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The Databricks Expert in NTT Data knows the challenges of a cloud native environment and is able to think outside the box finding innovative, yet simple, solutions to everyday issues. We are looking for an…
Data Engineer The Opportunity Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data…
CGM Consulting è alla ricerca di un Big Data DevOps da inserire a Milano, con competenze in Python e Scala, per lavorare su una piattaforma Big Data basata su stack Google Cloud presso il nostro cliente. Si privilegia…
Data Engineer at KPMG Israel designing, building, and maintaining scalable data pipelines and data platforms. Core stack includes Elasticsearch, Databricks, Kafka, and cloud technologies, with collaboration across teams to meet data processing and quality needs.
Senior Data Engineer at Alison.ai (Tel Aviv) designs, builds, and optimizes the data pipelines and infrastructure powering the company's AI-driven creative intelligence platform — handling large-scale data ingestion, transformation, orchestration, and quality using SQL, cloud data platforms, and workflow tools.
Analytics Engineer on Reddit's Data Science team, building and maintaining large-scale data pipelines, data quality checks, and internal analytics tooling for Consumer, Ads, and Marketing teams. Core stack includes Python, SQL, Spark, Scala, and Airflow, with a focus on ETL/ELT and data modeling.
Build and improve machine-learning models for Coupang Play’s content recommendation and ad personalization systems using large-scale playback data and deep-learning tools.
Develop a new product for an observability platform using Rust, Angular, AWS, and Kubernetes to process terabytes of data in cloud-native systems.
Designs and optimizes cloud-based data architectures (Lakehouse/Medallion) using Databricks, Spark, and cloud-native tools to build scalable, secure, and cost-efficient data pipelines for global enterprises.
12-month contract data engineer role at NTT Singapore (Alexandra Building, Singapore), designing and operating enterprise Lakehouse platforms and batch/streaming pipelines with Databricks, Apache Spark, PySpark, Python and SQL, using Delta Lake/Iceberg/Hudi, Kafka, Airflow and Docker/Kubernetes CI/CD to support analytics, AI and GenAI use cases.
Leads LTK's Data Engineering team, owning technical direction for data architecture, pipelines, data products, quality, and platform reliability while coaching engineers and partnering with business stakeholders. Focus areas include people leadership, platform modernization, and modern data tooling like Python, Spark, Kafka, Airflow, AWS, and Snowflake.
Build scalable, fault-tolerant systems and APIs for core business logic like inventory and payments using Kotlin, Scala, and data technologies like Kafka and Spark.
Opportunity Overview: We are looking for a detail-oriented Senior Actuarial Support Analyst to join our Actuarial team. In this role, you will be responsible for evaluating cost-saving initiatives that enhance the…
Data Engineer at Penlink (Lincoln, NE) builds and maintains the data pipelines and infrastructure that power AI and analytics in the company's law-enforcement investigative software. Day to day: ETL/ELT development, SQL and data modeling, cloud/distributed data systems, and secure handling of sensitive telecom and digital-evidence data.
Senior Data Engineer on NCS's AI Central Forward Deployed Engineering team, building AI-ready data pipelines (ingestion, cleaning, batch/streaming) and RAG/vector search infrastructure for client engagements, especially in regulated sectors like healthcare and government. Core stack: Python, SQL, Airflow/Spark/Kafka, and vector databases such as pgvector and Pinecone.
Senior Data Engineer who designs, scales, and maintains high-throughput ingestion, CDC, and incremental delivery pipelines on GCP for a client building foundational large language models. Core stack: GCP (BigQuery, Dataflow, Pub/Sub, GKE), Snowflake, ClickHouse, dbt Core, Apache Airflow, Python, and SQL.
AllCloud, an AI-led cloud professional and managed services provider (AWS Premier and Salesforce partner), is hiring a data engineer to design, build, and maintain ETL/ELT pipelines and a Lakehouse data platform on Databricks, Snowflake, and AWS — spanning data modeling, governance, performance tuning, and automated data quality.
Senior engineer at Metropolis (AI-powered parking/mobility) who designs and builds the backend incentive and rewards platform: real-time event streaming, personalized decisioning, compliance, and attribution services, mostly in Scala on AWS with MySQL/PostgreSQL. On-site 4 days/week in Seattle.
Mid-level backend engineer on Reddit's Ads organization (remote in Ontario, Canada), building microservices, distributed systems, and real-time data pipelines that power advertiser-facing products like ads.reddit.com. Core stack includes Go, Python, Scala, Spark, Kafka, Postgres, BigQuery, Redis, and Kubernetes.
Mid-level backend engineer on Reddit's Ads organization, building the microservices, APIs, and distributed data-intensive systems behind ads.reddit.com — ad serving, interactive ad experiences, and real-time campaign measurement. Core stack: Go, Python, Scala, Spark, Kafka, Postgres, Redis, Kubernetes.
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