{"id":693174,"url":"https://alion.io/job/orion180-sr-data-engineer","title":"Sr. Data Engineer","company":{"id":686020,"name":"Orion180","domain":"orion180.com","url":"https://alion.io/company/orion180","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Rippling","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Irving, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":202000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":604},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-20T18:06:56Z","employer_posted_date":"2026-07-20","last_verified_at":"2026-09-23T10:46:05Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"At Orion180, we don’t just stand out for what we do; we shine because of how we do it. Our mission is to deliver an exceptional insurance experience through innovative technology, unparalleled customer service, and a comprehensive suite of products. Our vision is to be the premier global provider of insurance solutions and redefine the insurance industry.\nOrion180 is proud to call three vibrant cities home. Our headquarters on Florida’s stunning Space Coast in Melbourne offers an exceptional quality of life, with affordable housing, excellent transportation, and close proximity to major cities like Orlando, Tampa, and Miami. Our Irving, Texas, office places us in a dynamic center of culture, business, and entertainment, keeping us closely connected to innovation and growth. Our Draper, Utah, location, nestled in the heart of the Salt Lake Valley, connects us to a rapidly growing tech ecosystem and provides access to the outdoor lifestyle and natural beauty the region is known for.\n We are actively recruiting for a Sr. Data Engineer to join our growing team!\nWe believe analytics isn't a back-office function. It's not a reporting layer bolted onto the business after the real decisions get made. It's the foundation that tells you where risk actually lives, where growth is hiding, and where you're missing opportunities before it's too late to do anything about it.\nThat belief is driving real investment in our people, platforms, and in how deeply analytics is woven into the way we operate. From underwriting to distribution to customer experience, we're building a data culture where insight drives action.\nIt also means evolving how we think about the role of a Data Engineer.\nThe expectation isn’t just technical execution. It’s curiosity. Ownership. The ability to step into ambiguity, frame the problem, and help guide the business toward better decisions.\nABOUT THE ROLE:\nIn this role you will be a hands-on technical leader designing, building, and optimizing the data integrations, cloud data infrastructure, and data models that power analytics and data science across the company. You will lead the development of robust data pipelines, orchestrate complex workflows using Azure native tools, and implement data governance frameworks. You will collaborate with data scientists, analysts, and business leaders to turn raw data into scalable, production-ready assets for real-time analytics engines, portfolio risk platforms, and client-facing digital products.\nPipeline Development\nBuild and maintain scalable, fault-tolerant ETL/ELT pipelines using Azure Data Factory, Synapse, and Databricks to ingest diverse financial datasets.\nCreate and optimize data models (dimensional, medallion/bronze-silver-gold) to support PowerBI semantic layers and downstream analytics.\nImplement automated data validation, lineage tracking, and monitoring frameworks to ensure the highest standards of data security, privacy, and regulatory compliance.\nDevelop real-time data streaming and event-driven architecture using Azure Event Hubs and Azure Stream Analytics for instant fraud detection and transaction monitoring.\nInfrastructure Design & Database Optimization\n\nEngineer and implement highly optimized Lakehouse architectures utilizing Azure Synapse Analytics and Microsoft Fabric, ensuring efficient storage and querying of multi-terabyte data layers.\nDesign optimized relational, dimensional, and graph data models for diverse analytics computing and workloads.\nManage, optimize, and tune large-scale Azure SQL Databases and Managed Instances, writing complex, highly performant stored procedures and T-SQL queries.\nDataOps & Automation\n\nEstablish robust CI/CD deployment pipelines for all data assets using Azure DevOps, ensuring automated testing, validation, and infrastructure-as-code.\nCollaborate with data scientists to productionalize ML feature pipelines and support MLOps workflows.\nImplement strict data masking, row-level security, and data lineage workflows using Microsoft Purview to comply with financial regulations.\nAct as a technical leader, mentoring junior engineers and promoting modern Agile DataOps engineering practices: CI/CD for data pipelines, testing, version control and code review.\nWHAT YOU’LL DO:\nEducation:\nBachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field\nUnited States Citizen or Green Card holder required\n\nExperience:\n\n6+ years of dedicated experience in data engineering, with at least 3 years focused on the Azure ecosystem within a transactional, highly regulated environment.\nCore Languages: Mastery of T-SQL and advanced relational database concepts, alongside strong scripting proficiency in Python (or PySpark).\nOrchestration & ETL: Extensive hands-on experience building complex control flows, mapping data flows, and parameterizing pipelines in Azure Data Factory.\nBig Data Compute: Proven experience processing large-scale data using Spark clusters within Azure Databricks.\nStorage & Warehousing: Deep understanding of Azure Data Lake Storage (ADLS Gen2), Delta Lake formatting, and dedicated SQL pools in Azure Synapse.\nDevOps: Strong experience using Azure DevOps (Azure Pipelines, Repos) for version control and deploying data engineering workloads.\nSkills & Attributes:\nExcellent analytical, problem-solving, and critical-thinking skills. \nStrong communication and collaboration abilities across technical and non-technical teams. \nAbility to manage multiple projects in a fast-paced, results-driven environment\nWe are interested in candidates who are developing capabilities aligned with modern, forward-looking analytics practices. This includes experience or familiarity with semantic data modeling and governed metric layers, working within scalable cloud data platforms (e.g., Snowflake, Databricks), and integrating analytics within broader data engineering workflows. Exposure to emerging capabilities such as AI-assisted analysis, automated insight generation, and advanced data visualization techniques is highly valued.\nWHAT’S IN IT FOR YOU:\n\nJoin Our Team & Make an Impact! At Orion180, we don’t just meet expectations, we exceed them. If you’re ready to take your career to the next level and be part of a growing, forward-thinking company, apply today!\n\nDynamic Environment: On-site role with a fast-paced and collaborative team culture. Results-driven office where your contributions make a real impact.\nCompensation: Competitive base pay and performance bonuses.\nCareer Growth: Mentorship, growth tracks, and professional development.\nBenefits: Medical, dental, vision, 401k, paid holidays, PTO and more!\nThe office environment is fast-paced and collaborative.An employee must be willing and able to work their regularly assigned work schedule onsite, and in times of need, be able to work an extended schedule depending on company or departmental needs, project requirements, or customer demands.\nWhile performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking, listening, comprehending, and reading; being able to lift light objects (\nOrion180 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.\nReasonable accommodations are available for qualified individuals with disabilities during the application process. Applicants who need accommodations may email  to request assistance.","description_format":"text","description_chars":7697,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Insurance"],"lifecycle":[{"event":"open","at":"2026-09-11T01:26:41Z"}],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.53,"p_room":0.44,"age_days":64,"expected_fill_days":43,"reasons":["conf:0","urgency","win:tail","crowd:"],"computed_at":"2026-09-23T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/orion180-sr-data-engineer","json_url":"https://alion.io/job/orion180-sr-data-engineer.json","meta":{"generated_at":"2026-09-23T13:53:16Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}