ASD Analytics Engineer (Data / SQL)

GCP Data Engineer

The engineer will develop and maintain enterprise data pipelines and financial data models within the GCP environment. Responsibilities include integrating financial data from SAP into BigQuery and ensuring the reliability of daily financial reporting assets.

Senior Software Engineer, Data Platform

You will design, build, and operate the distributed services and compute infrastructure that power the company's data platform. Additionally, you will lead the technical evolution of the platform toward an AI-first architecture while mentoring team members and ensuring operational excellence.

Founding Data Engineer (Pricing/Comps)

You will build and operate scalable data ingestion pipelines and develop entity resolution systems to match inconsistent listing data. Additionally, you will create valuation logic and monitor data quality to ensure accurate pricing estimates for the marketplace.

AWS ETL Data Engineer - REMOTE

Design, develop, and maintain scalable data pipelines and ETL/ELT processes across AWS platforms. Collaborate with business and technical teams to ensure data quality, governance, and compliance with privacy regulations.

Senior Data Engineer

Design, develop, and maintain scalable ETL/ELT data pipelines and cloud-native data solutions using Python, PySpark, and Snowflake. Collaborate with cross-functional teams to optimize data performance, ensure data quality, and implement robust data governance practices.

Principal Forward Deployed Engineer - Data Science

The Principal Forward Deployed Engineer will serve as a primary technical leader for strategic accounts, driving business outcomes through hands-on execution. They will build and ship production-grade solutions while collaborating directly with customers to translate business needs into technical approaches.

AI Data Engineer (ML Data Pipelines)

Design and build scalable data pipelines to support machine learning workflows, including feature engineering and real-time data ingestion. Collaborate with cross-functional teams to ensure data quality, monitoring, and efficient model deployment.

Cloud Data Engineer (Snowflake/Databricks) – Remote

Design and build scalable data pipelines while optimizing transformation workflows in Snowflake or Databricks. Collaborate with cross-functional teams to ensure high-quality, performant, and secure data systems for analytics and reporting.

Data Engineer (Contract, Remote)

The roles involve designing, building, and maintaining scalable data pipelines, cloud infrastructure, and analytical dashboards to support business decision-making. Responsibilities also include ensuring data quality, automating infrastructure, and collaborating across technical and business teams.

Cybersecurity Data Engineer Security Telemetry & Azure x2

Design, develop, and maintain scalable pipelines to ingest security telemetry into SIEM and cloud analytics platforms. Collaborate with cross-functional teams to ensure data quality, improve monitoring coverage, and support threat detection use cases.

Senior Data Engineer

The Senior Data Engineer will design, build, and maintain scalable data infrastructure, including pipelines and ETL/ELT processes, to support analytics and AI applications. They will also manage data storage patterns, ensure data quality, and collaborate with cross-functional teams to provide trusted reporting and machine learning datasets.

Senior Data Engineer

You will architect and build foundational data pipeline infrastructure to support a decentralized Data Mesh strategy and AI-ready semantic layers. Additionally, you will lead a small data engineering team and mentor analysts to enable self-service data product development.

184. Data Engineer

You will build and maintain Spark-based pipelines to process large-scale healthcare claims data on AWS. The role involves orchestrating data workflows, ensuring data integrity, and optimizing performance for cost-effective data processing.

Big Data Engineer

The Big Data Engineer will design, build, and operate large-scale data processing pipelines and analytics platforms using the Hadoop ecosystem. They are responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics and machine learning workloads.

Lead Data Engineer

The Lead Data Engineer will lead the development and operationalization of data pipelines, including ingestion, transformation, and quality validation. They will also guide the team in designing high-performance data structures and real-time processing applications to support business intelligence analytics.

Lead Data Engineer

The Lead Data Engineer will design, build, and maintain reliable data pipelines and infrastructure to support SaaS analytics. They will also supervise a Data Engineer and ensure the quality, security, and performance of data flows from various sources.

Sr Data Engineer

The role involves designing and maintaining scalable data pipelines in Snowflake to process complex clinical and claims data for HEDIS reporting. You will also integrate AI/ML models into workflows to automate clinical data extraction and care gap identification.

183. Senior Data Engineer

Build and maintain Spark-based data pipelines to process large-scale healthcare claims datasets on AWS. Orchestrate complex ETL/ELT workflows while ensuring data integrity, privacy, and performance optimization.

Senior Structural Engineer, Data Centers - Remote (U.S.)

Lead and perform structural design and analysis for hyperscale and colocation data center facilities. Coordinate design deliverables with multidisciplinary teams and provide technical guidance to junior staff.

Quality Engineer – Data Quality & Cloud Analytics Platforms

You will architect and maintain data validation frameworks, testing automation, and quality controls to ensure enterprise data products are accurate and reliable. Additionally, you will collaborate with engineering teams to perform root cause analysis on data discrepancies and integrate quality checks into CI/CD pipelines.

Lead AI Engineer - Data Science and Algorithms

The Lead AI Engineer will design, build, and deploy production-grade AI and machine learning algorithms to support enterprise and government programs. This role involves mentoring staff, translating complex technical requirements into actionable solutions, and maintaining high-quality software standards.

Data Engineer | Python + SQL + ETL | 100% Remoto

Design and develop custom data pipelines using Python and SQL without relying on visual ETL tools. Manage data ingestion, processing, and quality control while optimizing database performance for high-volume environments.

Associate Data Engineer

The Associate Data Engineer will design, build, and maintain scalable data pipelines and storage solutions for the Enterprise Individual Mastering Platform. They will collaborate with cross-functional teams to support data analytics and utilize AI tools to streamline workflows and automate tasks.

Data Engineer | Python + SQL + PostgreSQL

Develop and maintain data ingestion and transformation processes using Python and advanced SQL. Design robust ETL/ELT pipelines while ensuring data quality and optimizing performance for large datasets.

Data Engineer (Databricks)

The role involves designing and maintaining data pipelines using Databricks. You will be responsible for implementing data solutions to support business requirements.

Data Engineer – Snowflake & Power BI

Design, develop, and maintain data solutions and pipelines using Snowflake and SQL. Create and evolve business intelligence models, dashboards, and reports using Power BI to meet business requirements.

Data Engineer – Snowflake & dbt

The role involves designing, building, and optimizing modern data pipelines and transformation models using Snowflake and dbt. You will collaborate with multidisciplinary teams to deliver scalable data solutions and ensure high-quality analytical outputs.

AI Data Engineer

The AI Data Engineer will build and improve UI components for internal annotation tools and design efficient production workflows. They will also develop analytical dashboards and manage deployment pipelines using Azure cloud infrastructure.

Lead Platform Engineer (Data & AI)

The Lead Platform Engineer is responsible for the architecture, deployment, and operationalization of AI, Microsoft Fabric, and workflow platforms across client engagements. This role involves leading internal tooling ecosystems, coordinating with development teams, and providing technical leadership for AI-powered solutions.