{"id":1247444,"url":"https://alion.io/job/sikich-data-engineer-azure","title":"Data Engineer (Azure)","company":{"id":1878368,"name":"Sikich","domain":"sikich.com","url":"https://alion.io/company/sikich","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jobvite","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":197000,"period":"year","method":"global_role_seniority_cell","sample_n":1254},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T17:58:37Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-26T14:32:03Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Description\nData Engineer\nWhat to expect when you join Sikich\nTeam members at Sikich have a lot in common while also being part of a rich and varied group of contributors, creating a distinct and thriving culture. Chief among our commonalities is a desire for growth and a shared unity of purpose in our professional lives. We believe that through different perspectives, challenging the status quo and rewarding action, we accelerate innovation and drive growth - for our clients, for ourselves and for our communities.\nThe professional services landscape continues to evolve. For Sikich, this means we have an opportunity to further cement our leadership position in this industry and continue to grow our organization in increasingly exciting ways. This growth is meaningful for every team member at our company because larger companies simply see more interesting client opportunities and can attract impressively talented individuals like you. Through a dedicated focus on key business priorities and intentionally creating a rewarding employee experience, Sikich has developed into a highly regarded provider of professional services and a sought-after employer of choice.\nDo you want to work with other skilled practitioners and serve clients in a way that makes a difference? Are you seeking a supportive environment backed by a deep and extensive set of skillsets? Are you ready to make an impact and be acknowledged for your contributions? If you answered yes to these questions, we see a mutually beneficial and gratifying relationship on the horizon!\nAre you ready to grow with us? \nPosition Summary\nSikich India is seeking an experienced Data Engineer to join our Data & AI practice. You will design, build, and optimize end-to-end data solutions using Microsoft’s data platforms, including Microsoft Fabric, Azure Synapse Analytics, Databricks, and Power BI. Your work will involve implementing contemporary data architecture patterns (e.g., medallion, DataMesh, Zone-Based, or Lambda, etc...), creating robust data pipelines, and delivering insight-driven analytics to help clients make informed decisions.\nWhat will you do in this role?\nData Engineering & Architecture\nDesign and implement data solutions using ADF, Microsoft Fabric, Synapse, Databricks.\nBuild data models for scalable data processing, endpoint processing, and integration.\nDevelop and optimize data pipelines (real-time, batch, and BYOD).\nData Modeling & Analytics\nCreate semantic models and dimensional models in Power BI.\nBuild enterprise dashboards, paginated reports, and self-service analytics solutions.\nImplement row-level security, complex DAX measures, and model optimizations.\nPlatform Operations & Governance\nApply DataOps practices, monitoring, and performance tuning.\nEnsure data security, quality, and governance.\nIntegrate predictive analytics with Azure ML where required.\nWhat do you need to succeed in this role?\n5-7 years of data engineering experience (minimum 3 years in Microsoft technologies).\nStrong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, Power BI.\nProficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, Power Query (M).\nExperience with real-time streaming (Event Hubs/Kafka) and batch processing.\nProven track record in implementing medallion architecture and enterprise BI solutions.\nIn addition, specific skills/experience required are as follows:\nServant Leader - You are hyper focused on engaging employees, fostering their development, and building a positive culture. \nSolutions Focused - You see opportunities in every business problem and can develop, articulate, and implement solutions. \nCollaboration - You are a relationship builder across all levels of the organization and across all business units. \nInstills Trust - You do what you say, and you follow through on commitments, you act with integrity, you are consistent and are perceived as credible. \nImpact & Influence Thinking - You gain support for ideas, proposals, and solutions, and get others to act, with or without formal authority, to advance initiatives/objectives. \nAbout Sikich\nSikich offers the public and private sectors a varied platform of professional services across consulting, technology and compliance. Highly specialized and hands-on teams deliver integrated solutions rooted in deep industry experience. Our approach is strategically and thoughtfully designed to help our clients, teams, and communities accelerate success\nWe also offer:\nFamily Health Insurance including parents\nLife & Accident Insurance\nMaternity/paternity leave\nPerformance-based incentives\nReferral Bonus program\nExam Fee Reimbursement Policy\nIndian festival holidays\n5 days working week\nMeals facility\nDoctor's consultation\nWant to learn more? Visit ourCareers website or Glassdoor profile.\nSikich is an Equal Opportunity Employer M/F/D/V\nSikich currently practices in an alternative practice structure in accordance with the AICPA Professional Code of Conduct and applicable law, regulations, and professional standards. Sikich CPA LLC is a licensed CPA firm that provides audit and attest services to its clients. Sikich LLC has a contractual arrangement with Sikich CPA LLC under which Sikich LLC provides Sikich CPA LLC with professional and support personnel and other services to support Sikich CPA LLC’s performance of its professional services, and Sikich CPA LLC shares certain client information with Sikich LLC with respect to the provision of such services.","description_format":"text","description_chars":5471,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T17:58:37Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":30,"reasons":["conf:15","velocity","win:early"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/sikich-data-engineer-azure","json_url":"https://alion.io/job/sikich-data-engineer-azure.json","meta":{"generated_at":"2026-09-28T02:39:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1390,"day_limit":5000,"remaining_today":3610,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}