{"id":2551627,"url":"https://alion.io/job/titan-professional-resources-data-engineer","title":"Data Engineer","company":{"id":2314927,"name":"TITAN PROFESSIONAL RESOURCES","domain":"titanprojobs.com","url":"https://alion.io/company/titanprojobs","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Matillion","optional":false},{"name":"MS SQL","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Azure","optional":true},{"name":"IAM","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-14T18:08:18Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T07:57:25Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Titan Professional Resources is seeking a Data Engineer to join one of our clients. This position will support data infrastructure, analytics, and business intelligence initiatives by developing and maintaining data pipelines, optimizing data processes, and integrating multiple data sources. The ideal candidate will have experience with Snowflake, Matillion, SQL, and cloud-based data platforms.\nResponsibilities\nDesign, develop, and maintain ETL/ELT data pipelines using Snowflake and Matillion.\n\nOptimize database performance, data storage, and query efficiency.\n\nCollaborate with business stakeholders to support analytics, reporting, and business intelligence initiatives.\n\nEnsure data integrity, quality, security, and governance.\n\nDevelop and maintain data models, process documentation, and data workflows.\n\nMonitor and troubleshoot data pipelines to ensure reliable and accurate data.\n\nIntegrate structured and unstructured data from multiple sources.\n\nDevelop scripts, programs, and queries using Python, SQL, and PowerShell.\n\nSupport API integrations and recommend solutions to improve data infrastructure.\n\nOther duties as assigned.\n\nQualifications\nBachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.\n\n3-5 years of experience in data engineering, data warehousing, or ELT development.\n\nHands-on experience with Snowflake and Matillion.\n\nExperience with Microsoft SQL Server, complex SQL queries, stored procedures, and query optimization.\n\nKnowledge of relational databases, data modeling, and ELT principles.\n\nExperience with Python or PowerShell for scripting and automation.\n\nExperience working with REST APIs and Graph APIs.\n\nUnderstanding of data governance and data quality best practices.\n\nStrong analytical, problem-solving, and communication skills.\n\nAbility to collaborate across teams and manage multiple projects.\n\nPreferred Qualifications\nExperience with Azure cloud architecture, storage, and identity and access management (IAM).\n\nFamiliarity with Snowflake Cortex and large language models (LLMs).\n\nExperience with Power BI, Tableau, or other business intelligence tools.\n\nKnowledge of data streaming, Agile methodologies, and DevOps 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