{"id":3555973,"url":"https://alion.io/job/alta-genetics-senior-data-engineer","title":"Senior Data Engineer","company":{"id":4490590,"name":"Alta Genetics","domain":"hdjm.fa.ca2.oraclecloud","url":"https://alion.io/company/alta-genetics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madison, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":101000,"max_usd":190000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Agile","optional":true}],"status":"live","first_seen_at":"2026-08-25T19:46:33Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-31T05:35:09Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"description":"This role is responsible for the design, development, and maintenance of data integration and reporting solutions. Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed our reporting, analytics, and AI/ML workloads. The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This position requires a proactive and results-oriented individual with a passion for data and a strong understanding of data warehousing principles. A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected.\nResponsibilities\nData Integration\nDesign, develop, and maintain robust and efficient ETL pipelines and processes on Databricks.\n\nTroubleshoot and resolve Databricks pipeline errors and performance issues.\n\nTroubleshoot and resolve SSIS package errors and performance issues.\n\nOptimize data flow performance and minimize data latency.\n\nImplement data quality checks and validations within ETL processes.\n\nMaintain legacy SSIS packages for ETL processes.\n\nDatabricks Development\nDevelop and maintain Databricks pipelines and datasets using Python, Spark and SQL.\n\nDrive the design and implementation of batch and streaming data lake architectures supporting both analytics and AI/ML workloads.\n\nOptimize Databricks jobs for performance and cost-effectiveness.\n\nIntegrate Databricks with other data sources and systems.\n\nMigrate legacy systems (e.g. SSIS packages, SQL Server procs) to Databricks pipelines.\n\nData Warehousing\nParticipate in the design and implementation of data warehousing.\n\nSupport data quality initiatives and implement data cleansing procedures.\n\nReporting and Analytics\nCollaborate with business users to understand data requirements for department driven reporting needs.\n\nMaintain existing library of complex SSRS reports, dashboards, and visualizations.\n\nTroubleshoot and resolve SSRS report issues, including performance bottlenecks and data inconsistencies.\n\nCollaboration and Communication\nComfortable in entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams.\n\nCollaborate effectively with business users, data analysts, and other IT teams.\n\nCommunicate technical information clearly and concisely, both verbally and in writing.\n\nDocument all development work and procedures thoroughly.\n\nContinuous Growth\nKeep abreast of the latest advancements in data integration, reporting, data engineering.\n\nActively contribute to company’s AI-assisted tooling, strategies, and best practices.\n\nContinuously improve skills and knowledge through training and self-learning.\n\nRequirements\nBachelor's Degree in Computer Science, Information Systems, or a related field.\n\n7+ years of experience in data integration and reporting.\n\nExtensive experience with Databricks, including Python, Spark, and Delta Lake\n\nExperience with data warehousing concepts and best practices.\n\nStrong proficiency with AI-assisted development tools.\n\nStrong proficiency in SQL Server, including T-SQL, stored procedures, and functions.\n\nExperience with SSIS (SQL Server Integration Services) development and maintenance.\n\nExperience with SSRS (SQL Server Reporting Services) report design and development.\n\nExperience with Microsoft Azure cloud platform and Microsoft Fabric desirable.\n\nStrong analytical and problem-solving skills.\n\nExcellent communication and interpersonal skills.\n\nAbility to work independently and as part of a team.\n\nExperience with Agile methodologies.","description_format":"text","description_chars":3636,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-31T00:50:50Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long 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