{"id":3229252,"url":"https://alion.io/job/exl-senior-databricks-engineers","title":"Senior Databricks Engineers","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"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":232,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Austin, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":103000,"max_usd":187000,"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":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-18T13:58:32Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-01T01:01:44Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"Databricks Data engineer (Remote, USA)\nPosition Summary\nWe are seeking an experienced Databricks Solution Architect to join our growing healthcare analytics team. This is a full-time, remote position based in the United States. The ideal candidate will have strong hands-on experience designing and implementing scalable data solutions on Databricks and cloud platforms, with a deep understanding of healthcare data and modern data architecture.\nThis role is an individual contributor position responsible for solution design, technical leadership, and delivering high-quality data platforms that support analytics, reporting, and operational decision-making.\nKey Responsibilities\nDesign and implement scalable data solutions using Databricks Lakehouse architecture.\nDevelop and optimize batch and real-time data pipelines for large-scale data processing.\nLead technical solution design for data integration, transformation, and analytics workloads.\nCollaborate with business stakeholders, data engineers, analysts, and product teams to translate requirements into technical solutions.\nImplement data governance, security, and data quality best practices using Unity Catalog and related technologies.\nOptimize performance, reliability, and cost efficiency of Databricks workloads.\nSupport data warehouse modernization and cloud migration initiatives.\nCreate architecture documentation, technical standards, and design guidelines.\nTroubleshoot complex data platform issues and provide technical recommendations.\nStay current with Databricks and cloud platform capabilities and drive adoption of best practices.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Systems, Engineering, or a related field.\nMinimum 5 years of experience in data engineering, data architecture, or related technical roles.\nHands-on experience with Databricks in enterprise environments.\nStrong knowledge of PySpark, Spark SQL, Python, and SQL.\nExperience designing and implementing Lakehouse architectures.\nExperience building scalable ETL/ELT data pipelines.\nStrong understanding of data modeling, data warehousing, and analytics platforms.\nExperience working with structured and unstructured data.\nStrong problem-solving and communication skills.\nAbility to work independently in a remote environment.\nExperience implementing data governance and security frameworks.\nPreferred Qualifications\nExperience in the healthcare industry, including claims, clinical, provider, member, or revenue cycle data.\nExperience with Azure, AWS, or GCP cloud platforms.\nExposure to machine learning and AI/ML workloads on Databricks.\nCertifications\nRequired:\nDatabricks Certified Data Engineer Associate\nDatabricks Certified Data Engineer Professional\nPreferred:\nCloud platform certifications (Azure, AWS, or GCP)\nDatabricks Data engineer (Remote, USA)\nPosition Summary\nWe are seeking an experienced Databricks Solution Architect to join our growing healthcare analytics team. This is a full-time, remote position based in the United States. The ideal candidate will have strong hands-on experience designing and implementing scalable data solutions on Databricks and cloud platforms, with a deep understanding of healthcare data and modern data architecture.\nThis role is an individual contributor position responsible for solution design, technical leadership, and delivering high-quality data platforms that support analytics, reporting, and operational decision-making.\nKey Responsibilities\nDesign and implement scalable data solutions using Databricks Lakehouse architecture.\nDevelop and optimize batch and real-time data pipelines for large-scale data processing.\nLead technical solution design for data integration, transformation, and analytics workloads.\nCollaborate with business stakeholders, data engineers, analysts, and product teams to translate requirements into technical solutions.\nImplement data governance, security, and data quality best practices using Unity Catalog and related technologies.\nOptimize performance, reliability, and cost efficiency of Databricks workloads.\nSupport data warehouse modernization and cloud migration initiatives.\nCreate architecture documentation, technical standards, and design guidelines.\nTroubleshoot complex data platform issues and provide technical recommendations.\nStay current with Databricks and cloud platform capabilities and drive adoption of best practices.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Systems, Engineering, or a related field.\nMinimum 5 years of experience in data engineering, data architecture, or related technical roles.\nHands-on experience with Databricks in enterprise environments.\nStrong knowledge of PySpark, Spark SQL, Python, and SQL.\nExperience designing and implementing Lakehouse architectures.\nExperience building scalable ETL/ELT data pipelines.\nStrong understanding of data modeling, data warehousing, and analytics platforms.\nExperience working with structured and unstructured data.\nStrong problem-solving and communication skills.\nAbility to work independently in a remote environment.\nExperience implementing data governance and security frameworks.\nPreferred Qualifications\nExperience in the healthcare industry, including claims, clinical, provider, member, or revenue cycle data.\nExperience with Azure, AWS, or GCP cloud platforms.\nExposure to machine learning and AI/ML workloads on Databricks.\nCertifications\nRequired:\nDatabricks Certified Data Engineer Associate\nDatabricks Certified Data Engineer Professional\nPreferred:\nCloud platform certifications (Azure, AWS, or GCP)\nDatabricks Data engineer (Remote, USA)\nPosition Summary\nWe are seeking an experienced Databricks Solution Architect to join our growing healthcare analytics team. This is a full-time, remote position based in the United States. The ideal candidate will have strong hands-on experience designing and implementing scalable data solutions on Databricks and cloud platforms, with a deep understanding of healthcare data and modern data architecture.\nThis role is an individual contributor position responsible for solution design, technical leadership, and delivering high-quality data platforms that support analytics, reporting, and operational decision-making.\nKey Responsibilities\nDesign and implement scalable data solutions using Databricks Lakehouse architecture.\nDevelop and optimize batch and real-time data pipelines for large-scale data processing.\nLead technical solution design for data integration, transformation, and analytics workloads.\nCollaborate with business stakeholders, data engineers, analysts, and product teams to translate requirements into technical solutions.\nImplement data governance, security, and data quality best practices using Unity Catalog and related technologies.\nOptimize performance, reliability, and cost efficiency of Databricks workloads.\nSupport data warehouse modernization and cloud migration initiatives.\nCreate architecture documentation, technical standards, and design guidelines.\nTroubleshoot complex data platform issues and provide technical recommendations.\nStay current with Databricks and cloud platform capabilities and drive adoption of best practices.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Systems, Engineering, or a related field.\nMinimum 5 years of experience in data engineering, data architecture, or related technical roles.\nHands-on experience with Databricks in enterprise environments.\nStrong knowledge of PySpark, Spark SQL, Python, and SQL.\nExperience designing and implementing Lakehouse architectures.\nExperience building scalable ETL/ELT data pipelines.\nStrong understanding of data modeling, data warehousing, and analytics platforms.\nExperience working with structured and unstructured data.\nStrong problem-solving and communication skills.\nAbility to work independently in a remote environment.\nExperience implementing data governance and security frameworks.\nPreferred Qualifications\nExperience in the healthcare industry, including claims, clinical, provider, member, or revenue cycle data.\nExperience with Azure, AWS, or GCP cloud platforms.\nExposure to machine learning and AI/ML workloads on Databricks.\nCertifications\nRequired:\nDatabricks Certified Data Engineer Associate\nDatabricks Certified Data Engineer Professional\nPreferred:\nCloud platform certifications (Azure, AWS, or GCP)","description_format":"text","description_chars":8399,"description_truncated":false,"requirements":{"experience_years_min":5,"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 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