{"id":3272095,"url":"https://alion.io/job/batchelor-kimball-database-engineer","title":"Database Engineer","company":{"id":668794,"name":"Batchelor & Kimball","domain":"bkimechanical.com","url":"https://alion.io/company/bkimechanical","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"A","score":92,"open_postings":6,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-29T05:49:05Z"}},"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":"explicit","locations":["Conyers, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":87000,"max_usd":189000,"period":"year","method":"role_country_seniority_unknown","sample_n":3718},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-26T12:10:24Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-26T17:29:59Z","board_verified":false,"closed_at":"2026-10-26T17:29:59Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Title: Database Analyst\nLocation: Conyers, Georgia\nOverview\nDesign, build and establish a greenfield Azure-based data lakehouse platform to support business analytics, reporting, and AI/ML initiatives. This role will develop scalable data pipelines, create governed and AI-ready datasets, and partner with business and technical teams to deliver reliable insights and intelligent data solutions.\nEssential Duties & Responsibilities\nDesign, build, and implement a new Azure-based data lakehouse platform to support business reporting, analytics, and AI/ML use cases.\nDevelop and maintain scalable ETL/ELT processes for data ingestion, transformation, cleansing, enrichment, and delivery across structured, semi-structured, and unstructured data sources.\nImplement lakehouse architecture patterns, including bronze/silver/gold data layers, Delta Lake table design, and curated data products for business and AI consumption.\nDesign and optimize data models, semantic models, dimensional models, and curated datasets to support Power BI reporting, KPI tracking, business analytics, and AI training workflows.\nImplement and manage data storage solutions including Microsoft Fabric OneLake, Azure Data Lake Storage, relational databases, lakehouses, warehouses, and other Azure data platform services.\nEnsure data quality, integrity, lineage, metadata management, security, privacy, retention, and governance across all data platform components.\nCollaborate with business stakeholders, and operational teams to understand data requirements, validate business logic, and display data meaningfully.\nCollaborate with AI development team to prepare AI-ready datasets, improve data relevance, support feature engineering, and ensure training data is accurate, traceable, and appropriately governed.\nConfigure data guardrails, access controls, classification, and filtering rules to improve AI decision making and ensure only relevant, approved, and secure data is referenced.\nMonitor, troubleshoot, and improve the performance, reliability, and cost efficiency of data pipelines, workflows, compute resources, and cloud data services.\nAutomate data processes using data engineering best practices, CI/CD methods, version control, reusable pipeline patterns, documentation, and operational runbooks.\nPartner with business leaders and technical teams to establish data platform standards, architecture decisions, and long-term support practices for a newly implemented enterprise data environment.\nQualifications\nBachelor’s degree in Data Science/Analytics, Computer Science, Computer Engineering, Information Systems, associated discipline, or equivalent technical experience.\nMinimum of 3 plus years of hands-on data engineering, database engineering, analytics engineering, or cloud data platform implementation experience.\nDemonstrated experience designing, implementing, or significantly contributing to a new data platform, lakehouse, data warehouse, or analytics environment; greenfield implementation experience is strongly preferred.\nStrong working knowledge of Microsoft Fabric components including OneLake, Data Factory, Data Engineering, Data Warehousing, Data Science, Real-Time Analytics, and Power BI.\nExperience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure SQL, Synapse, Azure Databricks, Key Vault, RBAC, and related Azure security and governance capabilities.\nHands-on experience with Apache Spark, PySpark, SQL, Python, Delta Lake, lakehouse architecture, data warehousing concepts, and structured/unstructured data processing.\nAbility to design reliable ingestion patterns from business systems, APIs, databases, flat files, and cloud sources, including incremental loads, change data capture, validation, and error handling.\nExperience preparing clean, governed, documented, and repeatable datasets for AI/ML training, analytics, forecasting, decision support, or advanced automation use cases.\nStrong understanding of data governance, security, access controls, privacy, lineage, metadata, data quality, auditability, and responsible AI data boundaries.\nExperience building curated datasets, semantic models, dimensional models, star schemas, KPI definitions, and Power BI-ready data products for business users.\nFamiliarity with DevOps practices for data platforms, including version control, CI/CD, infrastructure as code, monitoring, alerting, performance tuning, cost management, and production support.\nStrong communication skills with the ability to work directly with business stakeholders, analysts, AI developers, and technical teams to translate business needs into scalable data solutions.\nPreference for applicants who have worked in smaller teams or broad-ownership roles where they were responsible for architecture, implementation, stakeholder engagement, governance, and ongoing support rather than only maintaining an existing system.\nHeadquartered in Conyers, Georgia, Batchelor & Kimball takes pride in partnering with our clients to deliver excellent results from engineering and construction to operations and maintenance. We offer design/build and turnkey construction services, including teaming with selected subcontractors for electrical and general construction.\nThere’s not a lot of BS here, and not a lot of turnover. Good people work at Batchelor & Kimball. We’re good at our jobs, and good to each other. We have high expectations because the work is challenging, but we know the most valuable thing about the work is the people who do it. If this sounds like a good fit for you, we’d like to meet you! If you are looking to grow your career and thrive in a team environment, then we invite you to apply for this position.","description_format":"text","description_chars":5700,"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":["Construction","HVAC & Refrigeration"],"lifecycle":[{"event":"open","at":"2026-10-26T12:10:24Z"},{"event":"close","at":"2026-10-26T17:29:59Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":142500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/batchelor-kimball-database-engineer","json_url":"https://alion.io/job/batchelor-kimball-database-engineer.json","meta":{"generated_at":"2026-10-29T08:34:32Z","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":12921,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":668794},"rest":"https://alion.io/mcp/rest/get_company?id=668794"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbatchelor-kimball-database-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%2Fbatchelor-kimball-database-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%2Fbatchelor-kimball-database-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/batchelor-kimball-database-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbatchelor-kimball-database-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3272095}},{"tool":"search_jobs","arguments":{"company":"bkimechanical.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3272095},"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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