Databricks SQL jobs in United States Databricks Administrator New
inSync Staffing Inc. · Washington, USOn-site · Contract · Senior
Senior Product Manager, Data Platform New
Curinos Inc · US $160K–$170K· Full-time · Senior
Data Scientist, Professional Senior New
The Zebra · Lincolnshire, US $109K–$163K· Hybrid · Full-time · Senior
Systems Architect 2 - Cloud Data Engineer (Databricks)
U.S. Bank National Association · Cincinnati, US $112K–$131K
Lead Databricks Data Engineer
EXL · New York, USFull-time · Senior
Databricks Data Engineer
EXL · US+1 more Full-time
Databricks Administrator
PEAK Technical Services Inc. · Washington, US
Application Architect III
Artech LLC · Plano, US
+10K new in the last hour
inSync Staffing Inc. · Posted Nov 5, 2026
Washington, District of Columbia, United States On-site Contract · Senior 7+ years
Lead Databricks administration, design, optimization, and governance for a Lakehouse platform.
Assignment: Six-month contract with possible extension.
Design and optimize Databricks solutions using Unity Catalog, Delta Lake, Databricks SQL, Workflows, Jobs, and Mosaic AI. Build scalable ingestion, transformation, and orchestration pipelines with Spark, Delta Live Tables, and Auto Loader. Tune Spark jobs, clusters, and SQL queries; improve performance, autoscaling, resource utilization, and cost efficiency. Implement Unity Catalog governance, access controls, security standards, and compliance practices. Support ML and generative AI workloads using MLflow, Feature Store, Vector Search, and Mosaic AI. Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related field Nice to have: Databricks certifications in solutions architecture, professional data engineering, or professional machine learning Nice to have: AWS or Azure architecture certification Curinos Inc · Posted Nov 9, 2026
United States Full-time · Senior $160K–$170K per year 6+ yearsLead the Data Platform pod, owning vision, roadmap, and outcomes for Curinos Lakehouse on Databricks, driving AI-ready data and platform operations.
Salary Range: $160,000- $170,000 USD (plus Bonus)
Own the Data Platform vision, roadmap and quarterly outcomes across the full Databricks Lakehouse Bring data from across pods into trusted, well-modeled data products Make data AI-ready by default through data contracts and metadata Partner with AI Platform, App & API Platform, product pods, Data Strategy, Engineering and Advisory Lead and develop one direct report focused on methodology and semantic governance Bachelor's degree in a related field Nice to have: Financial services experience Nice to have: Fintech Nice to have: Banking Nice to have: Databricks certifications The Zebra · Posted Sep 18, 2026
Lincolnshire, Illinois, United States Hybrid Full-time · Senior $109K–$163K per year 5+ yearsSenior Data Scientist who designs, develops, and implements machine learning models, AI systems, and statistical modeling to generate actionable insights for business problems and product development.
Pay Range: $108,960.00 - $163,440.00 Annual
Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models). Implements Artificial/Augmented Intelligence systems. Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques. Develops and applies novel models on customer data to identify areas to increase profits and reduce losses. Partners with experimentalists to translate models into testable hypotheses. Bachelor’s in Computer Science Machine learning related discipline Nice to have: Master’s degree Nice to have: R U.S. Bank National Association · Posted Nov 3, 2026
Cincinnati, Ohio, United States $112K–$131K per year 7–9 yearsProvides technical direction, guidance and support for architectural development that encompasses multiple technology disciplines, platforms and applications.
Pay Range: $111,605.00 - $131,300.00
Design and implement scalable Databricks Lakehouse architectures supporting enterprise data processing, analytics, and high-volume workloads. Develop data solutions using Databricks, Python, PySpark, Databricks SQL, and Delta Lake. Modernize and migrate complex Oracle SQL and PL/SQL workloads to Databricks and cloud-based data platforms. Design and implement high-volume ETL/ELT pipelines, data ingestion, transformation, orchestration, and integration solutions. Optimize Databricks performance, including SQL queries, data layouts, compute utilization, jobs, and distributed data processing. Bachelor's degree Nice to have: financial or transactional data New York, United States Full-time · Senior 10–12 yearsLead Databricks Data Engineer
Design and implement enterprise-scale data platforms using Databricks Lakehouse architecture. Architect and develop scalable ETL/ELT data pipelines for batch and real-time processing. Define enterprise data models, ingestion frameworks, and transformation strategies. Lead the implementation of Delta Lake, Unity Catalog, and data governance frameworks. Build and optimize highly scalable Spark and PySpark solutions handling large-volume datasets. Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related field Nice to have: Scala (Preferred) Nice to have: MLOps and AI Engineering exposure Nice to have: Snowflake and Databricks integration experience Nice to have: Microsoft Fabric exposure United States +1 more Full-time 8–10 yearsLead the design, development, modernization, and optimization of enterprise-scale data platforms using Databricks Lakehouse architecture.
United States New York, United States Design and implement enterprise-scale data platforms using Databricks Lakehouse architecture. Architect and develop scalable ETL/ELT data pipelines for batch and real-time processing. Define enterprise data models, ingestion frameworks, and transformation strategies. Lead the implementation of Delta Lake, Unity Catalog, and data governance frameworks. Build and optimize highly scalable Spark and PySpark solutions handling large-volume datasets. Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related field. Nice to have: Scala (Preferred) Nice to have: MLOps and AI Engineering exposure PEAK Technical Services Inc. · Posted Nov 5, 2026
Washington, United States 7+ yearsLead design, implementation, and optimization of Databricks solutions across data engineering, data science, and AI initiatives.
Lead design, implementation, and optimization of end-to-end solutions on Databricks Architect, build, and maintain scalable data ingestion, transformation, and orchestration pipelines Identify and resolve performance bottlenecks in Spark jobs, clusters, and SQL queries Establish and enforce Databricks best practices for security, data governance, compliance Support data science and machine learning teams by implementing MLflow, Feature Store, Vector Search, and generative AI Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field Nice to have: Databricks Certified Solutions Architect Nice to have: Databricks Certified Data Engineer Professional Nice to have: Databricks Certified Machine Learning Professional Nice to have: Cloud Architecture certification (AWS Certified Solutions Architect, Azure Solutions Architect Expert) Artech LLC · Posted Nov 3, 2026
Plano, Texas, United States 7+ yearsSenior Databricks Engineer / Technical SME leading enterprise data modernization initiatives.
Design, develop, and implement scalable enterprise data solutions using the Databricks Lakehouse Platform. Provide technical guidance and implementation best practices to application and data engineering teams. Optimize Databricks environments for performance, scalability, reliability, and cost efficiency. Implement and manage Unity Catalog, data governance, security, and data lineage. Design and implement RBAC and secure data access mechanisms. Nice to have: Oracle-to-Databricks migration Nice to have: Informatica PowerCenter Nice to have: Informatica IDMC Nice to have: Databricks Genie Nice to have: Databricks Auto Loader Competitive benefits Health and Lifestyle benefits Unlimited PTO Floating holidays Volunteering days
healthcare wellness inclusion networks continued learning hybrid work
Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan
Nice to have: Snowflake and Databricks integration experience
Nice to have: Microsoft Fabric exposure