{"id":1940082,"url":"https://alion.io/job/milwaukee-tool-sr-data-engineer","title":"Sr Data Engineer","company":{"id":4070,"name":"Milwaukee Tool","domain":"milwaukeetool.com","url":"https://alion.io/company/milwaukee-tool","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Menomonee Falls, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":111000,"max_usd":214000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":960},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-09T21:52:43Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Job Description:\nCome be DISRUPTIVE with us!At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success -- so we give you unlimited access to everything you need to create innovative new solutions on our engineering team. As a Sr. Data Engineer, you will design, build, and support scalable data solutions that enable faster, more reliable decision-making across engineering, test lab, and product development operations. You will partner with cross-functional teams to transform raw data into trusted, governed, analytics-ready data products through modern data pipelines, cloud platforms, data modeling, and data quality practices.\nYou must be permanently eligible to work in the U.S. without sponsorship for this position.\nDuties and Responsibilities\naDesign, develop, and maintain scalable data pipelines, data models, and data integration solutions that support engineering and test operations.\n\nBuild reliable ETL/ELT processes to ingest, transform, validate, and deliver data from multiple source systems into analytics-ready environments.\n\nPartner with engineering, lab operations, IT, analytics, and business stakeholders to understand data needs and translate them into technical solutions.\n\nEstablish and maintain data quality checks, validation rules, and monitoring processes to ensure trusted and accurate data.\n\nDevelop and optimize data warehouses, data lakes, and cloud-based data platforms for performance, reliability, and scalability.\n\nCreate reusable data assets, curated datasets, and documentation that enable self-service reporting, analytics, and operational visibility.\n\nCollaborate with software developers and IT teams on secure data architecture, system integrations, source control, deployment, and development best practices.\n\nTranslate business strategy and operational needs into technical data solutions that improve efficiency, quality, and speed of decision-making.\n\nMonitor pipeline performance, troubleshoot production issues, and proactively improve data reliability, observability, and maintainability.\n\nMentor team members on data engineering standards, coding practices, documentation, and data governance principles.\n\nAdhere to timelines and excel in a fast-paced, high-energy environment while balancing technical excellence with practical business impact.\n\nQualifications\nBachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, or a related technical field; equivalent experience may be considered.\n\n5+ years of experience in data engineering, software engineering, analytics engineering, or related technical roles.\n\nStrong proficiency in SQL and at least one programming language such as Python, C#, Java, or Scala.\n\nExperience designing and supporting ETL/ELT pipelines, data warehouses, data lakes, relational databases, and cloud-based data platforms.\n\nExperience working in cloud environments such as Azure or AWS, including data storage, compute, orchestration, and security concepts.\n\nWorking knowledge of data modeling, database design, data integration patterns, APIs, and scalable system architecture.\n\nFamiliarity with modern data engineering tools and practices such as Spark, Databricks, Airflow,dbt,Fabric, or automated testing.\n\nStrong understanding of data quality, data governance, data security, documentation, and operational monitoring practices.\n\nAbility to understand complex business processes, create process maps, and translate operational workflows into data solutions.\n\nStrong analytical, problem-solving, and communication skills with the ability to influence technical decisions across cross-functional teams.\n\nMilwaukee Tool is an equal opportunity employer.","description_format":"text","description_chars":3717,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Tools & DIY Supplies"],"lifecycle":[{"event":"open","at":"2026-10-06T02:14:24Z"}],"visa":[],"liveness":{"score":76,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.846,"p_room":0.9,"age_days":11,"expected_fill_days":29,"reasons":["conf:3","velocity","win:mid","comp:brand"],"computed_at":"2026-10-09T06:01:00Z"},"pay":null,"html_url":"https://alion.io/job/milwaukee-tool-sr-data-engineer","json_url":"https://alion.io/job/milwaukee-tool-sr-data-engineer.json","meta":{"generated_at":"2026-10-10T01:28:12Z","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","counted_by":"address","units_charged":1,"used_today":2626,"day_limit":5000,"remaining_today":2374,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"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":4070},"rest":"https://alion.io/mcp/rest/get_company?id=4070"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmilwaukee-tool-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%2Fmilwaukee-tool-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%2Fmilwaukee-tool-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/milwaukee-tool-sr-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmilwaukee-tool-sr-data-engineer"}]}