The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer. Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow.

Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Dbt and AWS 'big data' technologies.

We're looking for an experienced Sr. Data Engineer with strong data analytics and engineering skills to join our small and creative team. We value passionate, down to earth, “can do” people who enjoy fine-tuning small details, without losing sight of the big picture.

Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). Develop the de facto open source standard framework for big data. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. In this capacity, the Senior Data Engineer designs and develops systems for the maintenance of the business’s data warehouse, ETL processes, and business intelligence.

Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) As a senior data engineer, you bring your previous industry experience in infrastructure scaling to Jerry and lead the development of a new infrastructure solution that will continue to perform with great stability and efficiency even when the company grows 10x bigger.

Data Infrastructure Landscape: In-depth knowledge of modern data infrastructure components, including cloud services, databases (SQL/NoSQL), big data processing frameworks (Spark, Trino or similar), and data management architectures (Hudi, Iceberg or similar.

We are looking for an engineer with proven expertise in system architecture, microservices, and big-data processing and experience in building scalable solutions in the cloud environments.

Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.

5+ years of experience in engineering data solutions using big data technologies (Hive, Presto, Spark, Flink) on large-scale data sets. [Full Time] Founding Engineer: Data Infrastructure (Senior & Staff) at Tarsal (United States) | BEAMSTART Jobs.

New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Data Engineer. West Creek 3 (12073), United States of America, Richmond, VirginiaSenior Data Engineer (Python, Scala, or Spark)Do you love building and pioneering in the technology space.

We're looking for a Senior Software Engineer with experience building low-latency, distributed data processing pipelines. (Full Time) Senior Software Engineer, Reporting and Data Warehousing at Tenjin (United States) | BEAMSTART Jobs.

Work on small teams that tackle big challenges in common components like a common data service tasked with unifying and consolidating endpoint data across the entire ecosystem, handling time series data that drive dash boarding and reporting, and exposing data externally through GraphQL enabling partners (like Salesforce) to easily integrate.

We’re looking for a seasoned Senior Data Engineer who can help us lay the foundation of an exceptional data engineering practice. The ideal candidate will be confident with a programming language of their choice, be able to learn new technologies quickly, have strong software engineering and computer science fundamentals and have extensive experience with common big data workflow frameworks and solutions.