{"id":4196415,"url":"https://alion.io/job/cla-cliftonlarsonallen-data-engineer-ii-databricks","title":"Data Engineer II - Databricks","company":{"id":1778806,"name":"CLA (CliftonLarsonAllen)","domain":"claconnect.com","url":"https://alion.io/company/claconnect","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":48,"ghost_share":0,"stale_share":0.563,"repost_share":0.021,"time_to_fill_p50_days":26,"computed_at":"2026-11-12T10:38:37Z"}},"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":["Milwaukee, United States","Madison, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Matplotlib","optional":false},{"name":"Microsoft Teams","optional":false},{"name":"Outlook","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-12T20:44:30Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T20:44:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.\nCLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.\nAbout the role:\nCLA is looking to hire a Data Engineer II to join our growing team. The Data Engineer II supports the design, development, and maintenance of scalable, secure, and high-performing data solutions. This role contributes to data pipeline development, data integration, platform reliability, and the delivery of trusted data solutions that support CLA’s business needs.\nThe ideal candidate has experience working with cloud-based data platforms, enjoys solving technical problems, and is eager to continue developing their data engineering skills while collaborating with experienced team members.\nAs a Data Engineer II, you will:\nBuild, test, deploy, and maintain data pipelines using Azure Databricks, Azure Data Factory, SQL, and Python.\nSupport the integration of data across databases, data warehouses, APIs, ETL processes, middleware, and other enterprise systems.\nHelp ensure data engineering solutions meet established performance, reliability, security, compliance, and governance requirements.\nCollaborate with data engineers, architects, analysts, business partners, and other technology teams to deliver scalable data solutions.\nContribute to technical design discussions, platform decisions, and continuous improvement initiatives.\nParticipate in the delivery of releases aligned with business goals, technical standards, and data governance policies.\nMonitor data pipelines and assist with troubleshooting performance, reliability, and data-quality issues.\nContribute to system reliability and maintainability through effective documentation, testing, source control, and code-quality practices.\nSupport data modeling, transformation, and data warehouse development activities.\nDevelop and maintain technical documentation, including data mappings, pipeline documentation, operational procedures, and support materials.\nParticipate in Agile delivery practices, including sprint planning, daily stand-ups, backlog refinement, demonstrations, and retrospectives.\nContinuously build knowledge of cloud data engineering technologies, emerging tools, and industry best practices.\nWhat you will need:\nExperience\nTwo years of relevant data engineering, software engineering, data integration, or related technology experience required.\nExperience working with cloud engineering technologies across Microsoft Azure or AWS required.\nExperience with Databricks required.\nExperience developing data pipelines using SQL and Python required.\nExperience with databases, data warehouses, ETL processes, APIs, middleware, and enterprise system integrations preferred.\nEducation\nBachelor’s degree required.\nA combination of relevant experience, education, and training may be accepted in lieu of a degree.\nDegree in Computer Science, Mathematics, Information Technology, Data Engineering, or a related field preferred.\nCertifications\nNo certifications are required.\nOne or more of the following certifications are preferred:\nDatabricks Certified Data Engineer Associate\nMicrosoft Certified: Azure Fundamentals\nAWS Certified Data Engineer - Associate\nTechnical skills:\nProficiency with Microsoft Azure or AWS cloud technologies.\nProficiency with Azure Databricks, Azure Data Factory, SQL, and Python.\nExperience with Apache Spark and cloud-based data-processing technologies.\nFamiliarity with GitHub or comparable source-control and development platforms.\nFamiliarity with Snowflake or comparable cloud data platforms.\nUnderstanding of data modeling, data warehousing, databases, and ETL or ELT processes.\nFamiliarity with data-visualization tools such as Microsoft Power BI, Tableau, or Matplotlib.\nProficiency with Microsoft 365 applications, including Microsoft Teams, Outlook, Word, Excel, and PowerPoint.\nAbility to document technical solutions clearly and collaborate with both technical and business stakeholders.\nTravel:\nLess than 10%.\nEqual Opportunity Employer/Protected Veterans/Individuals with Disabilities\nClick here to learn about your hiring rights.\nWellness at CLA\nTo support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, 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