{"id":2771666,"url":"https://alion.io/job/citiustech-sr-lead-engineer-i-snowflake","title":"Sr Lead Engineer - I Snowflake","company":{"id":2097914,"name":"CitiusTech","domain":"citiustech.com","url":"https://alion.io/company/citiustech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"RippleHire","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"PST","utc_offset_min":-8,"utc_offset_max":-8},"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["US","IN"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":46000,"period":"year","method":"role_seniority_country_cell","sample_n":14},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"ETL/ELT","optional":true},{"name":"IAM","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-21T01:30:27Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Senior Data Engineer - Snowflake & dbt\nExperience: 8+ Years | Location: Remote | Working Hours: PST Time Zone\nBuild what's next in Healthcare AI CitiusTech is a leading digital and enterprise AI company for healthcare and life sciences organizations. We enable 140+ enterprises to build a human-first ecosystem that is efficient, effective, and equitable. Leveraging deep domain expertise and next-generation technologies including AI, Cloud, Data, and Intelligent Automation, we assist our clients to realize their vision, accelerate transformation, and achieve business outcomes. With 7,700+ healthcare technology professionals worldwide, CitiusTech powers digital innovation, business transformation, and industry-wide convergence through next-generation technologies, solutions, and products. Why CitiusTech Healthcare isn't just another industry for us. It's our singular focus. For 21+ years, we have combined technology and domain expertise to shape better healthcare outcomes. As part of CitiusTech, you will build future-ready skills while becoming an expert in a domain where innovation creates real human impact. Here's an opportunity to be part of that journey. What you'll be doing As a Senior Data Engineer, you will design and implement scalable data models and pipelines that align with business objectives. You will develop and optimize data solutions using SQL, Snowflake, dbt, and Python, while supporting data profiling, data quality, performance optimization, CI/CD, and production reliability. You will collaborate closely with business leaders, Product, QA, and engineering teams to translate complex requirements into effective technical solutions. ResponsibilitiesDesign and implement scalable data models and pipelines that align with business objectives.Develop complex dbt models using advanced capabilities including macros, packages, and custom materializations.\nCollaborate with business leaders to translate complex requirements into technical solutions.\nIdentify and resolve performance bottlenecks in Snowflake queries and dbt models.\nOptimize Snowflake warehouse configurations and query performance.\nPerform data profiling to identify unique and primary keys and determine cardinality, data type, precision, scale, and data skew.\nDesign and implement data quality frameworks and testing strategies.\nCreate reusable dbt packages and macros for team-wide use.\nManage CI/CD pipelines for dbt deployments.\nReview and approve pull requests from junior team members.\nTroubleshoot production issues and implement long-term solutions.\nDocument architectural decisions and data lineage.\nCommunicate effectively within the engineering team and externally across other teams, particularly Product and QA.Understand the scope and context of the work and proactively take initiative to achieve goals rather than waiting for specific direction.What we're looking forEducational QualificationsBachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Engineering, Data Science, or a related discipline.Relevant data engineering, Snowflake, dbt, or cloud data platform certifications are desirable. Mandatory Technical Skills8+ years of experience in Data Engineering and modern data platforms.Highly skilled to expert-level SQL expertise, including Common Table Expressions (CTEs), complex joins, and analytical and windowing functions.Strong data profiling skills, including the ability to identify unique and primary keys and determine cardinality, data type, precision, scale, and data skew.Some hands-on experience with Python; intermediate or higher proficiency is preferred.Strong understanding of data engineering, data quality, ETL/ELT, and performance optimization.Effective communication skills with the ability to collaborate across engineering, Product, QA, and business teams.Ability to understand the scope and context of work, take ownership, and proactively drive toward defined goals.Mandatory Domain SkillsUnderstanding of enterprise data engineering, data quality, and data management practices.Ability to translate business requirements into scalable engineering and data solutions.Experience working collaboratively across technical and business teams.Preferred QualificationsReal-world, hands-on experience with Snowflake.Real-world experience developing data solutions using dbt.Experience with data modeling.Healthcare industry experience is desired, preferably within the healthcare payer domain.Intermediate or higher proficiency in Python is preferred.Experience working in Agile delivery environments.Key CompetenciesData Engineering & ArchitectureAdvanced SQLSnowflakedbtData Profiling & Data QualityData ModelingPerformance OptimizationProblem Solving & Analytical SkillsStakeholder CollaborationOwnership & InitiativePrimary Skills SQL, Snowflake, dbt, Python, Data Profiling, Data Modeling, Data Quality, ETL/ELT, Data Engineering, Performance Optimization, CI/CD. Good to have skillsHealthcare industry experience, preferably healthcare payer experience.Experience with advanced data modeling techniques.\nIntermediate or higher Python proficiency.\nExperience creating reusable dbt packages, macros, and custom materializations.\nExperience with automated data quality and testing frameworks.\nExperience managing CI/CD pipelines for dbt deployments.\nExperience with Snowflake warehouse configuration and performance tuning.\nWe are driven by one simple philosophy\nBe You Be Awesome\nFaster growth\nHigher learning\nStronger impact\nYou'll be encouraged to bring your perspective, challenge conventions, learn from experts, and contribute to work that directly influences the future of healthcare. Because when people are empowered to be themselves, they do their best work.\nBuild expertise beyond the role\nAt CitiusTech, learning doesn't stop with your project responsibilities. You'll have opportunities to build expertise across emerging technologies, industry domains, and next-generation engineering practices.\nAI & GenAI (LLMs, prompt engineering basics)Digital Engineering (DevOps & CI/CD, Full Stack Development)Data Engineering & Cloud (Modern Data Stack, Data Pipelines, Databricks / Snowflake)Interoperability & Integration (HL7 and FHIR)Cybersecurity (IAM, Azure Security, AWS Security Hub)Analytics (Advanced Analytics, Predictive / Prescriptive Analytics, AI/ML Models, Healthcare Analytics)Healthcare Platforms (Digital Health Platforms, Revenue Cycle Management - RCM)Product Engineering (Product-led Development, UX/UI Engineering, SaaS Product Engineering)Growth that keeps pace with your ambitionYour career journey is supported through:\nCitiusTech Academy ProgramsLeadership Development ProgramsMentorship InitiativesCapability-led Learning TracksSpecialized Healthcare CertificationsWe invest in helping our people build future-ready skills and accelerate their professional growth.\nOur approach to workingWe design work environments that enable teams to deliver meaningful outcomes. Depending on project and client needs, you may work across on-site, hybrid, or flexible models to maximize impact and collaboration. 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