Associate Manager , Data Engineering
Cardinalhealth
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What engineering roles keep asking for: AWS (20%), Python (19%), System design (13%), Observability (12%) — counted across their open postings here.
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Cardinalhealth has 796 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for engineering roles keep coming back to AWS, Python, System design, Observability. Practise those questions before you sit with Cardinalhealth.
Questions you are likely to be asked
- Why do you want to join Cardinalhealth?
- What is your experience with Jira? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Associate Manager , Data Engineering at Cardinalhealth interview free →Role Own day-to-day delivery across data engineering, analytics and ML/AI. Accountable for delivery predictability, capacity planning and the reporting that goes to stakeholders. Line manager for the engineering team. Responsibilities Delivery across all three streams — commitments, sequencing, and a clear view of where work stands Backlog management and sprint planning; capacity tracking against available hours Agile facilitation: sprint cadence, board hygiene, flow discipline Jira configuration and dashboards — workflows, fields, JQL, reporting built hands-on Monthly performance reporting: throughput, cycle time, quality, capacity, effort mix Line management for 15–20 engineers — performance, development, retention Primary escalation point for delivery issues with stakeholders Required 10+ years in data engineering or analytics delivery, including 10+ managing engineers directly Hands-on Jira: workflows, custom fields, JQL, board and dashboard configuration. Able to build the reporting, not just request it Practical agile delivery — sprint mechanics, capacity planning, flow metrics Working knowledge of SQL, cloud data warehousing (BigQuery preferred) and pipeline development: enough to challenge an estimate and review a design Track record presenting delivery performance to senior stakeholders Preferred Data Engineering & ML delivery exposure, from requirement through production and retraining Jira Automation or advanced reporting configuration Appetite to go deeper technically — the data and AI landscape here moves quickly Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here
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Listed on workday · posted 2026-10-14. ApplySarthi collects openings and links to application pages; the role is advertised by Cardinalhealth, not by us.