Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Lead Software Engineer - Databricks/Snowflake/AWS”. A match may be a passing mention rather than the job itself. Titles only.
121 roles across 152 listings · show every listing · page 5 of 5
…managed cloud services (AWS, GCP, Azure, Elastic, Snowflake, Databricks, etc.) is highly preferred. Direct Flink experience is not required. - Leadership Track Record: A proven…
…student, quantization-aware approaches, latency/cost-driven optimization) Robust evaluation and failure-mode analysis for real-world deployment Strong software engineering skills in Python…
…Snowflake, Databricks, Airflow, Temporal. AI & Productivity: Ability to leverage AI tools (Gemini, ChatGPT, Cursor) to streamline engineering workflows and enhance personal productivity. Leadership & Collaboration…
…working with cloud platforms like AWS, data warehouse solutions like Snowflake, and ETL frameworks like DBT and Databricks You believe in using boring technology…
…WHAT YOU’LL NEED: - 2+ years in software engineering, data engineering, technical support, DevOps, QA, or a similar role supporting developers or technical users…
…Active Databricks Certifications (e.g., Data Engineer Professional, Generative AI Engineer Associate). Active AWS Certifications (e.g., Certified Data Engineer – Associate or Solutions Architect…
…analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support. Lead adaptive experimentation — contextual bandit systems…
…cloud provider (AWS, Azure, GCP) technologies, cloud data technologies (Redshift, BigQuery, Synapse, Fabric, Snowflake, Databricks, etc.), cloud networking and security, data governance, ELT tools…
…As a Data Engineering Director , you will lead a high-impact team in designing and scaling mission-critical data platforms that serve the entire…
…Build and optimize Oura’s Data Lakehouse leveraging Databricks, Google Big Query , and Snowflake to process Terabyte-Petabyte scale data. Data Mesh Governance: Implement…
…Spark, Snowflake, Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You’ll join a focused team of 7 engineers that values…
…As a Senior Data Engineer, you'll lead the execution of core services and data pipelines, delivering reliable, high-quality solutions that keep the…
…Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many…
…Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many…
…Establish regular touchpoints with Data Engineering, Enterprise Architecture, and business leaders Lead solution scoping workshops, provide effort estimates, and identify dependencies. Serve as escalation…
…Proficiency in SQL and development experience with cloud database environments like Snowflake, Redshift or Databricks. Proficiency in programming languages like Python, Java or R…
…engineering, you will lead by example spearheading our AI productivity initiatives to supercharge how our entire engineering team builds, tests, and ships software. If…
…cloud infrastructure, ideally AWS A track record of leading technical projects and mentoring other engineers Bonus points for a data engineering background (building data…
…Databricks, Snowflake) Background in building solutions on Amazon AWS, Google Cloud Services, Microsoft Azure is a plus. With competitive salaries and a generous benefits…
…or Databricks Familiarity in working in Cloud platforms, preferably AWS, and services like S3, Lambda, SQS, RDS Solid understanding of software engineering best practices…
…architectures (AWS, GCP, or Azure) - Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD - Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery…