{"id":2341743,"url":"https://alion.io/job/dla-piper-data-engineer","title":"Data Engineer","company":{"id":1754449,"name":"DLA Piper","domain":"dlapiper.com","url":"https://alion.io/company/dlapiper-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":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reston, United States","San Diego, United States","San Francisco, United States","Washington, United States","Wilmington, United States","Phoenix, United States","Los Angeles, United States","Houston, United States","Boston, United States","Austin, United States","Atlanta, United States","Raleigh, United States","Baltimore, United States","New York, United States","Dallas, United States","Palo Alto, United States","Minneapolis, United States","Chicago, United States","Seattle, United States","Philadelphia, United States","Miami, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100787,"max":160255,"currency":"USD","period":"year","gross":null,"usd_annual":160255},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Java","optional":true},{"name":"Platform Engineering","optional":true},{"name":"PowerShell","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-13T00:07:12Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let’s see what we can achieve. Together.\nSummary\nThe Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics, reporting, and downstream solutions. The role focuses on operationalizing pipelines with governance and service expectations (SLAs), improving data quality and reusability, and enabling secure access to integrated data in support of business initiatives. In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution teams can consume data consistently.\nLocation\nThis position can sit in any of our U.S. offices and offers a hybrid work schedule.\n Responsibilities\nData Pipeline Engineering & Integration\nBuild and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs).\n\nBuild and maintain ingestion, transformation, and publication of pipelines (data engineering practice) to deliver analytics-ready data.\n\nConsolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field mappings and transformations to support consistent downstream consumption.\n\nData Platform & Storage\nDesign and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs and other systems.\n\nBuild and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads.\n\nData Quality, Reliability & Operations\nIdentify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best practices to keep pipelines reliable and performant.\n\nContribute to data quality and governance practices, including profiling datasets, defining quality rules, and establishing monitoring/remediation approaches.\n\nCollaboration & Delivery (Agile Pod Model)\nWork cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery.\n\nSupport pod-level delivery by producing reusable data assets and integration components that can be leveraged across multiple initiatives.\n\nDesired Skills\nProficiency in SQL and Python.\n\nData pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS).\n\nData warehousing experience (Azure Synapse Analytics) and strong fundamentals in data modeling, warehousing, and governance.\n\nScripting/automation skills (PowerShell and related tooling) for platform operations and troubleshooting.\n\nPreferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL-based integration layer; and familiarity with DataOps concepts and operating in cross-functional teams that include data engineering personas.\n\nThe measures of success for this role include delivering data pipelines with trusted, quality data with agreed service levels, enabling faster onboarding of new data and more consistent analytics/AI consumption and creating reduced manual effort through reusable integrations and standardized transformations, improved data reliability and operational readiness.\n\nMinimum Education\nHigh School or GED\n\nPreferred Education\nBachelor's Degree in Computer Science, Engineering, or related field.\n\n Minimum Years of Experience\n3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).\n\nEssential Job Expectations\nAll DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include:\nCommunicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences.\nProduce high-quality work and respond to correspondence in an efficient, timely, and professional manner.\nMeet deadlines, manage competing priorities, and commit to meeting high standards.\nComply with firm policies and procedures.\nMaintain confidences as required in a law firm environment.\nPhysical Demands\nSedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international.\nWork Environment\nThe selected candidate will have the opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiringand may be modified at the firm's discretion.\nCompensation & Benefits\nThe firm's expected hiring range for this position is $100,787 - $160,255, depending on the candidate's geographic location, experience, skills, educational background, and overall qualifications.\nDLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, and additional benefits.\nApplication Process\nInterested candidates must apply directly online. Application materials sent via email will not be accepted.\nReasonable accommodations may be made upon request to enable individuals with disabilities to perform the essential functions of this position or participate in the selection process. For accommodation requests, please contact .\nAgency applications will not be considered.\nNo immigration sponsorship is available for this position.\nDisclaimer\nThis job description provides a concise overview of the role and is not intended to describe all work elements that may be performed. It should not serve as the sole criteria for personnel decisions. Job duties, requirements, and expectations may be modified at the firm's discretion at any time. This job description does not alter the at-will nature of employment.\nWe are committed to excellence in how we serve our clients and develop our people.\n#LI-GB1\n#LI-Hybrid\nDLA Piper 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 status as a protected veteran. 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