{"id":2834440,"url":"https://alion.io/job/carhartt-sr-data-engineer","title":"Sr. Data Engineer","company":{"id":1758705,"name":"Carhartt","domain":"carhartt.com","url":"https://alion.io/company/carhartt-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"A","score":89,"open_postings":7,"ghost_share":0,"stale_share":0.429,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dearborn, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":185000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1251},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-19T04:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-22T18:45:47Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Position Details: \nTitle: Sr. Data Engineer\nDepartment: Information Technology\nReports to: Sr. Manager, Data Engineering\nLocation: Dearborn, MI\nJob Classification: Remote\nFLSA Status: Exempt\nJob Band: Professional\nJob Summary \nThe primary responsibility of this position is to design, build, optimize, and support secure, reliable, and scalable enterprise data solutions. The Senior Data Engineer provides technical leadership for Azure Databricks and Lakehouse architecture, data pipeline design and orchestration, data modeling and performance optimization, cloud-native data platforms, data governance and quality, and AI/ML-ready data products. This role mentors engineers and collaborates across business, analytics, architecture, security, and application teams to deliver trusted data for reporting, advanced analytics, machine learning, and operational use.\nInspired by Hard Work\nAt Carhartt, the values of hard work—dependability, honesty, and trust—are rooted in the legacy of our founder, Hamilton Carhartt. His commitment to serving hardworking people continues to inspire everything we do. Guided by his legacy and our mission—We serve and protect all hardworking people by building durable products—we remain dedicated to upholding these principles in every decision we make and every product we create.\n\nAssociate Responsibilities\nDesign, develop, test, deploy, and support scalable batch and streaming data pipelines using Azure Databricks, Azure Data Factory, Python, PySpark, SQL, and related cloud-native services.\nDesign and evolve Lakehouse architecture using Delta Lake and Azure Data Lake Storage, including reusable data products and medallion-oriented data layers where appropriate.\nCreate and optimize conceptual, logical, dimensional, relational, and physical data models that are aligned with business meaning and analytical requirements.\nOptimize pipelines, SQL queries, clusters, storage layouts, and processing patterns for performance, reliability, scalability, and cost effectiveness.\nImplement orchestration, dependency management, scheduling, monitoring, logging, alerting, error handling, recovery, lineage, and observability for production data workloads.\nApply data governance and quality practices, including metadata, cataloging, validation, reconciliation, security, privacy, retention, and access controls.\nEngineer trusted, well-documented, and reusable datasets and features that support reporting, advanced analytics, data science, and AI/ML use cases.\nLead technical design discussions, establish engineering standards and reusable patterns, conduct code and design reviews, and document architecture decisions and tradeoffs.\nMentor data engineers through pairing, technical guidance, code reviews, troubleshooting, coaching, and clear documentation.\nPartner with business stakeholders, analysts, data scientists, product owners, architects, security teams, application teams, and vendors throughout the solution life cycle.\nApply software engineering practices including Git-based source control, automated testing, CI/CD, deployment automation, and infrastructure configuration.\nProvide advanced production support, root-cause analysis, corrective actions, and continuous improvement for complex data platform and pipeline incidents.\n\nRequired Education\nBachelor’s Degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical field or equivalent related experience.\nGraduate degree preferred.\nRequired Skills & Experience\nMinimum of 8 years of professional experience in data engineering, data warehousing, business intelligence, cloud data platforms, or a related field.\nDemonstrated experience designing, implementing, and supporting enterprise data solutions using Azure Databricks and Lakehouse architecture.\nAdvanced experience with data pipeline design and orchestration, including batch and streaming patterns, dependencies, scheduling, monitoring, and recovery.\nAdvanced SQL skills, including data modeling, query optimization, performance troubleshooting, and complex analytical transformations.\nProfessional experience with Python and distributed data processing frameworks such as PySpark.\nExperience with Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Unity Catalog, Azure DevOps, and related Microsoft Azure data platform services.\nExperience designing conceptual, logical, dimensional, relational, and physical data models for analytical and operational use.\nExperience optimizing cloud workloads for performance, scalability, reliability, and cost effectiveness.\nWorking knowledge of data governance, metadata, cataloging, lineage, data quality, security, privacy, retention, and access-control principles.\nExperience preparing trusted, governed, reusable, and well-documented data products that enable reporting, advanced analytics, data science, machine learning, generative AI, and future AI-driven business capabilities.\nExperience with Git-based development, code reviews, automated testing, CI/CD, and deployment automation.\nExperience integrating data from SAP, SAP Datasphere, APIs, files, events, product and master data platforms, and third-party enterprise systems.\nDemonstrated technical leadership through architecture and solution design, engineering standards and best practices, design reviews, mentoring, code reviews, reusable patterns, and technical guidance across delivery teams.\nExcellent verbal and written communication skills, including the ability to explain technical designs, risks, decisions, and tradeoffs to technical and business audiences.\nStrong cross-functional collaboration skills with business partners, analysts, data scientists, product owners, architects, security teams, and application teams.\nAbility to isolate complex problems, evaluate options, make practical decisions, and provide advanced production support during critical incidents.\nProfessional cloud or data engineering certification considered a plus.\n\nPhysical Requirements and Working Conditions\nNormal office environment. Extended periods of time sitting, standing, typing on a computer is required.\nWilling to work some weekends if necessary.\nThis position has a Remote location: Associate will have no regular requirement to be on-site. Travel on-site is limited to special events.\nCarhartt is a tobacco free workplace.","description_format":"text","description_chars":6370,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Apparel & Fashion Brands","Workwear & Uniforms"],"lifecycle":[{"event":"open","at":"2026-10-19T04:50:25Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":3,"green_card_filings_12m":0,"median_offered_wage_usd":112500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":50,"reasons":["conf:2","velocity","win:early"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/carhartt-sr-data-engineer","json_url":"https://alion.io/job/carhartt-sr-data-engineer.json","meta":{"generated_at":"2026-10-22T19:29:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2816,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1758705},"rest":"https://alion.io/mcp/rest/get_company?id=1758705"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcarhartt-sr-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcarhartt-sr-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcarhartt-sr-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/carhartt-sr-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcarhartt-sr-data-engineer"}]}