{"id":2087719,"url":"https://alion.io/job/zebra-technologies-data-engineer-senior","title":"Data Engineer Senior","company":{"id":58915,"name":"Zebra Technologies","domain":"zebra.com","url":"https://alion.io/company/zebra-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":23,"ghost_share":0,"stale_share":0.913,"repost_share":0,"time_to_fill_p50_days":20,"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Apache Kafka","optional":true},{"name":"CI/CD","optional":true},{"name":"Collibra","optional":true},{"name":"dbt","optional":true},{"name":"GCP","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-10-08T13:07:07Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T22:59:03Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Overview:\nAt Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.\nBeing part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.\nYou’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally.\nCome make an impact every day at Zebra.\nWhat We're Looking For:\nWe are seeking a Senior Data Engineer to lead the technical direction of our data engineering practice while remaining deeply hands-on. This is a role for someone who has built and owned production data pipelines end-to-end, thrives on solving complex data architecture problems, and brings the leadership presence to guide and grow a team of engineers. We're looking for someone with a strong technical foundation, a positive and collaborative attitude, and a genuine curiosity to learn and adopt new technologies as the data landscape evolves - including staying current with the latest capabilities on both Databricks and Google BigQuery..What You'll Do\n\nLead the technical direction of the data engineering team - setting standards, guiding design decisions, and reviewing the team's work for quality and scalability\nDesign, build, and maintain new, scalable data pipelines to onboard and integrate data from a wide variety of source systems\nWork extensively within the Databricks platform, applying strong command of the medallion architecture (bronze, silver, gold layers) to build and evolve reliable, well-structured pipelines\nStay current with new Databricks capabilities (e.g., Unity Catalog, Delta Lake features, Delta Live Tables, Databricks SQL, workflow/orchestration updates) and proactively apply them to improve pipeline design, governance, and performance\nDesign and build new data models grounded in solid data fundamentals, including fact and dimension modeling\nOwn and optimize workloads in Google BigQuery, staying current with new BigQuery features (e.g., BQML, materialized views, storage/compute optimizations, new SQL capabilities) and applying them to improve performance, cost efficiency, and scalability\nWhat You'll Bring\n\n7-10 years of experience in data engineering, with a demonstrated track record of building and owning production-grade pipelines end-to-end\nProven experience leading a team on technical matters - architecture decisions, code reviews, and mentorship\nStrong, hands-on experience with the Databricks platform, including practical, working knowledge of the medallion (bronze/silver/gold) architecture and demonstrated awareness of new/evolving Databricks features\nStrong, hands-on experience with Google BigQuery, including demonstrated awareness and adoption of new BigQuery features\nHands-on proficiency in Python, SQL, and Git version control\nSolid grounding in data modeling fundamentals - facts, dimensions, and the ability to design new data models from the ground up\nDemonstrated ability to build pipelines across diverse and evolving source systems\nPreferred Qualifications\n\nBachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)\nCloud certification(s) - Databricks Certified Data Engineer, Google Cloud Professional Data Engineer, or equivalent\nExperience with orchestration/workflow tools (Airflow, Databricks Workflows, dbt)\nExperience with CI/CD for data pipelines (Git-based deployment, testing frameworks for data)\nExposure to streaming/near-real-time pipelines (Kafka, Pub/Sub, Structured Streaming)\nExperience with data governance, cataloging, and lineage tools (Unity Catalog, Collibra, etc.)\nExperience working in Agile/Scrum delivery environments\nPrior experience as a technical lead, team lead, or engineering manager (even informally)\nWhat Makes You a Great Fit\n\nA natural technical leader with a collaborative, can-do attitude\nGenuinely curious, with a strong appetite for learning and adopting new technologies as they emerge - on both Databricks and BigQuery, and the wider data ecosystem\nAn ownership mindset - you see pipelines and data models through from design to production, and take pride in getting the details right\n\nMentor and coach team members on technical best practices, pipeline design, and code quality\nContinuously evaluate emerging data engineering tools and technologies across the broader data ecosystem, and bring recommendations back to the team\nPartner closely with analytics, data science, and business stakeholders to translate requirements into robust, reliable data solutions\nBenefits:\nWe understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.\nJob Posting Statement:\nTo protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.\nAI Technology Statement:\nZebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.","description_format":"text","description_chars":6282,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-08T13:07:07Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":20,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/zebra-technologies-data-engineer-senior","json_url":"https://alion.io/job/zebra-technologies-data-engineer-senior.json","meta":{"generated_at":"2026-10-11T23:56:01Z","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":15333,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"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":58915},"rest":"https://alion.io/mcp/rest/get_company?id=58915"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzebra-technologies-data-engineer-senior"},{"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%2Fzebra-technologies-data-engineer-senior"},{"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%2Fzebra-technologies-data-engineer-senior"},{"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/zebra-technologies-data-engineer-senior\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzebra-technologies-data-engineer-senior"}]}