{"id":2902826,"url":"https://alion.io/job/mcdonalds-data-engineer-iii","title":"Data Engineer III","company":{"id":678125,"name":"McDonald's","domain":"mcdonalds.com","url":"https://alion.io/company/mcdonalds-6","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":138207,"max":172758,"currency":"USD","period":"year","gross":null,"usd_annual":172758},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"JavaScript","optional":false},{"name":"Node JS","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-23T07:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-10-24T04:10:54Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Company Description:\nMcDonald’s is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald’s remains one of the world’s leading corporations after almost 70 years. Joining McDonald's means thinking big and preparing for a career that can have influence around the world.\nAt McDonald’s, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.\nDepartment Overview\nWe are seeking a highly skilled Data Engineer III to join the mCDP mParticle engineering team. This role is responsible for designing, developing, and maintaining customer data pipelines, audience-building capabilities, activation feeds, and platform integrations that power customer engagement experiences across digital and restaurant channels.The ideal candidate is a hands-on engineer with strong data engineering and analytics experience who can independently own initiatives from requirements through production deployment.\nThis engineer will partner closely with Product, MarTech, Analytics, and Engineering teams to translate complex business requirements into scalable technical solutions while ensuring reliability, quality, and maintainability across the customer data ecosystem.This role requires strong technical execution, problem-solving, and the ability to navigate ambiguity while delivering high-quality solutions with minimal oversight.\nDuties\nCustomer Data Engineering & Integration\n Design, develop, test, and support customer data pipelines that ingest, transform, enrich, and distribute customer data across the mParticle ecosystem.\nSupport onboarding of new data sources, attributes, customer events, and downstream activation integrations.\nAudience Engineering & Activation\n Build and maintain data pipelines that power audience segmentation, customer traits, profile enrichment, and activation use cases.Implement audience qualification and refresh logic supporting both batch and real-time use cases.\nConfigure and support activation feeds to downstream marketing and personalization platforms, ensuring data accuracy and timeliness.\nPartner with Product and MarTech teams to implement audience strategies including onboarding, re-engagement, loyalty, churn mitigation, and personalization use cases.\nReal-Time Data Processing\nBuild scalable solutions using technologies such as Kafka, Spark Structured Streaming, Flink, Dataflow, or equivalent distributed processing platforms.\nSupport event-driven integration patterns that enable low-latency customer activation and personalization scenarios.\nAssist with implementation and maintenance of eventing platforms such as Kafka, Confluent, or managed messaging services.\nData Quality & Operational Excellence\n Implement automated validation, reconciliation, and quality checks across customer data pipelines.\nMaintain documentation for data flows, mappings, business logic, and operational procedures.\nEngineering Delivery\n Independently manage and deliver complex engineering work items with minimal supervision.\nCollaborate with team members during sprint planning, solution design, testing, and deployment activities.\nPerform code reviews and contribute to engineering best practices across the team.\nQualifications\n5-8+ years of professional Data Engineering experience.\n3+ years working with cloud-native data platforms on GCP, AWS, or Azure.\nExpert-level SQL, including complex joins, window functions, optimization, and large-scale data analysis.\nStrong experience designing and developing ETL/ELT pipelines.\nStrong kwnoledg of programing languages such as Python, SQL, JavaScript or Node.js\nExperience with DevOps & Reliability - CI/CD pipelines, Git-base development workflows. \nExperience with streaming and data processing (Kafka, Spark/PySpark, Flink, Dataflow / Apache Beam)\nMust have:\nExperience supporting Customer Data Platforms such as mParticle, Segment, Adobe RTCDP, Braze, Tealium, or similar platforms.\nExperience implementing customer attributes, audience segmentation, identity resolution, traits, and activation feeds.\nExperience with GCP preferred (BigQuery, Pub/Sub, Dataflow, Cloud Run, Cloud Storage) \nCompensation\nBonus Eligible: Yes\nLong - Term Incentive: Yes\nBenefits Eligible: Yes\nSalary Range\nThe expected salary range for this role is $138,207.00 - $172,758.00 per year\nThe above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.\nAdditional Information:\nBenefits eligible: This position offers health and welfare benefits, including but not limited to comprehensive health insurance, which includes medical, prescription drug, mental health, dental and vision coverage, as well as, life insurance.\nBonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.\nLong term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald’s long-term incentive plan.\nMcDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact . Reasonable accommodations will be determined on a case-by-case basis.\nMcDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.\nNothing in this job posting or description should be construed as an offer or guarantee of employment.","description_format":"text","description_chars":7257,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Health insurance","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Catering & Food Services"],"lifecycle":[{"event":"open","at":"2026-10-20T06:58:19Z"}],"visa":[],"liveness":{"score":28,"band":"fade","label":"Fading","p_open":1,"p_active":0.632,"p_room":0.45,"age_days":31,"expected_fill_days":18,"reasons":["conf:25","velocity","win:tail","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":172758,"is_top_pay":true},"html_url":"https://alion.io/job/mcdonalds-data-engineer-iii","json_url":"https://alion.io/job/mcdonalds-data-engineer-iii.json","meta":{"generated_at":"2026-10-26T00:47:00Z","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":862,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":678125},"rest":"https://alion.io/mcp/rest/get_company?id=678125"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmcdonalds-data-engineer-iii"},{"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%2Fmcdonalds-data-engineer-iii"},{"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%2Fmcdonalds-data-engineer-iii"},{"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/mcdonalds-data-engineer-iii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmcdonalds-data-engineer-iii"}]}