{"schemaVersion":"jobsearcher.job.v1","id":"a144b2a2fb695eaa712c4a9e","url":"https://jobsearcher.com/jobs/a144b2a2fb695eaa712c4a9e","canonicalUrl":"https://jobsearcher.com/jobs/a144b2a2fb695eaa712c4a9e","title":"Engineer Data Engineering","description":"What You'll DoSlalom Builds Data Engineering capability is comprised of passionate, flexible technologists who love to practice and hone their craft. As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery. As a Data Engineer, you will work in small, collaborative teams with minimal oversight and direction to design and deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies. In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.Data Engineering capability is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. Within Data Engineering we help customers build world-class products through effective use of:Data Engineering consisting of streaming / real-time data solutions, modern data platforms anddata systems within products (i.e., database systems, graph databases, key-value stores,document databases and transactional systems)Data VisualizationMachine Learning and Artificial IntelligenceEssential Knowledge:ADVANCED ENGLISH LEVEL (Conversational)Big Data Platforms (For Example: Apache Spark, Presto, Amazon EMR)Cloud Data Warehouses (For Example: Amazon Redshift, Snowflake, Google BigQuery)Object Oriented Coding (For Example: Java, Python)NoSQL Databases (For Example: DynamoDB, Cosmos DB, MongoDB)Container Management Systems (For Example: Kubernetes, Amazon ECS)Artificial Intelligence / Machine Learning (For Example: Amazon Sagemaker, Azure ML Studio)Streaming Data Ingestion and Analytics (For Example: Amazon Kinesis, Apache Kafka)Visual Analytics (For Example: Tableau, PowerBI)Modern Data Workflows (For Example: Apache Airflow, dbt, Dagster)WE OFFER:Law BenefitsSuperior Benefits:Food CouponsMajor Medical Expenses InsuranceLife Insurance","company":"Ingeniosi","rawCompany":"ingeniosi","city":"Westminster","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-08-24T06:37:22.404Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Engineer Data Engineering","description":"What You'll DoSlalom Builds Data Engineering capability is comprised of passionate, flexible technologists who love to practice and hone their craft. 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