{"id":3118145,"url":"https://alion.io/job/i4dm-sql-developer-database-engineer","title":"SQL Developer / Database Engineer","company":{"id":8388,"name":"I4Dm","domain":"i4dm.com","url":"https://alion.io/company/i4dm","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":195000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":397},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Collibra","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Delta Lake","optional":true}],"status":"live","first_seen_at":"2026-10-22T21:09:19Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-01T08:01:10Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Description\nAbout the Role\nWe are seeking an experienced SQL Developer / Database Engineer to support ATLAS, the VA’s open-architected, multi-cloud enterprise data management and analytics platform. In this role, you will design, maintain, integrate, and optimize SQL database structures, transformation logic, and data pipelines that ingest, condition, curate, and deliver multi-source data as secure, reusable enterprise data products. You will use SQL Server, Azure Data Factory, Synapse Pipelines, Databricks, Starburst, and Azure Data Lake Service to improve data reliability, performance, and interoperability across ATLAS and connected source platforms. You will troubleshoot discrepancies and ETL/ELT failures, translate business requirements into technical solutions, and help provide consistent access to trusted data that supports analytics, evidence-based decisions, and better outcomes for Veterans and their families.\nKey Responsibilities\nDesign, install, configure, maintain, and optimize SQL database systems and related data structures supporting ATLAS.\nDevelop, maintain, monitor, and troubleshoot ETL/ELT workflows and data pipelines using Azure Data Factory and Synapse Pipelines.\nIntegrate structured and unstructured data from databases, APIs, cloud platforms, and other enterprise sources into Azure Data Lake Service.\nCreate and optimize complex SQL queries, stored procedures, database objects, and transformation logic for data conditioning and curation.\nUse Databricks and Starburst to query, transform, and integrate distributed data across lakehouse and enterprise data sources.\nInvestigate data discrepancies, pipeline failures, and performance issues; perform root-cause analysis and implement durable fixes.\nApply data-quality controls and support metadata management and data cataloging using Collibra.\nMonitor database and pipeline performance; perform query tuning, indexing, backup, recovery, patching, and reliability improvements.\nSupport secure, consistent, and compliant access to enterprise data through appropriate identity, authorization, and data-protection controls.\nCollaborate with data engineers, analysts, data scientists, and product teams to create consumable data products and enable Azure ML/AI services.\nSupport reporting and visualization needs using Pyramid Analytics and Power BI, including validation of underlying data structures and accuracy.\nTranslate business requirements into technical specifications and communicate solutions clearly to technical and non-technical stakeholders.\nDocument database structures, data mappings, pipelines, operational procedures, and technical decisions.\nParticipate actively in Agile/Scrum ceremonies and support continuous improvement of ATLAS data services.\nTAG: #LI-I4DM\nTAG: INDMJC\nRequirements\nMinimum Qualifications\nMinimum five (5) years of experience in database development, administration, and maintenance.\nStrong experience with Microsoft SQL Server, including complex SQL queries, stored procedures, database design, indexing, optimization, and performance tuning.\nExperience developing and troubleshooting data integrations, ETL/ELT processes, and SSIS packages.\nHands-on experience creating, updating, monitoring, and troubleshooting Azure Data Factory and Synapse Pipelines.\nExperience with Databricks, Starburst, Azure Data Lake Service, and distributed or large-scale datasets.\nExperience with Collibra for data cataloging, metadata management, or data governance.\nExperience supporting Azure ML/AI services and preparing reliable data for analytics or machine-learning use cases.\nExperience supporting Pyramid Analytics and Power BI visualization solutions and validating source data.\nExcellent troubleshooting and root-cause analysis skills.\nAbility to understand business requirements and translate them into technical specifications.\nAbility to communicate technical details to non-technical users and stakeholders, with excellent written and verbal communication skills.\nAbility to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.\nPreferred Qualifications\nExperience supporting federal agencies, the Department of Veterans Affairs, or other regulated environments.\nExperience with enterprise data lakes, lakehouses, Delta Lake, Parquet, and multi-cloud data integration.\nExperience working independently and collaboratively within Agile data-product 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