{"id":2774179,"url":"https://alion.io/job/actualize-data-engineer","title":"Data Engineer","company":{"id":3810645,"name":"Actualize","domain":"actualize.co.in","url":"https://alion.io/company/actualize-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13500,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-09T22:12:48Z","employer_posted_date":null,"last_verified_at":"2026-10-09T22:12:48Z","board_verified":false,"closed_at":null,"days_open":18,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":18},"description":"As a Data Engineer, you'll work alongside experienced engineers who will mentor you while you contribute to mission-critical solutions across our Azure and Snowflake data stack. You'll help onboard and move data from diverse internal and external sources, support MDS tools and related services, and improve data reliability, governance, security, and observability. You will gain experience with AssetMark's modern data ecosystem, including Snowflake, dbt, Fivetran, Monte Carlo, Immuta, and Atlan, while developing the technical expertise and business knowledge to take on increasingly complex responsibilities.\nAs part of AssetMark's Hyderabad Technology Center, our India global capability center (GCC), this role is based in Hyderabad and follows a hybrid work model. You will collaborate with colleagues across India and the United States, with reasonable working-hour overlap when needed for team ceremonies, planning, production support, and delivery.\nKey Responsibilities\nData Platform Engineering: Design, build, test, and maintain scalable, reliable, and fault-tolerant ETL/ELT pipelines and reusable platform components across Azure and Snowflake.\nData Ingestion & Source Onboarding: Integrate complex financial data from internal systems, third-party providers, databases, APIs, and files; support batch and near-real-time ingestion patterns where appropriate.\nIntegrations, Data Feeds & MDS Support: Develop and operate inbound and outbound integrations and data feeds, support MDS tools and dependencies, troubleshoot production issues, and help ensure reliable delivery to downstream consumers.\nData Reliability & Operations: Monitor pipeline health, freshness, volume, schema changes, and failures; respond to incidents, perform root-cause analysis, and improve performance, resilience, recoverability, and cost efficiency.\nData Quality, Governance & Security: Implement automated validations, documentation, lineage, cataloging, access controls, encryption, and sensitive-data protections in accordance with financial-industry governance and security standards.\nEngineering Practices: Use Python, SQL, and fit-for-purpose data tools to deliver maintainable solutions; follow Git-based workflows, code reviews, testing, automated deployment, and CI/CD standards using platforms such as Azure DevOps or GitHub Actions.\nBusiness & Technical Collaboration: Partner with product managers, business users, operations teams, data stewards, analysts, and engineers to understand processes, clarify requirements, and translate business needs into scalable technical solutions.\nGlobal Delivery & Continuous Improvement: Participate actively in agile ceremonies, retrospectives, documentation, and knowledge sharing across the GCC and U.S. teams, and responsibly use AI-assisted engineering methods to improve development, testing, documentation, and troubleshooting.\nKnowledge, Skills, Abilities\nPractical experience designing, building, and supporting ETL/ELT pipelines, data ingestion processes, system integrations, and data feeds\nWorking knowledge of Python and SQL for data movement, automation, validation, troubleshooting, and operational support\nExperience with cloud data platforms, especially Microsoft Azure and Snowflake\nFamiliarity with modern data engineering, governance, and observability tools, including Snowflake, dbt, Fivetran, Monte Carlo, Immuta, and Atlan\nUnderstanding of orchestration, APIs, database connectivity, file-transfer patterns, scheduling, and dependency management\nFamiliarity with medallion architecture and core data modeling concepts used to organize and manage data across platform layers\nUnderstanding of data quality, lineage, cataloging, access control, privacy, and secure handling of sensitive or regulated data\nExperience with version control, collaborative Git workflows, automated testing, and CI/CD practices\nStrong problem-solving skills and the ability to investigate ambiguous data, integration, platform, or tool issues methodically\nExcellent communication skills and the ability to collaborate across technical and business teams in a hybrid, globally distributed organization\nExperience in wealth management, asset management, financial technology, or a related financial-services domain is a plus\nQualifications & Experience\n3+ years of experience in data engineering, data integration, software engineering, platform engineering, or a related technical role\nBachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience\nExperience working with sensitive or regulated financial data and following secure data-handling practices is required\nWhy Join AssetMark\nBuild global data capabilities from AssetMark's Hyderabad Technology Center, an important part of our India GCC\nWork across a broad data engineering ecosystem that includes the data platform, ingestion, integrations, data feeds, MDS support, quality, governance, and observability\nWork with modern data technologies while learning industry best practices through structured mentorship from experienced engineers\nDevelop both technical and business domain expertise in the wealth management industry, with clear advancement pathways as you grow\nCollaborate with colleagues in India and the United States on meaningful technology that supports financial advisors and their clients\nAccess comprehensive training resources, workshops, and learning materials designed to accelerate your professional development\nEnjoy comprehensive benefits, competitive compensation, and a supportive work environment that values your growth\nOpportunity to build your career in a high-growth company backed by private equity\nOur Commitment\nAssetMark values diversity of thought and background and is committed to building an inclusive workplace. We encourage applications from candidates of all backgrounds, including those who are traditionally underrepresented in technology.\nEmployment is subject to applicable local requirements and successful completion of AssetMark's hiring process.\nBuild technology that helps financial advisors serve their clients and grow their businesses.","description_format":"text","description_chars":6187,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Professional development"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-17T05:42:01Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":0.85,"p_active":0.816,"p_room":0.75,"age_days":18,"expected_fill_days":24,"reasons":["seen:18","velocity","win:late"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/actualize-data-engineer","json_url":"https://alion.io/job/actualize-data-engineer.json","meta":{"generated_at":"2026-10-28T18:00:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24615,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3810645},"rest":"https://alion.io/mcp/rest/get_company?id=3810645"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Factualize-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Factualize-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Factualize-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/actualize-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Factualize-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2774179}},{"tool":"search_jobs","arguments":{"company":"actualize.co.in","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2774179},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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