{"id":4285321,"url":"https://alion.io/job/intuit-principal-software-engineer-data-engineering","title":"Principal Software Engineer, Data Engineering","company":{"id":16628,"name":"Intuit","domain":"intuit.com","url":"https://alion.io/company/intuit","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":77,"open_postings":45,"ghost_share":0,"stale_share":0.911,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Oakland, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":261500,"max":353500,"currency":"USD","period":"year","gross":null,"usd_annual":353500},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-05T00:00:00Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-13T21:36:57Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"We are seeking a Principal Software Engineer, Data Engineering to serve as a technical leader and domain expert across multiple Data Engineering teams. This role is critical for driving strategic transformation and defining foundation technology, specifically focusing on high-scale data products. The successful candidate will operate with a Builder Profile, driving velocity by identifying and executing key opportunities across the company.\nThis role will build the data layer for a Unified Consumer Data Plane across Credit Karma and TurboTax. Building creating the unified data plane brings together unified identity and attributes, a canonical catalog of products and offers and behavioral and activity context so that AI/ML models, AI agents, personalization and marketing teams can build on one trusted, real-time data foundation. You will design for scale (from hundreds to thousands of attributes),across clouds (GCP and AWS) to control cost, faster time-to-data, and governance by design (data quality, lineage and fine-grained access control).\nThis is an individual contributor level role with no direct reports or managerial duties. You will apply master level software engineering and industry best practices to solve hard problems end to end, working strategically, addressing complex issues, and leading technology decisions that have significant long-term impact.\nResponsibilities\nTechnical Craft and Architectural Leadership\nLead the development and implementation of the Consumer Platform data strategy, aligning with the target state architecture. Drive significant technology initiatives end-to-end, including across the horizontal layers of the architecture.\n\nProvide a birds-eye architecture view and give early visibility into Technical Decisions, clarifying the rationale and principles for those decisions.\n\nDrive the design and implementation of durable, robust, scalable, and secure technical designs, implementing them effectively to ensure high availability and optimal performance of applications.\n\nAct as a role model in full cycle engineering, demonstrating deep expertise across the software lifecycle, including design, implementation, and operationalization.\n\nEngage in 70% hands-on development in all phases of the software life cycle.\n\nLead the initial phases of critical projects, such as proof of concepts or pilot implementations, and engage in live coding sessions and collaborative problem-solving.\n\nEnterprise Data Strategy, Quality, and Efficiency\nDrive the data strategy across the consumer platform, including defining the technical strategy for data modeling, ingestion, curation, and quality standards across consumption points and patterns.\n\nDrive the consumer platform analytics pipeline and establish the target state for real-time analytics.\n\nDefine and enforce the technical and operational standards required for high velocity, establishing clear technical paved paths and standardizing technology direction.\n\nReduce rework and overhead by providing directions on smart execution for migration-specific initiatives and addressing infrastructure overhead (e.g., EMR Upgrades and image management for EMR serverless).\n\nEnsure designs are scaled to handle future data volumes with consideration of infrastructure cost optimization.\n\nDefine approaches for how to avoid incidents and position for 'game day' preparedness, including addressing the lack of Data Quality (DQ) monitoring for upstream pipelines and E2E testing and quality checks.\n\nMake data backed decisions and drive the right level of instrumentation and Experimentation.\n\nAI Native Applications and Innovation\nPossess the knowledge required for building AI native applications.\n\nGuide the applicability of AI to customer problems through a deep understanding of the value and limitations of AI technologies.\n\nChampion new solutions, emerging technologies, and AI to solve complex problems and create new opportunities, including leveraging AI and Agentic experiences to improve customer experiences.\n\nProvide direction on managing the multiples of AI tooling silos to reduce inefficiency and inconsistency.\n\nMaintain a passion for continuous learning, experimenting, and applying cutting-edge technology and software paradigms.\n\nLeadership, Mentorship, and Collaboration\nInfluence technology and product direction, typically driving work across multiple scrum teams.\n\nAct as the bridge between product and data engineering, enabling teams to work closely with Product Development teams. Partner with other groups for cross-functional design, development, and integration.\n\nProvide clear business context, including a mind map of business flows, and clarify who are the consumers of the data and how the data is being consumed.\n\nProvide comprehensive technical mentorship through personalized skill enhancement with clear milestones.\n\nConduct detailed architecture and code reviews, including interactive methods like paired programming, to enforce standards and share fundamental and advanced design principles.\n\nAccelerate learning and growth by actively keeping engineers updated on the latest industry trends, tools, technologies, and frameworks.\n\nContribute to standards, patterns, and best practices that improve the engineering community.\n\nStrategic and Leadership Skills\nStrong mentoring skills and ability to influence and communicate effectively with both technical and non-technical people.\n\nExcellent interpersonal and communication skills, with the ability to communicate clearly, succinctly, and persuasively to all levels.\n\nAbility to operate at varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation.\n\nDemonstrated experience driving technical strategy in high scale data environments.\n\nAbility to synthesize achievable solutions from diverse inputs, alternative sources (build / buy / partner) and complex data.\n\nStrategic mindset: influences the team and platform’s short and long-term strategy for maximum business impact.\n\nQualifications\nBS or MS in Computer Science, Data Engineering, or a related field.\n15+ years of software engineering experience, with a strong background in data engineering.\n\n9+ years professional working experience with various big data technologies, including Hive, Hadoop, Kafka, Columnar Databases, and Graph Databases. Strong experience with stream processing or near real-time data ingestion is important.\n\nExpertise in developing Software for Java (Spring & Springboot), Scala for Spark streaming & Spark applications, or other JVM based languages.\n\nExpert professional experience with SQL, XML, JSON, YML, very strong Python and Linux.\n\nStrong understanding of extensible data modeling and designing for large scale data environments.\n\nStrong background using cloud platforms such as AWS, Azure, or GCP (AWS expertise specifically noted). Demonstrated experience operating high scale services in the cloud, designing highly resilient services, and building recovery mechanisms.\n\nExpertise with tools and frameworks such as Docker, Spark, Scala, Jupiter Notebook, Databricks Notebooks, Kubernetes, Feature Management Platforms, and SageMaker.\n\nStrong background in adoption of AI skills in both traditional and Generative-AI. Knowledge of AI / ML, Generative AI, and experience with growth-focused AI/ML applications.\n\nExpert knowledge of software development methodologies and practices, including Agile Development, SCRUM, and/or Extreme Programming methodologies.\n\nIntuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.\n The expected base pay range for this position is:Oakland $261,500 - $353,500","description_format":"text","description_chars":8141,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Personal Finance Apps & Education","Accounting & Tax Software","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-11-13T21:36:57Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 719 · green card filings: 199","filings_12m":719,"filings_prev_12m":718,"green_card_filings_12m":199,"median_offered_wage_usd":177081,"route":null,"cap_exempt":false,"checked_at":"2026-11-12T07:36:15+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":71}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":8,"expected_fill_days":46,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-13T23:26:47Z"},"pay":{"stated_usd_annual":353500,"is_top_pay":true},"html_url":"https://alion.io/job/intuit-principal-software-engineer-data-engineering","json_url":"https://alion.io/job/intuit-principal-software-engineer-data-engineering.json","meta":{"generated_at":"2026-11-13T23:26:47Z","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":46752,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":16628},"rest":"https://alion.io/mcp/rest/get_company?id=16628"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintuit-principal-software-engineer-data-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fintuit-principal-software-engineer-data-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fintuit-principal-software-engineer-data-engineering"},{"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/intuit-principal-software-engineer-data-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintuit-principal-software-engineer-data-engineering"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4285321}},{"tool":"search_jobs","arguments":{"company":"intuit.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4285321},"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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