{"id":2500330,"url":"https://alion.io/job/mmg-insurance-senior-data-engineer","title":"Senior Data Engineer","company":{"id":1990844,"name":"MMG Insurance","domain":"mmgins.com","url":"https://alion.io/company/mmgins-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HiBob","truth_index":null},"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":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":115000,"max":146000,"currency":"USD","period":"year","gross":null,"usd_annual":146000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Computer Use","optional":true},{"name":"Delta Lake","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-15T19:02:41Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T09:32:49Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"MMG Insurance is seeking a Senior Data Engineer to help build, modernize, and maintain the data platforms that support business intelligence, analytics, reporting, and data-driven decision-making across the organization.This role requires consistent travel to our Portsmouth, NH office. Candidates will need to be able to travel to the office in New Hampshire at minimum, monthly. This role is open to candidates residing in ME/NH/MA.\nThis role will be responsible for designing and developing scalable data pipelines and solutions using modern cloud data technologies, with a strong focus on Python, Databricks, SQL, and data engineering best practices. The ideal candidate is a hands-on engineer who can work across teams to understand business needs, translate them into reliable data solutions, and help advance MMG's data engineering capabilities, including modernizing how our legacy IBMi systems connect into the broader data ecosystem. This role will also play a key part in preparing our data platform for data conversion readiness.\nThis is a modernization role as much as a build role. MMG's data estate spans a modern Databricks lakehouse, an established enterprise reporting layer, and legacy ETL and warehouse processes that have grown up over many years. You will help move that estate onto a governed, version-controlled, automated foundation, designing what replaces the manual processes, not only maintaining what exists today.\nKey Responsibilities\nDesign, build, and maintain scalable, reliable data pipelines and ETL/ELT processes.\nDevelop data engineering solutions using Python, SQL, and Databricks.\nBuild and optimize data pipelines within the Databricks Lakehouse environment.\nWork with large, complex datasets from multiple sources, including enterprise applications, databases, APIs, and other data platforms.\nPartner with engineering teams to extract, integrate, and modernize data flows from legacy systems, including IBMi/AS400 environments.\nContribute to databricks implementation project and support data platform readiness for large scale data conversion, including data mapping, migration, and integration work.\nDesign and implement change data capture (CDC) patterns to support real-time and incremental data integration.\nDevelop and maintain data models and curate datasets for analytics, reporting, and downstream applications.\nImplement data quality, validation, monitoring, and error-handling processes.\nOptimize data pipelines and queries for performance, scalability, reliability, and cost.\nPartner with data architects, analysts, data scientists, application teams, and business stakeholders to deliver high-quality data solutions.\nCollaborate with the AI governance group to prepare and structure data for AI/ML pilot programs, including initiatives built on Azure AI Foundry.\nParticipate in the design and evolution of MMG's modern data architecture and engineering practices.\nEstablish and promote standards for code quality, testing, documentation, version control, and deployment.\nTroubleshoot complex data and pipeline issues and provide sustainable solutions.\nContribute to CI/CD and automated deployment practices for data engineering workloads.\nMentor other engineers and contribute to the growth of MMG's data engineering capabilities.\nRequired Qualifications\nExperience establishing version control, testing, review and deployment automation for data \nBachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.\n5+ years of professional experience in data engineering, software engineering, or a related technical discipline.\nStrong professional experience with Python and the ability to write clean, maintainable, production-quality code.\nStrong experience with Databricks, including developing and optimizing data pipelines and workloads.\nStrong SQL skills and experience working with relational and/or analytical databases.\nExperience designing and implementing ETL/ELT pipelines and data integration solutions.\nExperience working with cloud-based data platforms and modern data architectures (Azure preferred).\nStrong understanding of data modeling, data warehousing, and data lake/lakehouse concepts including medallion / multi-hop architectures.\nExperience with Git and modern software development practices.\nExperience with automated testing, deployment, and CI/CD practices.\nStrong analytical and problem-solving skills.\nAbility to communicate effectively with both technical and non-technical stakeholders.\nPreferred Qualifications\nExperience working in the insurance or financial services industry.\nExperience integrating data from legacy systems, particularly IBMi/AS400 environments.\nExperience with Azure AI Foundry or similar AI/ML platform tooling.\nExperience with Apache Spark / PySpark.\nExperience with Databricks SQL and Delta Lake.\nExperience with data orchestration tools such as Azure Data Factory, Airflow, or similar technologies.\nExperience with APIs and event-driven or real-time data integration.\nExperience implementing change data capture (CDC) patterns for enterprise data integration.\nExperience with insurance policy administration platform data or large-scale platform data conversions.\nExperience with data governance, metadata, lineage, and data quality frameworks.\nExperience working with enterprise data warehouses and dimensional modeling.\nExperience with Infrastructure as Code and cloud automation.\nExperience using AI-assisted development tools to improve engineering productivity.\nWhat Success Looks Like\nIn this role, you will:\nBuild reliable, scalable, and maintainable data pipelines that the organization can trust.\nHelp expand MMG's use of Databricks and modern data engineering practices.\nImprove the availability, quality, and usability of enterprise data.\nReplace manual and repetitive data processes with automated, monitored pipelines, reducing the operational effort spent correcting and reconciling data by hand.\nDeliver data solutions that meet both technical requirements and business needs.\nHelp establish consistent engineering standards across the data organization.\nServe as a technical leader and mentor for other data engineers.\nCore Technologies\nRequired: Python | Databricks | SQL | ETL/ELT | Data Modeling | Git | Cloud Data Platforms\nPreferred: PySpark | Delta Lake | Azure | Azure Data Factory | Azure AI Foundry | Databricks SQL | CI/CD | APIs | CDC | Data Governance\nCompensation Range: The anticipated annual compensation range for this position is $115k-$146k. This position may be filled at different levels depending on the candidate's experience and qualifications and the final title, level, and compensation will be determined based on the selected candidate's qualifications, experience, skills, and overall fit for the role. Compensation decisions are made in alignment with internal equity and market considerations.\nWhy MMG Insurance\nMMG Insurance is investing in modern data infrastructure and AI capabilities to support our engineering teams and business operations. This is an opportunity to shape the data foundation for emerging AI pilot programs while working on meaningful, high-impact projects alongside a collaborative IT/engineering organization.\nEssential Functions: The essential functions of this position include designing/building scalable data pipelines and cloud-based data solutions, developing/integrating data systems using modern engineering tools and collaborating with cross-functional teams to deliver reliable, high-quality data products while supporting data modernization initiatives. These duties require the ability to analyze, interpret and work with complex data sets, systems, and technical information and the ability to communicate and collaborate effectively with technical and non-technical stakeholders. This position is primarily performed in an office or remote work environment and requires prolonged periods of sitting and computer use. The role involves frequent verbal and written communication, participation in virtual and in-person meetings, and occasional travel to client or company locations. Consistent with applicable law, reasonable accommodations will be made to support individuals with disabilities in performing the essential functions of their job provided that such accommodations do not impose an undue hardship on the business. The organization will engage in an interactive accommodation process as needed.","description_format":"text","description_chars":8469,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance"],"lifecycle":[{"event":"open","at":"2026-10-14T05:42:11Z"}],"visa":[],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.667,"p_room":0.55,"age_days":29,"expected_fill_days":23,"reasons":["conf:0","win:tail"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":146000,"is_top_pay":false},"html_url":"https://alion.io/job/mmg-insurance-senior-data-engineer","json_url":"https://alion.io/job/mmg-insurance-senior-data-engineer.json","meta":{"generated_at":"2026-10-15T12:41:28Z","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":19581,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":1990844},"rest":"https://alion.io/mcp/rest/get_company?id=1990844"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmmg-insurance-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%2Fmmg-insurance-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%2Fmmg-insurance-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/mmg-insurance-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmmg-insurance-senior-data-engineer"}]}