{"id":3098685,"url":"https://alion.io/job/karthik-consulting-data-engineer-remote-telecommute","title":"Data Engineer Remote / Telecommute","company":{"id":4461470,"name":"Karthik Consulting","domain":"karthikconsulting.com","url":"https://alion.io/company/karthik-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":157000,"period":"year","method":"global_role_seniority_cell","sample_n":1015},"experience_years_min":5,"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":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Oracle","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-10-22T14:49:27Z","employer_posted_date":null,"last_verified_at":"2026-10-22T14:49:27Z","board_verified":false,"closed_at":null,"days_open":12,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":12},"description":"Security clearance: Public Trust\nPosition Title: Data Engineer \n\nEmployment Type: Full-Time\n\nDepartment: Data & Cloud Engineering\n\nTech Stack: Azure Data Factory, Databricks, Oracle, SQL Server, Azure Database Services, Azure DevOps, GitHub\n\nExperience Level: Mid-to-Senior Level (5+ Years)\n\nRole Type: Data Engineering\n\nKarthik Consulting is seeking a talented and driven Data Engineer to join its enterprise data and cloud engineering team\n\nRole Overview \n\nThe Data Engineer will configure and administer enterprise-level data stores, design and maintain ETL/ELT pipelines, and support batch and streaming data transport across the organizations data platforms. This role focuses on building reliable, secure data infrastructure and integrations that support enterprise reporting and analytics needs.\n\nTechnical Scope\n\nThe engineer will leverage Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services to build and sustain enterprise data pipelines, partnering with program and project teams using Azure DevOps and GitHub within an agile delivery model to support Azure Cloud migration efforts.\n\nKey Responsibilities\n\nRequired Skills\n\n• Minimum of five (5) years of professional experience configuring and administering enterprise-level data stores, ETL/ELT methods, and batch and streaming data transport, including API development.\n\n• Hands-on understanding of data technologies to include, but not limited to, Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services.\n\n• Proficiency working within an enterprise data management infrastructure, including Azure Cloud and cloud migration efforts.\n\n• Experience utilizing program and project management tools, such as Azure DevOps and GitHub, to plan, execute, and measure projects.\n\n• Proficiency in agile development methodologies with demonstrated experience working on agile projects.\n\nPreferred Skills & Experience\n\n• Experience working with CI/CD pipelines and GitHub.\n\n• Experience developing and executing action plans to ensure security compliance and to respond to findings if they occur.\n\n• Certifications for Azure (AZ-900, DP-900, DP-203)\n\n• Certifications for Databricks (Data Engineer Associate)\n\nKey Responsibilities\n\n• Configure and administer enterprise-level data stores supporting ETL/ELT methods and batch and streaming data transport.\n\n• Design, develop, and maintain APIs to support enterprise data integration needs.\n\n• Leverage Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services to build and manage enterprise data pipelines.\n\n• Support enterprise data management infrastructure, including Azure Cloud environments and cloud migration initiatives.\n\n• Utilize Azure DevOps and GitHub to plan, execute, and measure project deliverables.\n\n• Participate in agile development processes, contributing to sprint planning, execution, and delivery.\n\n• Develop and execute action plans to maintain security compliance and respond promptly to findings.\n\nQualifications\n\nEducation\n\n• Minimum Requirement: Bachelor's degree from an accredited college or university in Computer Science, Engineering, or an applicable technical field.\n\nCore Competencies &Traits\n\n• Strong analytical and problem-solving skills applied to enterprise data infrastructure and cloud environments.\n\n• Clear, proactive communication and cross-functional collaboration within agile project teams.\n\n• Commitment to continuous improvement, security compliance, and staying current with evolving data engineering and cloud 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