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The DevOps & Edge Integration Engineer manages cloud and internal infrastructure while handling deployment and data ingestion for customer projects in restricted or air-gapped environments. The role focuses on automation, system integration, and utilizing AI tools to streamline infrastructure operations.
The Data Engineer will design and build scalable data infrastructure and pipelines on AWS to support AI/ML workflows. The role involves collaborating with data scientists to automate deployments and define data ingestion strategies.
The Adobe Experience Platform (AEP) Solution Architect will design and implement data solutions using Adobe Experience Cloud, focusing on XDM schema design, data ingestion, and Real-Time CDP setup.
Location: Charlotte, NC (Full time onsite) Job Description: Must Have Technical/Functional Skills Primary skills: Hadoop, Hive, Python, PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture,…
As an Analytics Engineer on Vinted’s Payments Intelligence team, you design, build, and maintain data pipelines, models, and reporting systems for the new Vinted Pay payment service and other payments-related projects, using SQL and data engineering tools like DBT, BigQuery, and Airflow.
The Data Engineer/Power BI Developer will lead the migration of Tableau reports to Power BI and transition data sources from on-premises Oracle to Google Cloud Platform. The role involves building interactive dashboards, developing complex DAX measures, and managing ETL pipelines within a cloud environment.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Data Platform Engineering based in the United States. This is a senior…
The Data Engineering Manager will lead a team of engineers in Poland to build and maintain scalable data pipelines for financial portfolio data ingestion. The role involves hands-on development using PySpark and Databricks to automate data processing and improve the throughput and accuracy of the company's data platform.
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total…
The Microsoft Fabric Data Engineer will design, develop, and maintain scalable data pipelines and analytics solutions. The role involves working with data ingestion, transformation, and conversational analytics tools to support organizational data requirements.
Data Engineer building and optimizing Azure data pipelines (ADF, Databricks, Delta Lake) using Python, PySpark, and SQL for batch and near-real-time processing.
Build and support scalable data pipelines, platform services, and analytics-ready datasets for Location Intelligence products using Python, Spark, SQL, and cloud data services in a hybrid Noida office setting.
Responsibilities: Architect and implement data lakehouse solutions to centralize and harmonize supply chain and procurement data from multiple enterprise systems Design and deploy data ingestion pipelines for…
Entry-level data engineering consultant role at CapTech, building data pipelines and systems for clients using SQL, Python, and cloud platforms, targeting Dec 2026–Summer 2027 graduates.
Senior Salesforce developer building and maintaining scalable solutions across Sales Cloud, Service Cloud, Experience Cloud, Agentforce, and Data Cloud using Apex, LWC, Flows, and REST/SOAP integrations.
The Data Engineer for AI will design, build, and maintain scalable data pipelines and reusable components on Databricks and Foundry to support AI, ML, and GenAI initiatives. The role focuses on enabling self-service data consumption while ensuring high quality, security, and compliance within the Allianz Global Investors platform.
Designs and maintains Azure cloud infrastructure for connected safety systems, including data ingestion, scalable storage, APIs, and ML model deployment.
Lead the design and build of a multi-country Snowflake/GCP data platform for credit risk analytics and device financing, using dbt, Datastream CDC, and Snowpipe to deliver real-time analytics across 8 LATAM markets.
This senior backend role focuses on building and scaling high-performance search infrastructure using Postgres and OpenSearch. The engineer will optimize search relevance, latency, and real-time indexing while integrating vector and semantic search capabilities to support AI-powered product features.
Build and own large-scale data pipelines for an ad-tech platform, processing high-volume advertising data with Java/Scala (Spark/Flink) and Python to power reporting, analytics, and audience intelligence tools.
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