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Build and maintain healthcare data pipelines that clean and transform raw EHR, claims, and API data into reliable analytics-ready streams using Snowflake, Databricks, or cloud warehouses.
Build and maintain Matia’s cloud-native infrastructure, automate CI/CD pipelines, and ensure scalable, secure Kubernetes clusters on AWS for a unified DataOps platform.
Senior DevOps Engineer builds and operates Kubernetes-based infrastructure, observability platforms, and CI/CD pipelines for a proprietary trading firm’s high-performance trading systems.
Build and run Kubernetes-based infrastructure, observability, and CI/CD for a proprietary trading firm’s trading systems and crypto market-making operations.
System analyst builds and migrates data pipelines for a government client, reverse-engineering legacy ETL, designing Lakehouse flows, and ensuring data quality in a hybrid stack (Trino, Spark, Kafka, XML/XSD).
Build and optimize petabyte-scale data pipelines and models for a major game studio, enabling ML and GenAI products and improving player experiences.
About the role The Lead Analytics Engineer is responsible for modeling data to provide clean, accurate, well-documented datasets for use across the organization. They will serve as the subject matter expert for asset…
DevOps engineer maintaining and scaling AWS-based Kubernetes infrastructure for fintech startups, ensuring high availability and reliability with CI/CD, IaC, and observability tools.
Lead analyst for South Korea and Japan at Wise, driving data-informed product decisions to grow and optimize cross-border payments in both markets using SQL, Python, and analytics tools.
Senior Data Engineer maintains and enhances ETL pipelines for a large US media company, handling data ingestion from 500+ sources and debugging production pipelines using SSIS, Prefect, SQL, and Python.
Analyze, validate, and transform large datasets; build batch and streaming data pipelines; optimize queries and processes; collaborate on data models and Data Lake design using SQL, Python, Spark, Kafka, and related tools.
Build and optimize a global Earth-observation radar-data pipeline in Python/C, orchestrating distributed HPC/cloud jobs to process satellite imagery at scale.
Build and maintain cloud-native geospatial platforms that ingest, process, and serve Earth Observation data via APIs and microservices using Python, Kubernetes, and open standards like STAC/OGC.
Own and operate a cloud-based ADAS data platform, ensuring reliable data ingestion, processing, and delivery for autonomous-driving development and ML workflows using Azure and DevOps practices.
Build and operate cloud-native geospatial platforms that power AI-driven Earth Observation services, integrating RAG, vector databases, and Kubernetes-based infrastructure.
Build and operate ML infrastructure for a Payments ML platform, focusing on pipelines, training/inference systems, and MLOps tooling to scale AI use cases in payments.
Backend engineer building and scaling e-commerce microservices in Java/Kotlin for a major Polish bank’s platform, integrating search, listings, and regulatory features.
Designs and builds scalable HR data solutions on Azure Databricks and ADF, focusing on automation, quality, and observability for employee lifecycle systems.
Build and maintain AI-ready data pipelines and platforms for a global real-estate operator, integrating property, financial, and IoT data to power analytics and LLM tools across the business.
Designs and maintains data pipelines, analytical data warehouses, and big data infrastructure for a Russian real-estate platform, using SQL, Python, and Greenplum to support property transactions and user analytics.
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