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As a Sr. Software Engineer for our Data Platform Engineering team you will join skilled Scala engineers and core database developers responsible for developing hosted cloud analytics infrastructure (Apache Spark-based), distributed SQL processing frameworks, proprietary data science platforms, and core database optimization.
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As a Sr. Software Engineer for our Data Platform Engineering team you will join skilled Scala engineers and core database developers responsible for developing hosted cloud analytics infrastructure (Apache Spark-based), distributed SQL.
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Tops 3 Skills Needed 1 Data Engineering 5 years 2 Data Bricks 5 years 3 Sparks/ Dev ops practices 5 years Years of Experience: 5 years Technology requirements: Proficiency in Apache Spark, including Spark Core, Spark SQL and Spark Streaming.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
$160,000 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Required Skills: Platform Engineering: Proficiency in Python, Scala, or SQL. Expertise in Apache Spark, Hadoop, or Apache Kafka. Design platform architecture with Azure Cloud Services and Databricks Delta Lake. Create and publish guidelines for Data Integration services.
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Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry.
$73,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in leading solutions around technology, data, Machine Learning, and Data Engineering, data governance and regulatory compliance, managing deliverables. Strong understanding of cloud infrastructure and services like EMR, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, apache airflow, SQS, SNS.
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The System Reliability Engineer (SRE) improves and protects T-Mobile's systems by engineering creative, automated solutions that ensure the reliability, availability, quality, performance, capacity, and security of new and existing IT products and services.
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Data Engineering - You have firsthand experience with database performance tuning, cloud storage and processing technologies (e.g. Redshift, S3, Glue, Lambda, Databricks, DBT), workflow orchestration (e.g. Dagster, Airflow), distributed computing (e.g. Spark, EMR), message queues and streams (e.g. Kafka, Kinesis.
$80,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You will work with an engineering team accelerating Apache Spark with GPUs using CUDA and open source libraries. You will need to have previous experience working with Apache Spark applications, implementing big data applications for a variety of customers, programming skills, and familiarity with open source big data processing frameworks.
$216,000 - $333,500 a yearExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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We are seeking experienced System Software Engineers adept at Apache Spark to join our team to help drive innovation for accelerated data processing on GPUs. As Nvidia is leading the world in accelerated computing, we are building the next generation data processing ecosystem.
$216,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Exposure to Big Data and Business Intelligence tools e.g., SQL, Vertica, Hadoop, Hive, Spark, Tableau; with fundamental understanding of data management principles and programming experience.
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Stay up to date with the latest trends and advancements in data visualization, data engineering, and cloud technologies, and proactively recommend innovative solutions to enhance our analytics capabilities.
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Experience with data processing engines like Apache Spark. 4+ Years of Data Engineering experience in a related field. In the Abuse Testing & Engineering group, we push battery systems to their limits and beyond using specialized equipment to apply electrical, mechanical, and thermal stresses.
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