{"id":1761134,"url":"https://alion.io/job/the-coca-cola-company-data-engineer-2","title":"Data Engineer","company":{"id":1889,"name":"The Coca-Cola Company","domain":"coca-colacompany.com","url":"https://alion.io/company/the-coca-cola-company","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":63,"ghost_share":0.016,"stale_share":0,"repost_share":0.159,"time_to_fill_p50_days":11,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":124600,"max":148200,"currency":"USD","period":"year","gross":null,"usd_annual":148200},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Embeddings","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Waterfall","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-14T08:15:15Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Job Description Summary:\nThe Senior Manager, Software Engineer, Data Platform & Segmentation is an individual contributor accountable for the technical vision, design, and evolution of data platforms and segmentation capabilities that power Customer and Commercial product teams operating under a modern Product Operating Model. This role is a hands-on technical engineering role for candidates with 3 to 6 years of experience in data and machine learning engineering.\nThe role emphasizes deep technical expertise, product partnership, and architecture, rather than people management.\nCore Accountabilities\nProduct Model & Discovery Partnership\nPartner closely with Product Managers, Designers, and Tech Leads to co-own outcomes, not just data assets. \nParticipate actively in product discovery to ensure segmentation strategies are technically feasible, scalable, and analytically sound. \nTranslate business and customer questions into durable data models and segmentation frameworks. \nData Platform & Segmentation Architecture\nAnalyze and integrate structured and unstructured data from enterprise platforms, customers, and external data providers. \nBuild scalable data preparation and feature engineering pipelines for ML applications. \nMachine Learning\nDevelop predictive and recommendation models using appropriate statistical and machine learning techniques. \nEvaluate and select appropriate approaches based on each use case, including: Classification and regression; ranking and recommendation; clustering and segmentation; time series and forecasting; gradient boosting and tree-based models; deep learning and transformers; computer vision embeddings; vector search. and RAG \nBuild reliable training and inference pipelines for batch and near-real-time use cases. \nDevelop APIs and services that expose model predictions to web, mobile, CRM, Salesforce, and other enterprise applications. \nEstablish rigorous model evaluation, testing, and validation practices. \nEngineering Execution & Data Quality\nBuild and maintain high-quality, production-grade data pipelines and services. \nEnsure strong standards for data quality, lineage, observability, and reliability. \nImplement MLOps pipelines covering training, testing, versioning, deployment, and model lifecycle management. \nMonitor production models for model performance, data quality, drift, and other operational issues. \nImplement appropriate retraining, rollback, and model versioning strategies. \nTroubleshoot issues across data pipelines, models, inference services, APIs, and production environments. \nCreate reusable ML components and patterns that can support multiple Transaction Growth use cases. \nParticipate in architecture reviews, code reviews, and engineering design discussions. \nMicrosoft Azure Data Platform & Fabric Expertise\nDesign and evolve segmentation and data platform architectures leveraging Azure Data Fabric concepts, ensuring interoperability, governance, and reuse across domains. \nApply strong architectural judgment across core Azure data products, including data ingestion, storage, processing, analytics, and activation layers. \nOptimize designs across cost, performance, latency, and scalability, using Azure-native capabilities and patterns. \nEnsure secure-by-design implementations aligned with Azure identity, access, encryption, and compliance controls. \nPartner with enterprise architecture, cloud, and security teams to ensure Azure data platform decisions align with broader enterprise strategy while preserving team autonomy. \nStay current on Azure data platform evolution and proactively assess new capabilities for business value, not novelty. \nBusiness Partnership & Communication\nServe as a trusted technical partner to Customer and Commercial stakeholders. \nCommunicate segmentation concepts, assumptions, and limitations in clear business language. \nProactively surface data constraints, privacy considerations, and trade-offs to enable informed decisions. \nSupport external partner and vendor conversations as a technical authority when needed. \nGovernance, Privacy & Compliance\nEnsure segmentation approaches comply with data privacy, consent, and regulatory requirements. \nCollaborate with Security, Privacy, and Legal teams to embed governance into platform design-not bolt it on later. \nAdvocate for responsible and ethical use of customer and commercial data. \nSuccess Measures\nSegmentation capabilities measurably improve customer engagement and commercial outcomes. \nReduced duplication and inconsistency in segmentation logic across products. \nImproved data quality, freshness, and trustworthiness. \nFaster time to insight and activation for product teams. \nPlatforms and models that scale with growth while controlling cost and risk. \nRequired Experience & Capabilities\nBachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience. \n3+ years of hands-on experience in data platform, analytics engineering, or backend engineering roles. \nStrong programming experience with Python or common data and ML libraries. \nExperience developing production machine learning models using frameworks such as scikit-learn, PyTorch, TensorFlow, XGBoost, or equivalent. \nStrong understanding of supervised and unsupervised learning, model selection, feature engineering, and statistical modeling. \nExperience preparing large datasets for machine learning, including cleansing, transformation, feature generation,n and quality validation. \nStrong SQL skills and experience working with large enterprise datasets. \nExperience designing training, evaluation,n and inference pipelines. \nExperience deploying machine learning models into production environments. \nPractical understanding of MLOps, including experiment tracking, model versioning, CI/CD, automated testing, deployment and monitoring. \nExperience developing or integrating APIs and services used for model inference. \nStrong software engineering practices including modular design, source control, code review, automated testing, ing and production debugging. \nExperience working with cloud-based data and ML platforms. \nAbility to assess multiple modeling approaches and select the simplest solution that meets the business objective. \nStrong communication skills and the ability to collaborate with product managers, business stakeholders, software engineers, and data teams \nThe Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.\nSkills:\nAgile Methodology, Business Requirements, Communication, Computer Programming, Configuring (Inactive), Data Analysis, Financial Processing, Information Systems, Software Development, Structured Query Language (SQL), Systems Analysis, Systems Development Lifecycle (SDLC), Teamwork, Test Environments, Troubleshooting, Waterfall Model, Workflow ManagementPay Range:\nUnited States: 124,600 - 148,200 USD\nBase pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.\nAnnual Incentive Reference Value Percentage:\n15Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.\nLocation(s):\nUnited States of AmericaCity/Cities:\nAtlantaTravel Required:\n00% - 25%Relocation Provided:\nYesJob Posting End Date:\nOctober 14, 2026Our Purpose and Growth Culture:\nWe are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.\nWe are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.","description_format":"text","description_chars":8962,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Food & Beverages"],"lifecycle":[{"event":"open","at":"2026-10-03T12:43:41Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 4 · green card filings: 2","filings_12m":4,"filings_prev_12m":17,"green_card_filings_12m":2,"median_offered_wage_usd":122500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":3}],"liveness":{"score":39,"band":"fade","label":"Fading","p_open":1,"p_active":0.705,"p_room":0.55,"age_days":12,"expected_fill_days":11,"reasons":["conf:4","velocity","win:tail","comp:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":148200,"is_top_pay":true},"html_url":"https://alion.io/job/the-coca-cola-company-data-engineer-2","json_url":"https://alion.io/job/the-coca-cola-company-data-engineer-2.json","meta":{"generated_at":"2026-10-14T11:55:45Z","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":14431,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":1889},"rest":"https://alion.io/mcp/rest/get_company?id=1889"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthe-coca-cola-company-data-engineer-2"},{"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%2Fthe-coca-cola-company-data-engineer-2"},{"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%2Fthe-coca-cola-company-data-engineer-2"},{"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/the-coca-cola-company-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthe-coca-cola-company-data-engineer-2"}]}