{"id":3310321,"url":"https://alion.io/job/brown-brown-data-engineer","title":"Data Engineer","company":{"id":1779108,"name":"Brown & Brown","domain":"bbrown.com","url":"https://alion.io/company/brown-and-brown","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":89,"open_postings":22,"ghost_share":0,"stale_share":0.636,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":135000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":530},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache HTTP Server","optional":false},{"name":"Apache Hudi","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kanban","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-29T00:32:59Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.\nBrown & Brown is seeking a Data Engineer to join our growing team in Plano, TX!\nAs a Data Engineer, you will play an important role in advancing our Data & AI Platform capabilities by designing, building, and operating modern data solutions that support AI/ML, analytics, business intelligence, and enterprise insights. You will work within a collaborative engineering team to develop reliable, scalable, and governed data solutions using modern cloud and lakehouse technologies. You will partner with engineers, product owners, architects, and business stakeholders to understand requirements and translate them into production-ready data pipelines and data products.\nThis is a hands-on engineering role with responsibility across the development lifecycle, including design, development, testing, deployment, monitoring, troubleshooting, and ongoing optimization of data solutions.\nWhat Will You Do?\nDesign, develop, test, deploy, and support scalable batch and streaming data solutions.\nBuild Databricks-native data engineering solutions using Delta Lake, Lakeflow Declarative Pipelines, Databricks Jobs, Auto Loader, Structured Streaming, and Unity Catalog.\nDevelop production-grade ingestion, transformation, and data-processing pipelines using Python, PySpark, Apache Spark, and SQL.\nBuild reliable and governed data pipelines that improve the accuracy, consistency, accessibility, and trustworthiness of enterprise data.\nDevelop reusable components, libraries, templates, and automation to improve engineering productivity and solution consistency.\nImplement data-quality validation, monitoring, observability, and remediation processes for critical data assets.\nIntegrate data solutions with governance capabilities, including metadata, lineage, classification, certification, ownership, and access controls.\nDevelop and maintain governed data assets supporting AI, Machine Learning, analytics, semantic models, APIs, Genie Spaces, and AI agents.\nBuild and maintain workflow orchestration, including scheduling, dependencies, parameters, retries, notifications, and operational monitoring.\nTroubleshoot and optimize data workloads using Spark diagnostics, job logs, query plans, partitioning strategies, join optimization, and Adaptive Query Execution.\nSupport production data solutions through monitoring, incident resolution, performance tuning, migrations, upgrades, and cost optimization.\nParticipate in technical design discussions, code reviews, testing, and continuous improvement of engineering practices.\nCollaborate with product owners, architects, operations teams, and other engineers to resolve technical dependencies and deliver solutions.\nMaintain technical documentation for data pipelines, data models, operational procedures, and engineering solutions.\nRequired Qualifications\nBachelor’s degree in computer science, Engineering, Mathematics, Information Systems, or a related STEM field, or equivalent education and professional experience.\n4+ years of experience in data engineering, software engineering, or a related technical discipline, including experience developing and supporting production data solutions.\nHands-on experience withApache Spark/PySpark, Delta Lake, Python, and SQL.\nExperience building and supporting production batch and/or streaming data pipelines.\nExperience with Databricks capabilities such as Lakeflow Declarative Pipelines, Databricks Jobs, Auto Loader, Structured Streaming, Delta Lake, and Unity Catalog.\nExperience developing ETL/ELT pipelines for ingesting, transforming, validating, and publishing enterprise data.\nExperience with workflow orchestration, including scheduling, dependencies, parameters, retries, notifications, and monitoring.\nUnderstanding of Unity Catalog and data governance concepts, including catalogs, schemas, tables, views, lineage, access controls, and permissions.\nExperience with Git and CI/CD practices and exposure to Infrastructure as Code technologies such as Terraform or Databricks Asset Bundles.\nStrong Python and SQL development skills with the ability to create maintainable, testable, and production-ready data solutions.\nExperience troubleshooting and optimizing Spark workloads using Spark UI, job logs, query plans, partitioning, and join optimization.\nUnderstanding of relational, dimensional, logical, and physical data modeling concepts.\nExperience working across the engineering lifecycle, from requirements and development through testing, deployment, monitoring, and production support.\nStrong problem-solving and analytical skills with the ability to diagnose and resolve data and production issues.\nStrong written and verbal communication skills with the ability to collaborate effectively with technical and business teams.\nExperience working within Agile delivery models such as Scrum, Kanban, or SAFe.\nAdvanced experience with Python and PySpark for data processing, automation, and reusable engineering components.\nExperience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.\nExperience with cloud storage technologies such as Azure Data Lake Storage Gen2, Amazon S3, OneLake, or Google Cloud Storage.\nExperience with modern data technologies such as Snowflake, Apache Iceberg, Apache Hudi, or BigQuery.\nExperience building ingestion pipelines using Databricks Auto Loader.\nExperience developing streaming solutions using Structured Streaming\nExperience designing or consuming REST APIs and web services.\nExperience implementing data-quality, metadata, governance, or lineage capabilities.\nExperience developing data products supporting AI, Generative AI, Machine Learning, semantic models, APIs, advanced analytics, Genie Spaces, or AI agents.\nExperience working with insurance and Health domain data\nPractical experience using AI-assisted development tools such as GitHub Copilot, Claude, or Databricks AI-assisted development capabilities to improve engineering productivity.\nStrong experience building and supporting production-scale Databricks Lakehouse solutions.\nStrong Python skills applied to reusable data engineering frameworks, automation, libraries, and utilities.\nExperience working with Delta Lake and modern lakehouse architectures.\nExperience developing governed datasets and data products for analytics, AI, and Generative AI use cases.\nExperience with automated testing, deployment pipelines, Infrastructure as Code, and modern software engineering practices.\nDemonstrated ability to troubleshoot complex data problems and improve the reliability, performance, and maintainability of existing solutions.\nA strong engineering mindset with an emphasis on quality, automation, observability, scalability, and continuous improvement.\nTeammate Benefits & Total Well-Being\nWe go beyond standard benefits, focusing on the total well-being of our teammates, including:\nHealth Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance \nFinancial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement \nMental Health & Wellness: Free Mental Health & Enhanced Advocacy Services\nBeyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more. \nNot reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.\nRecruiting Vendor Disclosure Statement\nBrown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies (\"Recruiting Vendors\"). Recruiting Vendors must have a valid written agreement and received prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.\nThe Power To Be Yourself\nAs an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”.","description_format":"text","description_chars":8393,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","Property & Casualty Insurance","Insurance Brokers & Agencies"],"lifecycle":[{"event":"open","at":"2026-10-27T03:03:53Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":132500,"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)"],"filings_for_role_12m":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":19,"reasons":["conf:5","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/brown-brown-data-engineer","json_url":"https://alion.io/job/brown-brown-data-engineer.json","meta":{"generated_at":"2026-10-29T04:55:00Z","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":7590,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":1779108},"rest":"https://alion.io/mcp/rest/get_company?id=1779108"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbrown-brown-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%2Fbrown-brown-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%2Fbrown-brown-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/brown-brown-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbrown-brown-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3310321}},{"tool":"search_jobs","arguments":{"company":"bbrown.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3310321},"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. Docs: https://alion.io/developers"}}