{"id":1247530,"url":"https://alion.io/job/algoworks-data-engineer","title":"Data Engineer","company":{"id":2091826,"name":"Algoworks","domain":"algoworks.com","url":"https://alion.io/company/algoworks-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":3000000,"max":3500000,"currency":"INR","period":"year","gross":null,"usd_annual":36687},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"GraphQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-03T12:34:00Z","employer_posted_date":"2026-08-03","last_verified_at":"2026-09-28T18:31:52Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":56},"description":"Role: Data Engineer\nLocation: India, Remote\nExperience: 6-8 Years\nAlgoworks\nwww.algoworks.com\nAbout the company\nAlgoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.\nFor over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.\nAt Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.\nThrough collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.\nFollow the video below to know about us! Clipchamp\nRole overview\nWe are seeking a Data Engineer with strong experience in Snowflake, Dagster, dbt, Python, PySpark, GraphQL and SQL to build reliable, scalable and well-governed data platforms.\nYou will design data pipelines, transformation models and integration services that enable trusted analytics and efficient access to business data across the organization.\nKey responsibilities:\n1.Data pipeline development\nDesign, develop and maintain orchestrated data pipelines using Dagster, Python and PySpark.\nBuild modular, tested and documented transformation models using dbt.\nDevelop and optimize Snowflake data models, SQL queries and warehouse workloads.\n2.Data quality and integration\nImplement data-quality checks, observability, lineage and failure-handling mechanisms across pipelines.\nIntegrate data sources and downstream consumers through APIs, including GraphQL-based interfaces where required.\n3.Collaboration\nWork with analytics, product and engineering teams to translate business requirements into dependable data solutions.\nContribute to code reviews, documentation, deployment pipelines and production support processes.\nRequired technical skills and competencies:\n3+ years of data engineering experience with cloud data platforms.\nStrong hands-on experience with Snowflake, Dagster and dbt.\nAdvanced Python and SQL skills with experience building production-grade pipelines.\nWorking knowledge of PySpark for distributed data processing.\nExperience with data modelling, orchestration, testing and performance optimization.\nMust have skills:\nStrong Snowflake, dbt and SQL development experience.\nHands-on pipeline orchestration using Dagster.\nSolid Python and PySpark programming skills.\nAbility to build reliable, tested and maintainable data workflows.\nGood to have skills:\nExperience designing GraphQL APIs or integrating GraphQL data sources.\nKnowledge of data governance, lineage, observability and metadata management.\nExposure to cloud services, containerization and infrastructure-as-code.\nExperience with CI/CD practices for data pipelines and dbt projects.\nHands-on experience using AI-assisted development tools is an advantage.\nDesired attributes:\nStrong ownership mindset and disciplined engineering approach.\nExcellent analytical and troubleshooting skills.\nEffective communicator who collaborates well with technical and business stakeholders.\nHigh attention to data quality, reliability and operational excellence.\nPassion for continuous improvement and scalable data engineering practices.\nInterview process\n2 rounds of discussion.","description_format":"text","description_chars":4116,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Science & Engineering","Mobile Games","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-09-25T17:58:41Z"}],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.517,"p_room":0.35,"age_days":55,"expected_fill_days":23,"reasons":["conf:4","velocity","win:tail"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":36687,"is_top_pay":false},"html_url":"https://alion.io/job/algoworks-data-engineer","json_url":"https://alion.io/job/algoworks-data-engineer.json","meta":{"generated_at":"2026-09-28T22:14:38Z","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":235,"day_limit":5000,"remaining_today":4765,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}