{"id":1206021,"url":"https://alion.io/job/trace3-w2pe-engineer","title":"W2PE - Engineer","company":{"id":1703,"name":"Trace3","domain":"trace3.com","url":"https://alion.io/company/trace3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":7,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":54,"computed_at":"2026-09-26T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irvine, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":131000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1275},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"1C","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-24T23:33:28Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-26T23:44:49Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Who is Trace3?\nTrace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate.\nOur culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it!\nTrace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco. \nReady to discover the possibilities that live in technology?\nCome Join Us!\nStreet-Smart - Thriving in Dynamic Times\nWe are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the “big picture.” We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems.\nJuice - The “Stuff” it takes to be a Needle Mover \nWe get things done and drive results. We lead without a title, empowering others through a can-do attitude. We look forward to the goal, mentally mapping out every checkpoint on the pathway to success, and visualizing what the final destination looks and feels like.\nTeamwork - Humble, Hungry and Smart\nWe are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures - not just their success. We appreciate the individuality of the people around us.\nJOB SUMMARY\nTrace3 is seeking a Fabric Data Engineer to accelerate the enterprise Data Modernization program by building and refactoring scalable, metadata-driven ETL pipelines in Microsoft Fabric. This role will design and implement medallion architecture (Bronze, Silver, Gold) using parameterized Python notebooks to move source data from landing through governed, trusted analytical layers, reducing dependence on legacy ETL platforms and enabling faster, more reliable speed-to-insight for enterprise reporting. The Fabric Data Engineer will work hands-on to modernize existing pipelines, apply reusable and parallelized data-processing patterns, and support the broader Fabric medallion implementation already underway as part of Phase 1C of the program. This is a delivery-focused engineering role with an explicit expectation of transferring architecture, code, and operating knowledge to the current data-engineering team as the program matures.\nSUMMARY OF ESSENTIAL JOB FUNCTIONS\nFabric Pipeline & Metadata-Driven Engineering\nDesign, build, and maintain metadata-driven data pipelines in Microsoft Fabric that are reusable across source systems and entities rather than built one-off per pipeline.\nDevelop and maintain a metadata/configuration-driven framework that governs ingestion, transformation, and load behavior across the pipeline estate.\nStandardize ingestion patterns using parameterized notebooks to minimize duplicate logic and simplify ongoing maintenance.\nMedallion Architecture Implementation\nBuild and refactor Bronze, Silver, and Gold layers in the Fabric Lakehouse/Warehouse, ensuring each layer meets defined validation and quality gates before promotion.\nPreserve source fidelity in the landing zone and implement conformed, deduplicated, and historized data in Silver in support of downstream Gold transformations.\nApply warehouse-side transformation logic and support native-service patterns (e.g., Dataflows Gen2, Fabric Data Factory) as part of the broader platform modernization effort.\nPython Notebook Development & Parallel Processing\nDevelop Python notebooks (including PySpark-based processing) to support scalable, parallel data-processing pipelines that improve data-processing efficiency and reduce time to insight.\nBuild restartable, incremental, and schema-aware processing logic that scales across growing data volumes and source counts.\nData Quality, Validation & Operational Controls\nImplement data validation and quality checks at each layer (landing, Bronze, Silver, Gold) rather than treating validation as an end-stage activity.\nMaintain operational evidence for pipeline runs, notebook executions, merges, and quality results to support troubleshooting and auditability.\nSupport performance tuning, refresh-frequency optimization, and capacity-efficient pipeline design within Fabric.\nCollaboration, Documentation & Knowledge Transfer\nPartner with the Director, Data and Analytics Enablement and the current data-engineering team to align pipeline design with governance, metadata, and certified-dataset standards.\nDocument architecture, code, and runbooks, and actively transfer operating knowledge so the current data-engineering team can independently operate, troubleshoot, and extend delivered pipelines.\nCollaborate with reporting, governance, and platform stakeholders to ensure pipeline outputs support trusted, consistent enterprise reporting.\nREQUIRED SKILLS AND EXPERIENCE\n3+ years of hands-on data engineering experience building production ETL/ELT pipelines.\nDemonstrated experience designing and implementing metadata-driven data pipelines (parameterized, configuration-based pipeline patterns rather than one-off builds).\nStrong proficiency in Python, including experience building notebook-based data-processing pipelines (PySpark or equivalent) for parallel/distributed processing.\nHands-on experience with Microsoft Fabric and/or Databricks, including notebooks, Lakehouse/Warehouse objects, and pipeline orchestration.\nPractical experience implementing medallion (Bronze/Silver/Gold) data architecture, including data validation, deduplication, and historization patterns.\nWorking knowledge of SQL and relational data warehousing concepts.\nExperience with cloud-based analytics platforms (Azure preferred).\nStrong troubleshooting skills and ability to document and communicate technical designs to both technical and non-technical stakeholders.\nIt’s a Plus If You Have:\nExperience migrating pipelines from Azure Data Factory or similar legacy ETL platforms into Fabric-native services.\nFamiliarity with Power BI semantic models and downstream reporting consumption patterns.\nMicrosoft Fabric certifications (e.g., DP-600, DP-700) or equivalent Databricks certifications.\nExperience operating in a consulting or client-delivery environment.\nPHYSICAL DEMANDS\nWhile performing the standard duties of this job, the employee can expect light physical exertion with long periods of sitting, occasional standing and walking; limited bending, crouching, stooping, stretching, reaching, or similar activities; occasional lifting/moving of items up to 25 pounds. Hearing and speech communication in person and over the telephone is essential to fulfilling the duties of this position. Specific vision abilities required to read printed materials and a computer screen, including close vision and the ability to adjust focus.\nActual salary will be based on a variety of factors, including location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base salary.\nEstimated Pay Range\n$120—$150 USD\nThe Perks\nComprehensive medical, dental and vision plans for you and your dependents\n401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability\nCompetitive Compensation\nTraining and development programs\nMajor offices stocked with snacks and beverages\nCollaborative and cool culture\nWork-life balance and generous paid time off\nOur Commitment\nAt the core of Trace3's DNA is our people. We are a diverse group of talented individuals who understand the importance of teamwork and demonstrating leadership, character, and passion in all that we do.\nWe’re committed to fostering an inclusive workplace where everyone feels respected, valued, and empowered to grow. We recognize that embracing diversity drives innovation, improves outcomes, fosters collaboration, boosts teammate satisfaction, and builds a more inclusive culture.\nAs an equal opportunity employer, Trace3 bases all employment decisions based on individual qualifications, merit, and business requirements. We do not engage in discrimination on the basis of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or any other characteristic protected by federal, state, or local law.\nAny demographic information provided is strictly voluntary, kept confidential in accordance with Equal Employment Opportunity (EEO) regulations, and will not be used in employment decisions, including hiring, promotions, or mentorship programs. We are committed to providing equal employment opportunities for all.\nIf you require a reasonable accommodation to complete the application process or participate in an interview, please email .\n***To all recruitment agencies: Trace3 does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Trace3 employees or any other company location. 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