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A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys.…
ETL Developer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic…
We are looking for a Cloud Data Engineer, who will be responsible for planning, design, developing and maintaining data models, data pipelines and standards for various Data Integration & Data Lake and Data…
Job Family : Software Development & Support Travel Required : None Clearance Required : Ability to Obtain Public Trust Senior Data Engineer (Analytics & Applied AI) About the role We build production data…
Why GM Financial? GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North…
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Data Engineer II at JPMorgan Chase within the Consumer & Community Banking Connected Commerce – Banking…
Senior remote Data Engineer who designs, builds and automates ETL/ELT pipelines, Delta Lake medallion architectures, data governance and CI/CD on Azure and AWS to deliver analytics solutions for clients. Core stack includes Python, PySpark, SQL, Databricks, Azure Data Factory, Microsoft Fabric and AWS Glue, with required Azure/Databricks certifications.
Designs and maintains the AI infrastructure for training and deploying large-scale machine learning models, focusing on distributed systems, MLOps, and GPU optimization in a multi-cloud environment.
Senior Data Engineer building and scaling production data pipelines using Python, Spark SQL, and Airflow to process healthcare data for an AI-powered platform.
linkNote for all engineering roles: with the rise of fake applicants and AI-enabled candidate fraud, we have built in additional measures throughout the process to identify such candidates and remove them. About Us…
Builds and maintains high-performance data lakehouse infrastructure on Apache Iceberg (compaction, snapshot expiry, orphan file cleanup) and contributes to a Rust-based multi-engine SQL query router for an early-stage Israeli AI data-infrastructure startup. Core stack: Java, Rust, TypeScript, PostgreSQL, Kubernetes.
Data Engineer at Zeta Global turning commercial data partnerships into usable Data Cloud assets by building and automating AWS-based ingestion, transformation, and validation workflows. Hands-on work with S3, Athena, Glue, SQL, Python, Airflow, and AI-assisted tooling, based in Copenhagen with regular office commuting expected.
Virtru is hiring a Data Warehouse & Analytics Architect to lead architecture, design, and technical health for its scaled data warehouses, lakehouses, and data/AI analytics platforms, combining hands-on implementation with SRE practices and mentoring. Core tech spans BigQuery/Redshift/Snowflake, Apache Iceberg/Databricks, Terraform, Kubernetes, and Datadog/Prometheus.
Individual-contributor data engineer building and operating Glean's internal data platform for internal analytics teams: batch/API ingestion pipelines, BigQuery infrastructure, DBT transformations, data quality, governance, and observability. Hands-on role based in Bangalore (hybrid, 4 days/week in office), requiring SQL, Python, and cloud data warehouse expertise.
Lead Data Engineer building a DuckDB/Apache Iceberg lakehouse on AWS (S3, Glue Catalog) for a federal permitting modernization initiative. Day to day: designing the data platform, leading and mentoring other data engineers, and building metadata-driven, AI/agentic-assisted ingestion, reconciliation, and data-quality pipelines.
About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with…
Senior Data Engineer at an applied AI engineering firm, embedded with a large enterprise client alongside AWS Professional Services. Day to day, you design, build, and run data lake pipelines, observability, and agent-enablement tooling on AWS for an agentic AI platform, owning features end to end through production.
Senior Data Engineer to build and own Jump Labs' analytics platform from the ground up: designing a cost-effective data warehouse, ingestion/ELT pipelines, orchestration, and data-quality tooling over tens of millions of behavioral records, plus revenue/LTV/ROAS models and ML training datasets. Stack: MySQL/MongoDB, Python/Polars/Parquet, Metabase, Airflow/Dagster, AWS, Kubernetes.
12-month Data Analytics Engineer contract in Alpharetta, GA (in-person interview required). The role sources and integrates data from IBM DB2, Snowflake, files, and REST APIs, then uses SQL, Python, and DuckDB to cleanse, transform, and curate datasets.
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