{"id":138955,"url":"https://alion.io/job/proarch-data-engineer","title":"Sr. Data Engineer","company":{"id":6421,"name":"ProArch","domain":"proarch.com","url":"https://alion.io/company/proarch","size_band":"201-500","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":231000,"period":"year","method":"role_country_seniority_unknown","sample_n":2064},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Erwin","optional":false},{"name":"HIPAA","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-12T00:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-14T22:16:35Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":2},"description":"Key Responsibilities/ Accountabilities: Listing of key responsibilities / major activities necessary to fulfill the position’s purpose. If possible, please include the percentage of time spent on each key responsibility.\nAdvanced Data Engineering and Solution Design (80%)\nArchitect and implement scalable data pipelines to process and integrate structured and unstructured data.\nDesign end-to-end data solutions, including Data Lake, Data Warehouse, and Data Mart, to support analytics and operational systems.\nLeverage UDP framework to consolidate data pipelines across healthcare domains.\nSupport the integration of new data domains through standardized ingestion and transformation frameworks.\nCollaborate with stakeholders to translate business requirements into scalable, high-performing data architectures.\nIntegrate and optimize data access across distributed systems using data federation and virtualization tools\nDevelop reusable data assets to support self-service analytics across programs and business domains.\nDesign and maintain enterprise dimensional data models including fact tables, conformed dimensions, star schemas, snowflake schemas, and analytical data marts.\nTranslate business and reporting requirements into scalable analytical data structures and semantic data models.\nDevelop and maintain semantic layers, curated datasets, and business views to support enterprise reporting and analytics.\nDesign, develop, and maintain Power BI semantic models, datasets, dashboards, and reports for internal and external stakeholders.\nCreate and optimize DAX measures, calculated columns, KPIs, and business metrics to support operational and strategic reporting.\nImplement Power BI best practices including Row-Level Security (RLS), deployment pipelines, performance optimization, and governance standards.\nPartner with business users and subject matter experts to gather reporting requirements and deliver actionable analytics solutions.\nEnsure consistency of business definitions, metrics, and calculations across enterprise reporting and analytics platforms.\nData Governance and Compliance (10%)\nDevelop and enforce data governance standards, ensuring consistency, accuracy, and compliance with regulatory frameworks (e.g, HIPAA).\nImplement data lineage, metadata management, and auditability practices using tools like AWS Glue Data Catalog.\nEstablish and manage data stewardship frameworks to improve data quality and trust across the organization.\nPerformance Optimization and Security (10%)\nOptimize system performance by designing and implementing data partitioning, indexing, and compression strategies.\nEnsure data security through access controls, encryption, and secure design practices.\nRequirements\nCore Competencies\nExperience with enterprise data modeling tools (e.g., Erwin, SQL Data Modeler) and strong expertise in dimensional modeling methodologies including Star Schema, Snowflake Schema, Fact and Dimension design, and semantic modeling.\nBachelor’s or master’s degree in computer science, Engineering, or related field.\n8+ years of experience in data engineering, with a strong emphasis on data governance and solution design.\nExpertise in developing scalable data architectures for enterprise reporting\nFamiliarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment.\nAdvanced knowledge of data governance tools and frameworks, including AWS Glue Data Catalog, to support enterprise-wide lineage, metadata, and compliance practices.\nStrong understanding of cloud data platforms and services - particularly AWS (Redshift, S3, EMR, Lambda) and hybrid integrations with Azure Synapse or equivalent modern data warehouse technologies.\nProficiency in programming and scripting languages (Python, SQL, PySpark) for building testing and optimizing scalable data solutions.\nAdvanced experience developing Power BI semantic models, datasets, dashboards, reports, DAX measures, Power Query transformations, Row-Level Security, and performance optimization. Experience with Tableau is a plus.\nAdditional Qualifications:\nExcellent analytical and troubleshooting skills with attention to detail.\nStrong communication skills to effectively articulate technical concepts to non-technical stakeholders.\nAbility to prioritize tasks in a dynamic environment and manage multiple initiatives simultaneously.\nCertifications in cloud, database, and programming are a plus.","description_format":"text","description_chars":4493,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Managed Security","IT Consulting & Digital Transformation","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-08-25T00:00:00Z"},{"event":"close","at":"2026-09-28T11:45:30Z"},{"event":"reopen","at":"2026-11-12T19:29:15Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":26,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-11-14T05:58:10Z"},"pay":null,"html_url":"https://alion.io/job/proarch-data-engineer","json_url":"https://alion.io/job/proarch-data-engineer.json","meta":{"generated_at":"2026-11-14T22:48:31Z","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":30127,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":6421},"rest":"https://alion.io/mcp/rest/get_company?id=6421"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fproarch-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fproarch-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fproarch-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/proarch-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fproarch-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":138955}},{"tool":"search_jobs","arguments":{"company":"proarch.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":138955},"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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