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Growth Acceleration Partners seeks a Senior Data Engineer to own data quality, identity resolution workflows, and governance within a large enterprise analytics platform. You will bridge identity data processing with…
AgileEngine is seeking a Senior Data Engineer to lead the replacement of a third-party ingestion tool with a custom ETL pipeline within an existing AWS environment (ECS, S3, RDS). Strong SQL and DSP data experience are…
AgileEngine is seeking a Senior Data Engineer to replace a third-party ingestion tool with a custom ETL pipeline inside an existing AWS environment. You will document current logic, evaluate build-vs-buy options like…
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in…
MPS Group is seeking a Senior DevOps Engineer to design, build, and operate secure, scalable cloud infrastructure for a large U.S. healthcare and pharmacy platform. This hands-on role spans Azure, Terraform,…
Sofka busca un Desarrollador Backend Senior para diseñar, desarrollar y mantener servicios backend en Java usando Spring Boot y Quarkus. Se trabajará en arquitecturas de microservicios y mensajería asíncrona,…
Data & AI Infrastructure Engineer who builds and automates ETL/ELT data pipelines, sets up Model Context Protocol (MCP) servers and vector databases to power LLMs and AI agents, tunes SQL/Spark/Dataflow performance, and optimizes cloud costs. Requires 2+ years in data analysis and BI.
Part-time advisory lead role (50% stepping down to 25%) auditing AWS architecture, CI/CD, and ETL pipeline decisions for a media/adtech product stack, mentoring engineers on standards, and evaluating AI-assisted development workflows like Claude Code. Core stack: AWS (ECS/Fargate, RDS Postgres, S3, SageMaker), Terraform, CI/CD.
A senior data engineer role focused on designing, building, and operating batch and streaming data pipelines on Databricks using PySpark and Delta Lake. Day to day involves modeling a medallion-architecture Lakehouse, migrating legacy ETL workloads, and enforcing governance with Unity Catalog.
AgileEngine seeks a Senior Data Engineer to build batch and streaming pipelines on Databricks with PySpark and Delta Lake, migrating legacy workloads to a governed Lakehouse using a medallion architecture. Day-to-day work spans SQL/Python, Unity Catalog governance, data quality, and collaboration with DevOps and analytics engineers on observability and compliance.
Senior/Lead Data Engineer building and maintaining a centralized HR data warehouse with Snowflake, dbt, Python, and Airflow. Day to day: designing data models and semantic layers, implementing robust pipelines and MCP connections, and enabling AI agents and natural-language querying over HR data with strong security and high uptime.
Senior Data Engineer at AgileEngine in Medellín, Colombia, designing and operating batch and streaming data pipelines on Databricks with PySpark and Delta Lake. The role migrates legacy ETL to a governed Lakehouse, models a medallion architecture for analytics and AI, and focuses on Unity Catalog governance, performance, and data quality.
A data engineer designs and runs batch and streaming pipelines on Databricks using PySpark and Delta Lake, migrating legacy data warehouse/ETL workloads into a governed medallion-architecture Lakehouse that powers analytics and AI use cases. Core tech includes Databricks, Spark, SQL, Python, Unity Catalog, and DevOps collaboration.
Senior Data Engineer leading the migration from third-party ingestion tools to custom AWS ETL pipelines. The role involves documenting logic, evaluating build-vs-buy options like Fivetran, and building standalone pipelines using SQL, ECS, S3, and RDS to power client dashboards.
Senior Data Engineer building batch and streaming pipelines on Databricks with PySpark and Delta Lake, migrating legacy workloads to a governed Lakehouse using a medallion architecture for analytics and AI. Requires strong SQL/Python, Unity Catalog governance, and a focus on data quality, observability, and collaboration with DevOps and analytics teams.
A senior data engineer builds and operates batch and streaming data pipelines on Databricks using PySpark and Delta Lake, migrating legacy ETL to a governed Lakehouse with a medallion architecture for analytics and AI, while optimizing Spark jobs and working with DevOps and analytics teams.
A client-facing Senior Data Engineer owning data quality, identity resolution workflows, and data governance in a large-scale enterprise analytics platform. Day to day involves profiling and validating data with SQL, Python, and PySpark, managing data contracts and lineage across Medallion architectures, and troubleshooting pipelines using tools like Delta Lake/Share, Atlan, Confluence, and Jira.
A senior/lead data engineer role focused on building and maintaining data pipelines and data models for a centralized HR data warehouse, working with Snowflake, DBT, Python, and Airflow to create semantic layers for BI tools and AI agents, including conversational querying over certified HR data.
Senior Data Engineer to replace a third-party ingestion tool (TapClicks) with a custom ETL pipeline inside an existing AWS environment (ECS, S3, RDS/Postgres), weighing build-vs-buy options like Fivetran. Strong SQL and DSP/programmatic advertising data experience are central; the pipeline powers client-facing dashboards and downstream attribution models.
Senior Data Engineer who builds and maintains HR data pipelines, warehouse models, and semantic layers in Snowflake, DBT, Python/PySpark, Airflow, and AWS, keeping pipelines highly available. Also deploys Snowflake Cortex AI agents and MCP connections so BI tools and AI agents can query certified HR data in natural language.
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