) match of 100% on the first 3% and 50% for the next 2% of your contribution. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, the CALM app, and access to a wellness professional. We offer various types of paid time off including vacation, salary continuance, and country specific holidays. We also prioritize recognizing employee milestones including life events and service anniversaries.","datePosted":"2026-07-19T13:42:44.455Z","dateModified":"2026-07-19T13:42:44.455Z","hiringOrganization":{"@type":"Organization","name":"Mjholding","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bridgeview","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"47523b9b56acc5feb6e20fe2"},"url":"https://jobsearcher.com/jobs/47523b9b56acc5feb6e20fe2"}}