{"id":1014848,"url":"https://alion.io/job/modus-create-data-engineer-forward-deployed","title":"Data Engineer — Forward Deployed","company":{"id":678794,"name":"Modus Create","domain":"moduscreate.com","url":"https://alion.io/company/moduscreate","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Colombia","India","Mexico","Poland","Romania","United States"],"countries":["CO","IN","MX","PL","RO","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Hudi","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Glue","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Hadoop","optional":false},{"name":"LLM","optional":false},{"name":"Looker","optional":false},{"name":"MLFlow","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Collibra","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-17T21:20:49Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-11-04T06:16:55Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Opportunity\nYou won't be building from the sidelines. As a Modus Data Engineer embedded in our Modus Data & ML practice, you operate as a forward deployed engineer - right at the frontier of enterprise data transformation. You'll work directly with clients to accelerate pre-sales opportunities, collaborating with Sellers to turn data challenges into production-grade solutions.\nOur team drives data platform engineering, big data modernization, and analytics transformation for some of the largest organizations in the world - helping them migrate to cloud-native data platforms, build scalable data pipelines, and unlock the full value of their data estates on AWS and beyond. You'll be in the room (or the call) where it happens, turning ambiguity into architectures and architectures into outcomes.\nThis isn't a role for people who want to sit back and review tickets. You'll lead Executive Conversations, drive proof-of-concepts, run technical workshops, and build reusable IP that multiplies impact across customers, market segments, and technology domains. If you thrive on complexity, love building scalable patterns, and want your work to directly shape enterprise deals and client outcomes - this is your seat.\nWhat you'll do\nLead technical pre-sales engagements - Executive Conversations, workshops, POCs - directly alongside Sellers, turning ambiguous client data challenges into validated, production-ready architectural solutions.\nArchitect and deliver end-to-end data platform solutions across the modern data stack: ingestion, transformation, storage, orchestration, and visualization.\nDesign and implement scalable big data pipelines using Spark, Scala, EMR, Glue, and Airflow - processing petabyte-scale workloads with reliability and efficiency.\nBuild and optimize data warehousing and lakehouse solutions on Snowflake, Databricks, Redshift, and Apache Hadoop ecosystems.\nImplement data transformation frameworks using dbt and deliver BI solutions across Power BI, Tableau, QuickSight, and Looker.\nIntegrate AI and ML capabilities into data platforms - building feature stores, ML pipelines, model serving infrastructure, and GenAI-powered data workflows.\nIdentify repeatable patterns, build reusable architectural IP, and influence senior stakeholders as a credible voice on data modernization strategy.\nDrive force-multiplication: create mechanisms, enablement assets, and documentation that scale your impact well beyond your direct engagements.\nRequirements\nCloud data platforms: hands-on experience with Snowflake, Databricks, Amazon Redshift, and/or Apache Hadoop (HDFS, YARN, Hive) - plus AWS big data services including EMR, Glue, Athena, Lake Formation, and Kinesis.\nBig data processing: production Spark in PySpark and/or Scala for batch and streaming; Apache Airflow for orchestration; AWS Glue for serverless ETL/ELT; Kafka or Kinesis for streaming pipelines.\nData transformation & modeling: hands-on dbt (modular pipelines, tests, CI/CD integration); strong SQL across analytical databases; experience with Kimball, Data Vault, or OBT modeling patterns and lakehouse formats (Delta Lake, Iceberg, Hudi).\nData visualization & BI: experience delivering solutions on one or more of Power BI, Tableau, Amazon QuickSight, or Looker - including semantic layer design, governance, and performance optimization.\nAI & ML integration: experience with ML workflows (feature engineering, model pipelines, MLOps with MLflow or W&B); familiarity with GenAI/LLMs in data contexts (RAG, NL2SQL, LLM-powered data quality); exposure to AWS AI services (SageMaker, Bedrock).\nCore engineering: strong Python and/or Scala fundamentals; ability to write clean, tested, maintainable code and apply engineering discipline to data work.\nClient-facing delivery: comfort translating technical depth into business language; ability to lead POC engagements end-to-end and present to senior stakeholders.\nDistributed teamwork: experience in async-first, globally distributed environments - you don't need to be in the same timezone to drive outcomes.\nBonus Points\nAWS certifications: Data Analytics Specialty, Solutions Architect, Machine Learning Specialty, or Database Specialty.\nDatabricks certifications or Snowflake SnowPro credentials.\nExperience with data mesh, data contracts, or data product frameworks.\nBackground in consulting, professional services, or solutions engineering - you know how to run a room.\nFamiliarity with data governance and cataloging tools (Glue Catalog, Unity Catalog, Collibra).\nContributions to open-source data tooling, dbt packages, Spark libraries, or reusable architectural patterns\nYou'll Love\nBeing the technical voice in the room - not just a builder in the back, but a strategic force in enterprisedata deals.\n\nWorking at the intersection of data engineering, big data, cloud infrastructure, and generative AI onproblems that actually matter at scale.\n\nBuilding reusable IP that outlives individual engagements and shapes how entire market segmentsmodernize their data platforms.\n\nCollaborating with Fortune 500 clients and a globally distributed team of sharp, low-ego engineers.The autonomy to define solutions, the support to deliver them, and the recognition when they land\n\nBy joining our team, you'll be part of a group that values precision, honest communication, and delivering work that stands up to scrutiny. Apply now and show us you've got what it takes to build data platforms that matter.","description_format":"text","description_chars":5447,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software Development","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-09-17T22:27:14Z"}],"visa":[],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.578,"p_room":0.45,"age_days":47,"expected_fill_days":29,"reasons":["conf:0","win:tail"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/modus-create-data-engineer-forward-deployed","json_url":"https://alion.io/job/modus-create-data-engineer-forward-deployed.json","meta":{"generated_at":"2026-11-04T07:19:51Z","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":11454,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":678794},"rest":"https://alion.io/mcp/rest/get_company?id=678794"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmodus-create-data-engineer-forward-deployed"},{"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%2Fmodus-create-data-engineer-forward-deployed"},{"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%2Fmodus-create-data-engineer-forward-deployed"},{"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/modus-create-data-engineer-forward-deployed\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmodus-create-data-engineer-forward-deployed"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1014848}},{"tool":"search_jobs","arguments":{"company":"moduscreate.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1014848},"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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