{"id":1203531,"url":"https://alion.io/job/allstatecorporation-senior-data-engineer-con-ii","title":"Senior Data Engineer Con II","company":{"id":1921602,"name":"Allstate Corporation","domain":"allstatecorporation.com","url":"https://alion.io/company/allstatecorporation","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":29,"ghost_share":0,"stale_share":0.793,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":92000,"max_usd":175000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1251},"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Azure","optional":true},{"name":"Data Vault","optional":true},{"name":"Databricks","optional":true},{"name":"Machine Learning","optional":true},{"name":"Master Data Management","optional":true}],"status":"live","first_seen_at":"2026-09-17T00:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-22T02:31:36Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.\nJob Description\nJob DescriptionAllstate's Data & Analytics Technology organization is seeking a Senior Data Engineer to lead the design, development, and operation of scalable, resilient, and high-performing data platforms that power enterprise analytics, reporting, AI, and advanced data products. This role will be responsible for building and optimizing batch and streaming data solutions using Apache Spark, Microsoft Fabric, and modern cloud-native data technologies.\nAs a Senior Data Engineer, you will play a critical role in designing and implementing Lakehouse architecture based on Medallion (Bronze, Silver, Gold) principles, ensuring that data is governed, trusted, and readily consumable across the enterprise. You will partner closely with analytics engineers, architects, data scientists, and product teams to transform complex data into business-ready information assets through effective data engineering, modeling, and governance practices.\nThe ideal candidate possesses deep experience in large-scale data processing, dimensional data modeling, and modern software engineering practices, including leveraging Agentic AI-assisted development tools to accelerate engineering productivity, code quality, testing, and operational excellence.\nDesign, build, andmaintainscalable batch and real-time data pipelines using Apache Spark, SQL, Python, and cloud-native data technologies.\n\nArchitect and implementMedallion Lakehouse data patterns (Bronze, Silver, Gold)to support enterprise analytics, reporting, operational intelligence, and AI use cases.\n\nDevelop andoptimizeETL/ELT pipelines that ingest, transform, standardize, and curate data from diverse enterprise source systems.\n\nDesign and implement robustDimensionalmodels, including fact and dimension tables, to support reporting, self-service analytics, and business intelligence solutions.\n\nBuild and manage data workloads withinMicrosoft Fabric,OneLake, and modern Lakehouse platforms.\n\nEstablish data quality, observability, and governance frameworks through automated validation, reconciliation, monitoring, and alerting capabilities.\n\nOptimizeSpark workloads for performance, scalability, reliability, and cost efficiency across large and complex datasets.\n\nDesign solutions that effectively manage schema evolution, data lineage, metadata, and source-system changes.\n\nDevelop reusable frameworks, accelerators, and engineering standards that improve consistency anddeliveryvelocity across teams.\n\nLeverageAgentic AI-assisted development capabilities to accelerate code generation, testing, documentation, troubleshooting, and engineering productivity while adhering to enterprise governance standards.\n\nImplement CI/CD pipelines andDevSecOpspractices to enable automated testing, deployment, release management, and rollback strategies.\n\nLead technical design reviews and provide mentorship to junior and mid-level data engineers.\n\nCollaborate with data architects, business stakeholders, analytics engineers, and data scientists to translate business requirements into scalable data solutions.\n\nPartner with platform, security, privacy, and governance teams to ensure compliance with enterprise policies and regulatory requirements.\n\nDrive continuous improvement across data engineering practices, architecture standards, and Agile delivery processes.\n\nRequired Qualifications\n7+ years of experience as aData Engineer, building and supporting enterprise-scale data platforms and pipelines.\n\nStrong hands-on experience withApache Spark for large-scale distributed data processing.\n\nAdvancedproficiencyinPython,SQL, and modern data engineering development practices.\n\nExperience designing and implementingLakehouse architectures andMedallion Architecture patterns.\n\nStrong understanding ofdimensional modeling, including star schemas, snowflake schemas, fact tables, dimension tables, and semantic data models.\n\nExperience withMicrosoft Fabric, OneLake, Delta/Parquet formats, or comparable cloud analytics platforms.\n\nExpertise indata integration, transformation, and optimization techniques for large-scale analytical workloads.\n\nExperience implementing CI/CD pipelines, source control, Infrastructure as Code (IaC), and automated testing practices.\n\nFamiliarity with AI-powered engineering tools andAgentic AI-assisted software development practices.\n\nStrong understanding of distributed computing, performance tuning, scalability, fault tolerance, and data reliability.\n\nExcellent problem-solving, collaboration, communication, and stakeholder management skills.\n\nExperience leading technical initiatives and mentoring engineering team members.\n\nPreferred Qualifications\nExperience with real-time and event-drivenarchitecturesusing Kafka, Event Streams, or similar technologies.\n\nExperience designing and implementing enterprise data products withinMicrosoft Fabric.\n\nFamiliarity with Data Vault, Kimball, or other enterprise data modeling methodologies.\n\nExperience supporting machine learning, generative AI, or advanced analytics workloads.\n\nKnowledge of data governance, metadata management, master data management, and data quality frameworks.\n\nCloud certifications or data engineering certifications in Azure, Microsoft Fabric, Databricks, or related technologies.\n\nLeadership Expectations\nServe as a technical leader and trusted advisor for data engineering best practices.\n\nChampion modern data architecture patterns, reusable engineering standards, and automation-first approaches.\n\nDrive adoption of AI-assisted engineering practices to improve developer productivity and solution quality.\n\nMentor and coach engineering team members while fostering a culture of innovation, ownership, and continuous learning.\n\nSupervisory Responsibilities\nThis position does not have direct people management responsibilities but is expected to provide technical leadership, mentorship, and guidance across project teams and engineering initiatives.\nSkills\nApache Spark, Data Engineering, Python (Programming Language), Structured Query Language (SQL)Compensation\nCompensation offered for this role is 90,700.00 - 153,925.00 annually and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation.\nJoining our team isn’t just a job - it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.\nAllstate generally does not sponsor individuals for employment-based visas for this position.\nEffective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.\nFor jobs in San Francisco, please click “here ” for information regarding the San Francisco Fair Chance Ordinance.\nFor jobs in Los Angeles, please click “here ” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.\nTo view the “EEO Know Your Rights” poster click “here ”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.\nTo view the FMLA poster, click “ here ”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.\nIt is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.\nAllstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.\nWhen working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.\nTo help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.\nNote: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.","description_format":"text","description_chars":10013,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance","Life Insurance & Annuities"],"lifecycle":[{"event":"open","at":"2026-09-24T22:26:55Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.43,"p_room":0.45,"age_days":35,"expected_fill_days":18,"reasons":["conf:3","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/allstatecorporation-senior-data-engineer-con-ii","json_url":"https://alion.io/job/allstatecorporation-senior-data-engineer-con-ii.json","meta":{"generated_at":"2026-10-22T08:07:30Z","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":4155,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":1921602},"rest":"https://alion.io/mcp/rest/get_company?id=1921602"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fallstatecorporation-senior-data-engineer-con-ii"},{"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%2Fallstatecorporation-senior-data-engineer-con-ii"},{"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%2Fallstatecorporation-senior-data-engineer-con-ii"},{"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/allstatecorporation-senior-data-engineer-con-ii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fallstatecorporation-senior-data-engineer-con-ii"}]}