{"id":50676,"url":"https://alion.io/job/madison-logic-sr-data-engineer","title":"Sr. Data Engineer","company":{"id":11772,"name":"Madison Logic","domain":"madisonlogic.com","url":"https://alion.io/company/madison-logic","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":60,"open_postings":12,"ghost_share":0.667,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-12-30T15:29:32Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-12T02:11:35Z","board_verified":true,"closed_at":null,"days_open":285,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":284},"description":"Our Blueprint (Company Overview)\n\nAt Madison Logic, we turn buyer uncertainty into confident action. Using data-driven insights and strategic expertise, we help marketers align every decision-maker, in every buying group, at every stage of the journey. We meet buyers wherever they are, navigating today’s non-linear decision paths to keep marketers ahead. By combining data-rich strategy with multi-channel activation, we show B2B marketers and their agency partners not just what works, but why it works, so growth is accelerated with clarity and purpose.\n“When ambitious marketers connect with their most elusive buyers to achieve ambitious growth targets, something extraordinary happens.”\n“It’s not magic. It’s not just logic. It’s Madison Logic.”\n\nBuilt for Belonging (Why You'll Love Working Here)\nHere’s why you’ll love working here:\nAccess to competitive compensation & benefits that reward your contributions.\nParticipation in employee recognition programs to celebrate achievements big and small.\nExposure to professional development & learning initiatives to help you build your own path.\nFoundation built on values anchored in Accountability, Team, Urgency, Respect, Integrity, and Innovation.\nOpportunities for global exposure work alongside talented colleagues across India, Singapore, the UK, and the US, expanding your perspective and network.\nInvitations to yearly team offsites to connect, collaborate, and strengthen relationships in person.\nLeverage a lifestyle spending account benefit so you can choose your own wellness and work-from-home perks.Benefits and perks vary based on employment status, location, and eligibility.\n\nOur commitment to you:\nOur aspiration: A culture where every person feels confident navigating their unique path and inspired to grow every step of the way.\nOur support: Meeting you where you are, empowering your growth with clarity, support, and purpose.\nOur promise: Your growth is yours to lead, but never a journey you take alone.\nDriven to Deliver (What You'll Do)\nDevelop and maintain the core data pipelines, involving the creation of production-level SQL and Python code to fuel our platforms.\nAdapt and enhance data models and data schemas to align with both business and engineering requirements.\nConduct data analysis to contribute to the enhancement of overall business performance.\nIdentify and select optimal data sources for specific analytical tasks.\nEstablish procedures for data mining, data modeling, and data production.\nCollaborate with internal and external partners to address challenges and ensure successful outcomes.\nEquipped to Excel (Qualifications)\nEducational Background: Possess a Bachelor's degree in computer science, statistics, or mathematics.\nProgramming Expertise: 5+ years of experience with Python, with the ability to write production-level code.\nSQL Proficiency: 5+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models.\nCloud Computing: 3+ years of hands-on experience with cloud computing services, particularly AWS (Amazon Web Services).\nData Architecture: Proven experience in designing data architectures, including Kafka, Data Warehouses and Operational Data Stores (ODS).\nCloud-Based Analytics: Possess a strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker.\nData Workflow Management: Ideally, possess at least 1 year of experience with data workflow management tools, with Airflow experience being a plus.\nData Cleaning: Be skilled in data cleaning and standardization processes.\nSQL Engine: Exhibit an excellent understanding of SQL engines and the capability to perform advanced performance tuning.\nDistinct by Design (What Sets You Apart)\nSelf-Sufficient and proactive nature, able & comfortable \"figuring things out\", resorting to escalation only when after exhausting all other options\nExceptional communication skills, both verbal and written, with a knack for explaining complex concepts in a clear & concise manner across all levels and functions\nTeam members are encouraged to work collaboratively with an emphasis on results, not on hierarchy or titles.\nYour Next Chapter\nIf you’re excited about helping clients succeed, love the idea of working at the forefront of marketing innovation, and want to be part of a team where integrity, respect, innovation, urgency, and accountability aren’t just words - they’re how we show up every day - then let’s talk.\nWork Environment:\nWe offer a mix of remote and hybrid working. Remote work arrangements are not available for all positions. Hybrid work is required for employees local to our offices. Where applicable, hybrid WFH days work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. WFH requires availability and responsiveness on a full-time basis from a distraction free environment with access to high-speed internet. Please inquire for more details.\nPay Transparency/Equity:\nWe are committed to paying our team equitably for their work, commensurate with their individual skills and experience. Salary Range and additional compensation, including discretionary bonuses and incentive pay, are determined by a rigorous review process taking into account the experience, education, certifications and skills required for the specific role, equity with similarly situated team members, as well as employer-verified region-specific market data provided by an independent 3rd party partner.\nWe will provide more information about our perks & benefits upon request.\nOur Commitment to Diversity & Inclusion:\nMadison Logic is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of sex, race, color, religion, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.\nPrivacy Disclosure:\nAll of the information collected in this form and/or by your application by submission of your online profile is necessary and relevant to the performance of the job applied for. We will process the information provided by you in this form, your CV (including physical and online resume profiles), by the referees you have noted, and by the educational institutions with whom we may undertake to verify your qualifications with, in accordance with our privacy policy and for recruitment purposes only. \nFor more information on how we process the information you have provided including relevant lawful bases (where relevant) please see our privacy policy which is available on our website (https://www.madisonlogic.com/privacy/).","description_format":"text","description_chars":6636,"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":["Equity","Home office","Hybrid work","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"India","iso":"IN","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Sales Enablement","Marketing Automation","Lead Generation","Digital Marketing"],"lifecycle":[{"event":"open","at":"2025-12-30T15:29:32Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.251,"p_room":0.28,"age_days":283,"expected_fill_days":45,"reasons":["conf:0","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/madison-logic-sr-data-engineer","json_url":"https://alion.io/job/madison-logic-sr-data-engineer.json","meta":{"generated_at":"2026-10-12T04:02:30Z","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":6312,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":11772},"rest":"https://alion.io/mcp/rest/get_company?id=11772"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmadison-logic-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%2Fmadison-logic-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%2Fmadison-logic-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/madison-logic-sr-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmadison-logic-sr-data-engineer"}]}