{"id":3333282,"url":"https://alion.io/job/kemper-senior-data-engineer","title":"Senior Data Engineer","company":{"id":1805827,"name":"Kemper","domain":"kemper.com","url":"https://alion.io/company/kemper-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States","Jacksonville, United States","Dallas, United States","Birmingham, United States","Downers Grove, United States","Charlotte, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":99000,"max":164800,"currency":"USD","period":"year","gross":null,"usd_annual":164800},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Data Vault","optional":false},{"name":"Datadog","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Pentaho","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Alation","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"Collibra","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitLab CI","optional":true},{"name":"Great Expectations","optional":true},{"name":"Java","optional":true},{"name":"Scala","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-30T05:08:48Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Location(s)\nBirmingham, Alabama, Charlotte, North Carolina, Chicago, Illinois, Dallas, Texas, Jacksonville, Florida, P&C-Butterfield Road-Downers Grove-IL-AACDetails\nKemper is one of the nation’s leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper’s products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.\nPosition Summary:\nWe are seeking a highly skilled Senior Data Engineer to guide the design, development, and delivery of our enterprise data platforms. This role requires deep technical expertise with Snowflake, Core AWS Services, cloud-based architecture, and modern data engineering frameworks. As a senior engineer, you will define architectural patterns, mentor engineering teams, and ensure the successful execution of strategic data initiatives that support analytics, reporting, and business intelligence efforts across the organization.\nPosition Responsibilities:\nTechnical Leadership & Architecture\nProvide technical leadership to data engineers, setting standards for solution design, coding practices, data governance, and quality. \nDefine and evolve the enterprise data architecture leveraging Snowflake, Data Vault 2.0, and modern event driven and ELT frameworks. \nLead architecture reviews, establish engineering best practices, and guide platform modernization efforts. \nMentor engineering team members, facilitate code reviews, and promote continuous learning and innovation. \nSolution Design & Data Engineering\nArchitect and oversee the delivery of scalable data pipelines, ingestion frameworks, and transformation processes using Snowflake, Python, Spark, Informatica (PowerCenter/IDMC), AWS Glue, and cloud-native tooling. \nDesign and maintain enterprise data models, including Data Vault 2.0 (Hubs, Links, Satellites, PIT, Bridge structures) and dimensional models. \nDevelop and optimize Snowflake platform capabilities, including: \nSnowpipe, Streams, Tasks, File Formats, External Stages \nDynamic Tables and ELT pipeline automation \nWarehouse sizing, performance tuning, and cost optimization \nImplement scalable batch, micro-batch, and real-time ingestion solutions following best practices. \nStakeholder Engagement & Delivery Ownership\nTranslate complex business requirements into technical design specifications and actionable development plans. \nPartner with product owners, business stakeholders, architects, and analytics teams to deliver high-impact data solutions. \nManage technical execution across multiple initiatives, ensuring alignment with enterprise priorities, data strategies, and delivery timelines. \nOversee documentation, deployment readiness, testing processes, and quality assurance for production releases. \nOperational Excellence & Production Support\nEnsure operational reliability, data accuracy, and performance of enterprise data warehouse and analytical environments. \nLead root-cause analysis for production issues and drive implementation of long-term preventative solutions. \nImplement robust monitoring frameworks using tools such as Snowflake Resource Monitors, CloudWatch, Datadog, or equivalent observability platforms. \nConduct performance optimization on Snowflake workloads, SQL queries, pipelines, and integrations. \nPosition Qualifications:\n8+ years of experience in data engineering, with 2+ years in a senior, lead, or architect capacity. \nAdvanced hands-on expertise in Snowflake, including constant learning on advanced new features. \nStrong experience implementing Data Vault 2.0 models and automated ELT frameworks. \nProficiency with ETL/ELT and data integration tools such as Informatica IDMC, PowerCenter, Pentaho, AWS Glue, Control M and Python-based pipelines. \nDeep understanding of: \nData warehousing and analytics engineering principles \nDimensional modeling and relational structures \nELT patterns, CDC frameworks, and metadata-driven design \nOrchestration frameworks (Control-M, Airflow) \nStrong SQL expertise with experience in stored procedures, Snowflake Scripting, and complex query optimization. \nHands-on experience designing and delivering large-scale AWS-based data platforms. \nDemonstrated leadership in guiding teams, influencing architecture decisions, and managing technical delivery. \nExcellent communication and collaboration skills with the ability to partner across technical and business teams. \nPreferred Qualifications:\nExperience with advanced Snowflake features: \nSnowpark (Python/Java/Scala) \n Snowflake Warehouses, Databases, Schemas, RBAC \n Snowpipe, Tasks, Streams, Stages, File Formats \n Performance tuning, warehouse optimization, clustering \n Data sharing, secure data sharing, reader accounts \nAI/ML Function \nExperience with modern DataOps, DevOps, and automation frameworks: \nCI/CD (GitHub Actions, GitLab CI, Azure DevOps) \nInfrastructure-as-Code (Terraform, CloudFormation) \nAutomated testing frameworks for data pipelines \nFamiliarity with data quality and governance tools such as Great Expectations, Monte Carlo, Datafold, Soda, Alation, or Collibra. \nExperience with streaming technologies such as Kafka, Kinesis, or MSK. \nExposure to ML feature engineering pipelines or MLOps practices. \nP& C Insurance industry experience, specifically auto insurance experience required and is strongly preferred. \nPrior experience on data warehousing with Guidewire PolicyCenter ,ClaimCenter or BillingCenter and Agency Licensing data is preferred \nBachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent relevant experience/certifications. \nWhy Join Us\nOpportunity to lead the technical direction of an enterprise-wide data platform. \nWork with modern cloud-native technologies and shape the future of the organization’s data strategy. \nCollaborative, growth-oriented environment with strong investment in data modernization. \nSponsorship is not accepted for this opportunity. \nThis position can be worked hybrid out of a local Kemper office, including Chicago, IL, Birmingham, AL, Richardson, TX, or Jacksonville, FL. For non-local candidates, remote options with travel are available. \nThe range for this position is $99,000 to $164,800. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.) \nKemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination.\nKemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.\nKemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.\n#LI-JO1\n#LI-Hybrid","description_format":"text","description_chars":7811,"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":["401k plan","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":"2026-10-27T12:42:08Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":4,"expected_fill_days":29,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":164800,"is_top_pay":true},"html_url":"https://alion.io/job/kemper-senior-data-engineer","json_url":"https://alion.io/job/kemper-senior-data-engineer.json","meta":{"generated_at":"2026-10-30T08:04:45Z","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":11350,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":1805827},"rest":"https://alion.io/mcp/rest/get_company?id=1805827"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkemper-senior-data-engineer"},{"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%2Fkemper-senior-data-engineer"},{"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%2Fkemper-senior-data-engineer"},{"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/kemper-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkemper-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3333282}},{"tool":"search_jobs","arguments":{"company":"kemper.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3333282},"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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