{"id":2092135,"url":"https://alion.io/job/assetmark-data-engineer","title":"Data Engineer","company":{"id":5445,"name":"AssetMark","domain":"assetmark.com","url":"https://alion.io/company/assetmark","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-09T06:01:00Z"}},"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":"explicit","locations":["Charlotte, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":135000,"max":157000,"currency":"USD","period":"year","gross":null,"usd_annual":157000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"LLM","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-08T14:58:52Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-09T20:17:07Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description:\nAssetMark is a leading strategic provider of innovative investment and consulting solutions serving independent financial advisors. We provide investment, relationship, and practice management solutions that advisors use in helping clients achieve wealth, independence, and purpose.\nThe Job/What You'll Do:\nThe Data Engineer (Analytics Engineering) will be a key technical leader responsible for the architecture, development, and optimization of mission-critical data pipelines that power AssetMark's platform. This role requires an experienced individual who is comfortable representing the analytic engineering function independently with business stakeholders and can ensure data reliability and scalability across our Azure and Snowflake data stack, while proactively integrating Generative AI (GenAI) techniques into our engineering workflows and data products. The ideal candidate will transform raw data into governed, high-quality assets, mentor junior team members, and drive the adoption of modern data observability practices.\nWe can only consider candidates for this position who are able to accommodate a hybrid work schedule and are close to our Charlotte, NC office.\nKey Responsibilities:\nData Architecture & Engineering Leadership\nData Platform Development: Design, build, and optimize highly scalable and fault-tolerant ELT/ETL pipelines using dbt and SQL to transform complex datasets in Snowflake and deliver enterprise scale data assets for analytic/user consumption.\nCloud & Infrastructure: Own the data infrastructure on Azure, including leveraging services like Azure Data Factory and Azure Synapse, with expertise in setting up and managing data flows into Snowflake.\nData Modeling: Lead the design and implementation of dimensional, Kimball/Inmon models within the data warehouse to support advanced analytics and reporting.\nPerformance Optimization: Conduct performance tuning for complex SQL queries and data pipelines within Snowflake to ensure low latency and cost-efficient compute usage.\nCode Quality & CI/CD: Champion software engineering best practices, including robust unit/integration testing, automated data validation, and maintaining resilient CI/CD pipelines (e.g., using Azure DevOps or GitHub Actions).\nData Quality, Observability, and Governance\nData Quality: Define and enforce data quality standards across the transformation layer, including designing dbt and other automated tests to validate data accuracy, completeness, and consistency at each data architecture layer.\nData Reliability: Implement advanced data quality frameworks and observability solutions (e.g., Monte Carlo) to automatically monitor data freshness, volume, distribution, and schema health, proactively preventing data downtime.\nData Lineage: Establish and maintain comprehensive data lineage (e.g. Atlan) documentation and tooling to provide transparency and ensure compliance across the data transformation layer.\n Security & Compliance: Ensure all data assets and pipelines adhere to strict financial industry compliance, governance, and security standards (RBAC, encryption, PII masking).\nInnovation & Mentorship\nGenAI Integration: Proactively evaluate and pilot Generative AI techniques (e.g., leveraging LLMs via tools like GitHub Copilot or open-source frameworks) to accelerate internal development processes, generate boilerplate code, and enhance documentation.\nMentorship: Act as a technical mentor for junior data engineers, guiding them on best practices in SQL, dbt, Snowflake, data modeling, and cloud architecture.\nStakeholder Engagement: Serve as a trusted technical partner to users and data stewards - proactively learning domain context, eliciting and clarifying business rules, and applying critical thinking to evaluate tradeoffs and translate consumption needs into well-designed and scalable data assets.\nRequired Qualifications\nExperience: 3-7 years of professional experience in a Data Engineering, Analytics Engineering, or similar role, with demonstrable progression in scope and complexity.\nData Warehouse: Expertise with Snowflake architecture, optimization, and advanced SQL features.\nProgramming: Strong proficiency in SQL/dbt for data transformation; experience with Python a plus\nModeling: Solid experience with data modeling techniques, including Dimensional Modeling and developing complex ETL/ELT workflows.\nBusiness Acumen & Communication: Thrives at the intersection of data engineering and analytics - learning business domains, earning trust with business users and data stewards, and driving clarity from ambiguity to lead well-defined data solutions from requirement to delivery.\n Cloud Expertise: Proven hands-on experience building and deploying data solutions in a Cloud environment (Azure preferred)\nData Ops: Experience with modern data transformation tools like dbt and orchestration tools (e.g., Azure Data Factory, Airflow).\n Preferred Skills (Differentiators)\nExperience working in the financial services or wealth management domain.\nPrior exposure to Data Observability platforms (e.g., Monte Carlo, Atlan).\nFamiliarity with Generative AI (GenAI) concepts or hands-on use of LLM coding assistants (e.g., Copilot) to improve engineering efficiency.\nExperience with real-time or streaming data technologies (e.g., Kafka, Azure Event Hubs).\nExposure to Infrastructure as Code (IaC) tools like Terraform.\nCompensation: The Base Salary range for this position is between $135,000-$157,000.\nThis information reflects a base salary range that AssetMark reasonably expects to pay for the position based on a number of factors which may include job-related knowledge, skills, education, experience, and actual work location. This position will also be eligible for additional variable incentive compensation and competitive benefits.\nCandidates must be legally authorized to work in the US to be considered.\nWho We Are & What We Offer:\nWe are AssetMark, a company on the move, shaping the future of financial services. Growth is in our DNA. Every day, we combine technology, insight, and collaboration to create new possibilities for advisors, for our people and for our investors. At AssetMark your ideas matter; they’re heard, valued, and drive meaningful change. Join a team that sets new standards and creates space for you to thrive and do your best work.\nOur Mission\nOur mission is simple: to help our 10,500+ financial advisors make a meaningful difference in their clients’ lives. We do this by combining powerful technology, holistic support, and expert consulting to help advisors run stronger, more efficient businesses. Backed by a comprehensive suite of investment solutions and a trust company that boasts of $150B+ AUM, our platform empowers advisors to deliver exceptional service and an outstanding client experience.\nOur Values\nHeart. Client Success. Integrity. Respect. Excellence. Our values are how we show up every day.\nWe believe in:\nLeading with Heart, in truly making a difference in the lives of others: teammates, clients, investors and communities.\n\nObsessing over Client Success, bringing a relentless focus on what matters to clients that sets us apart and creates loyal, lasting relationships.\n\nUnyielding Integrity, doing what’s right, always. Even when it’s hard.\n\nCollective Respect, in being authentic, inclusive and valuing all voices while winning together.\n\nOperating with Excellence, in learning fast, continuously improving, innovating and collaborating to find new and better solutions.\n\nThese values shape our culture, guide our decisions, and define what it means to be part of the AssetMark family.\nOur Culture & Benefits\nOur culture brings our mission and values to life. Here, we do what’s right, embrace diverse ideas, and innovate together. We also offer a wide range of benefits to support you and your family-because thriving at work starts with thriving in life.\nFlex Time or Paid Time Off and Sick Time Off\n\n401K - 6% Employer Match\n\nMedical, Dental, Vision - HDHP or PPO\n\nHSA - Employer contribution (HDHP only)\n\nVolunteer Time Off\n\nCareer Development / Recognition\n\nFitness Reimbursement\n\nHybrid Work Schedule\n\nAs an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.","description_format":"text","description_chars":8276,"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":["401k plan","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Asset Management & Funds","Financial Software & Embedded Finance"],"lifecycle":[{"event":"open","at":"2026-10-08T14:58:52Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":15,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-09T06:01:00Z"},"pay":{"stated_usd_annual":157000,"is_top_pay":true},"html_url":"https://alion.io/job/assetmark-data-engineer","json_url":"https://alion.io/job/assetmark-data-engineer.json","meta":{"generated_at":"2026-10-10T00:43:05Z","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","counted_by":"address","units_charged":1,"used_today":1108,"day_limit":5000,"remaining_today":3892,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"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":5445},"rest":"https://alion.io/mcp/rest/get_company?id=5445"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fassetmark-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%2Fassetmark-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%2Fassetmark-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/assetmark-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fassetmark-data-engineer"}]}