{"id":52449,"url":"https://alion.io/job/qualcomm-data-engineer-staff","title":"Data Engineer, Staff","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":71,"open_postings":1087,"ghost_share":0.231,"stale_share":0.14,"repost_share":0.453,"time_to_fill_p50_days":74,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Diego, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":133600,"max":200400,"currency":"USD","period":"year","gross":null,"usd_annual":200400},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"SQL","optional":false},{"name":"Fivetran","optional":true},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-04-01T00:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-24T07:25:39Z","board_verified":true,"closed_at":null,"days_open":206,"trust":{"level":"ghost","repost_count":3,"flags":["repost"],"days_open":206},"description":"Company:\nQualcomm IncorporatedJob Area:\nInformation Technology Group, Information Technology Group > IT Data Engineer General Summary:\nWe are seeking a Staff Data Engineer to design, build, and operate a modern, scalable data platform with Databricks Lakehouse as a core foundation.\nIn this role, you will focus on building reusable data frameworks, shared platform components, and standardized pipelines that enable teams to deliver data products efficiently and consistently. Your work will support analytics, reporting, and downstream advanced use cases (including AI and machine learning), with a strong emphasis on reliability, governance, developer productivity, and intelligent automation.\nThis is a hands-on role with meaningful ownership across data engineering, framework development, AI-driven automation, platform reliability, security, and cost management, while contributing to architectural decisions and data standards.\nThis role requires full-time onsite work in San Diego, CA (5 days per week).\n**This position is not eligible for Qualcomm immigration sponsorship.**\n Minimum Qualifications:\n• 5+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field.OR\n7+ years of IT-related work experience without a Bachelor’s degree.\n3+ years of work experience with programming (e.g., Java, Python).\n3+ years of work experience with SQL or NoSQL Databases.\n• 3+ years of work experience with Data Structures and algorithms.\nWhat You’ll Do\nData Engineering, Frameworks & AI-Driven Automation\nDesign, build, and maintain scalable batch and streaming data pipelines\n\nDevelop reusable data engineering frameworks, libraries, and templates for ingestion, transformation, validation, and publishing\n\nEstablish standardized patterns for data modeling, transformations, and pipeline orchestration\n\nImplement end-to-end data workflows from raw ingestion to curated analytical datasets\n\nLeverage AI-based techniques to automate and optimize data engineering workflows, such as:\nIntelligent schema inference and evolution\n\nAutomated data quality checks and anomaly detection\n\nPipeline failure detection and self-healing mechanisms\n\nEnsure data quality, reliability, and performance across pipelines and shared frameworks\n\nSupport downstream consumers such as analytics, reporting, and AI/ML teams\n\nReliability, Operations & Intelligent Automation\nDefine and monitor SLIs/SLOs for data pipelines, frameworks, and platform availability\n\nParticipate in incident response, on-call rotations, and post-incident reviews\n\nApply AI-assisted monitoring and alerting to proactively detect performance issues, data drift, and operational anomalies\n\nImplement security, compliance, and data governance controls across shared data assets\n\nDrive performance tuning and cost optimization, including automated recommendations for resource utilization and workload optimization\n\nCollaboration & Technical Leadership\nPartner with analytics, application, and platform teams to understand common data needs and platform gaps\n\nDrive adoption of standardized data frameworks, automation patterns, and best practices across teams\n\nContribute to data architecture decisions, platform standards, and design guidelines\n\nMentor junior engineers and provide technical guidance, including best practices for automating data workflows\n\nQualifications\nData Engineering, Frameworks & System Design\n8+ years of experience building and operating data platforms or distributed data systems\n\nProven experience designing and building reusable data engineering frameworks, libraries, or platform components\n\nStrong experience designing scalable, reliable data pipelines using standardized patterns\n\nSolid understanding of data modeling, storage formats, schema evolution, and query performance\n\nExperience implementing automation in data pipelines, including rule-based or AI-assisted approaches\n\nAbility to reason about architectural trade-offs across scalability, cost, reliability, and security\n\nCloud & Data Platform Experience\nStrong hands-on experience with AWS, including IAM, networking, and multi-account setups\n\nProven experience with Databricks Lakehouse, including:\nDelta Lake\n\nUnity Catalog\n\nStrong proficiency in Python for framework development, data processing, and automation\n\nExperience building data platforms that support multiple consumers and automated workflows\n\nSecurity & Communication\nUnderstanding of cloud security best practices and data governance\n\nExperience working in regulated or compliance-driven environments\n\nStrong communication skills and the ability to drive adoption of shared frameworks and automation patterns across teams\n\n Nice-to-Have\nExperience building AI-assisted or intelligent automation for:\nData quality monitoring\n\nPipeline observability\n\nCost or performance optimization\n\nExperience building internal data platforms or enablement frameworks\n\nExperience supporting AI/ML teams as platform consumers (without owning models)\n\nExperience with data observability and monitoring tools\n\nExperience with enterprise ingestion tools (e.g., Fivetran, HVR)\n\nExperience with data lineage or metadata management\n\nFamiliarity with secret management tools (Vault or similar)\n\nExperience optimizing Databricks performance and cost\n\nExperience working with globally distributed teams\n\nQualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail  or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\nTo all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.\nEEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\nPay rangeand Other Compensation & Benefits :\n$133,600.00 - $200,400.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.\nIf you would like more information about this role, please contact Qualcomm Careers.","description_format":"text","description_chars":8187,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","RF & Wireless Hardware","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-04-01T00:00:00Z"},{"event":"close","at":"2026-08-13T11:32:24Z"},{"event":"reopen","at":"2026-09-10T22:14:10Z"},{"event":"close","at":"2026-09-11T02:22:19Z"},{"event":"reopen","at":"2026-09-12T02:28:18Z"},{"event":"close","at":"2026-09-12T05:28:20Z"},{"event":"reopen","at":"2026-09-13T01:53:42Z"},{"event":"close","at":"2026-09-13T05:40:27Z"},{"event":"reopen","at":"2026-09-15T22:23:58Z"},{"event":"close","at":"2026-09-19T14:26:11Z"},{"event":"reopen","at":"2026-09-19T18:27:54Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 55 · green card filings: 6","filings_12m":55,"filings_prev_12m":87,"green_card_filings_12m":6,"median_offered_wage_usd":122008,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":7}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":206,"expected_fill_days":74,"reasons":["conf:2","repost:3","velocity","ghost","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":200400,"is_top_pay":true},"html_url":"https://alion.io/job/qualcomm-data-engineer-staff","json_url":"https://alion.io/job/qualcomm-data-engineer-staff.json","meta":{"generated_at":"2026-10-24T09:14:47Z","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":13308,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":94},"rest":"https://alion.io/mcp/rest/get_company?id=94"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqualcomm-data-engineer-staff"},{"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%2Fqualcomm-data-engineer-staff"},{"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%2Fqualcomm-data-engineer-staff"},{"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/qualcomm-data-engineer-staff\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-data-engineer-staff"}]}