{"id":777447,"url":"https://alion.io/job/qualcomm-staff-data-engineer-full-stack-data-developer-databricks-python","title":"Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python)","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":"C","score":69,"open_postings":1051,"ghost_share":0.249,"stale_share":0.149,"repost_share":0.456,"time_to_fill_p50_days":74,"computed_at":"2026-10-31T05:58:55Z"}},"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":130000,"max":195000,"currency":"USD","period":"year","gross":null,"usd_annual":195000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon S3","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"IAM","optional":true},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-03-04T00:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-31T08:45:34Z","board_verified":true,"closed_at":null,"days_open":241,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":241},"description":"Company:\nQualcomm IncorporatedJob Area:\nInformation Technology Group, Information Technology Group > IT Software DeveloperGeneral Summary:\nThe Staff Data Engineer / Full-Stack Data Developer is a senior, hands-on individual contributor responsible for designing, building, optimizing, and operating data pipelines, curated data products, and Databricks-native data applications on a modern cloud Lakehouse platform. This role is critical to enabling enterprise analytics, BI, AI/ML, and data-driven applications, with deep expertise in Databricks, Python, Spark, and Databricks application development.\nThis position requires strong end-to-end ownership of data engineering and data app solutions, production-grade engineering rigor, and the ability to collaborate across platform, analytics, and application teams.\nThis role requires full-time onsite work in San Diego, CA (5 days per week).\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.\nKey Responsibilities\nData Engineering & Development\nDesign, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and Python to support enterprise analytics, AI, and application use cases.\n\nBuild and manage curated data layers following Lakehouse Medallion architecture best practices (Bronze / Silver / Gold).\n\nDevelop reusable, modular data transformation frameworks to accelerate delivery across domains.\n\nDatabricks Application Development\nDesign and develop Databricks-native data applications, including notebook-based apps, Databricks dashboards, and interactive data experiences for analytics and business users.\n\nBuild data APIs, parameterized pipelines, and app-integrated data services leveraging Databricks and Lakehouse capabilities.\n\nPartner with analytics, AI, and application teams to embed data and insights directly into workflows and applications.\n\nEnsure Databricks apps meet performance, security, governance, and usability standards.\n\nPerformance, Scalability & Reliability\nOptimize Apache Spark jobs and Databricks workloads for performance, cost efficiency, scalability, and reliability.\n\nProactively address challenges related to data volume, schema evolution, and compute optimization.\n\nImplement robust data quality checks, validations, and anomaly detection within pipelines and apps.\n\nProduction Support & Operations\nOwn and support production data pipelines and Databricks applications, including monitoring, troubleshooting, and root-cause analysis.\n\nEnsure high availability, data correctness, and SLA adherence for business-critical datasets and apps.\n\nContribute to observability, alerting, and operational automation.\n\nFull-Stack Data Enablement\nCollaborate with BI, analytics, AI/ML, platform, and application teams to deliver end-to-end data solutions.\n\nEnable data consumption across dashboards, reports, Databricks apps, AI models, APIs, and downstream applications.\n\nTranslate business and analytical requirements into well-designed data pipelines and data applications.\n\nEngineering Excellence & Technical Influence\nAct as a technical leader and mentor, defining best practices for data engineering and Databricks app development.\n\nParticipate in architecture reviews, design discussions, and technical roadmaps.\n\nContinuously evaluate and adopt modern Databricks features, GenAI capabilities, and automation patterns to improve developer productivity.\n\nRequired Skills & Experience\n5+ years of hands-on data engineering experience, owning production-grade pipelines and data solutions.\n\nStrong proficiency in Python and Apache Spark (PySpark).\n\nProven hands-on experience working with Databricks in production, including Databricks application development.\n\nStrong SQL and data transformation skills.\n\nExperience building and supporting Databricks notebooks, dashboards, and data-driven applications.\n\nExperience operating and supporting data pipelines and data apps in production environments.\n\nSolid understanding of data quality, reliability, security, and governance.\n\nPreferred / Nice-to-Have Qualifications\nExperience with AWS cloud services (e.g., S3, IAM, EC2, Glue, or equivalent).\n\nExposure to Unity Catalog, access controls, metadata management, and governed data sharing.\n\nExperience with streaming data pipelines (e.g., Structured Streaming, Kafka).\n\nFamiliarity with CI/CD, Git-based workflows, and Data/Analytics DevOps.\n\nExperience enabling BI, AI/ML, or application-embedded analytics using Databricks.\n\nWhat Defines Success at the Staff Level\nOwns complex data pipelines and Databricks applications end-to-end with minimal oversight.\n\nDrives improvements in performance, reliability, cost efficiency, and usability across data and app layers.\n\nInfluences architecture, standards, and best practices beyond immediate assignments.\n\nServes as a trusted technical partner to analytics, AI, platform, and application 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$130,000.00 - $195,000.00The 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":8048,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","RF & Wireless Hardware","Car Electronics"],"lifecycle":[{"event":"open","at":"2026-09-11T23:28:00Z"},{"event":"close","at":"2026-09-12T02:28:18Z"},{"event":"reopen","at":"2026-09-12T16:53:34Z"},{"event":"close","at":"2026-09-12T19:53:34Z"},{"event":"reopen","at":"2026-09-13T01:53:42Z"},{"event":"close","at":"2026-09-13T05:40:27Z"},{"event":"reopen","at":"2026-09-13T20:50:48Z"},{"event":"close","at":"2026-09-13T23:50:53Z"},{"event":"reopen","at":"2026-09-19T01:39:21Z"}],"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":"2026-10-29T16:27:21+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":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.652,"p_room":0.28,"age_days":241,"expected_fill_days":74,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":195000,"is_top_pay":true},"html_url":"https://alion.io/job/qualcomm-staff-data-engineer-full-stack-data-developer-databricks-python","json_url":"https://alion.io/job/qualcomm-staff-data-engineer-full-stack-data-developer-databricks-python.json","meta":{"generated_at":"2026-10-31T09:28:46Z","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":14318,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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-staff-data-engineer-full-stack-data-developer-databricks-python"},{"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-staff-data-engineer-full-stack-data-developer-databricks-python"},{"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-staff-data-engineer-full-stack-data-developer-databricks-python"},{"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-staff-data-engineer-full-stack-data-developer-databricks-python\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqualcomm-staff-data-engineer-full-stack-data-developer-databricks-python"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":777447}},{"tool":"search_jobs","arguments":{"company":"qualcomm.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":777447},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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