Top Data & Analytics Jobs

The Lead Python Developer will design and develop Python-based analytics solutions, create reporting tools, collaborate with stakeholders, and mentor peers in a healthcare analytics environment.

The Sales Data Analytics & Visualization Developer will create advanced analytics and visualizations to support sales and marketing, ensuring strategic objectives are met through actionable insights and automated reporting tools.

The role involves overseeing data engineering activities, improving data governance processes, and mentoring teams while architecting scalable data platforms and solutions.

Design, develop, and maintain data pipelines; collaborate with teams to support data needs; optimize data jobs and ensure data quality; utilize AWS services for data solutions.

The Data Analytics Engineer will build reliable data pipelines, transform data for analysis, and create dashboards and reports while collaborating with cross-functional teams.

Implement and enforce data governance, manage data cataloging and metadata, facilitate Atlan adoption, align data models with analytics needs, manage controls and audits, mentor junior staff, and resolve data quality issues while collaborating with business and engineering teams.

Lead design and implementation of batch and streaming data pipelines, build data models, implement data quality and testing, manage orchestration and IaC, mentor engineers, and communicate technical direction and tradeoffs to stakeholders.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Senior Data Engineer will design and optimize data infrastructure, build scalable data pipelines, and ensure data quality while collaborating with various teams.

The Senior Data Engineer will design and implement data pipelines, data models, and dashboards using cloud technologies and analytics tools to drive business insights and performance.

As a Data Analytics Engineer at Pelago, you'll design and maintain scalable data models, ensure data quality, and collaborate across teams to support analytics and machine learning initiatives.

The Senior Data Engineer will design and build scalable data solutions, manage data infrastructure and pipelines, and collaborate with teams to ensure data quality and drive business outcomes.

The Data Engineer will create dashboards, design data ingestion pipelines, enforce data quality, collaborate with stakeholders, and lead incident management.

The role involves developing and deploying advanced analytics solutions for manufacturing, utilizing machine learning and statistical techniques to optimize processes and support decision-making.

The Lead Data Engineer oversees application system implementation and development, ensuring compliance and user support while guiding less experienced staff.

The Data Infrastructure Engineer will build and operate data platforms for AI/ML analytics, focusing on data pipelines, lakehouse architecture, governance, automation, and CI/CD for data workflows.

Develop and support cloud-based data analytics architecture, including Power BI reports and dashboards. Collaborate with stakeholders to ensure accurate data integration and reporting solutions.

Data & Analytics Engineer at MojoTech, working with clients to define data requirements and deliver analytics solutions and pipelines. Requires 3+ years experience.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

Manage ETL processes, integrate data, optimize databases, and ensure data quality for analytics, supporting operations and maintenance projects.

Develop and implement scalable data solutions, automate workflows, build databases and applications, perform data mining, NLP, and machine learning on structured and unstructured data, create dynamic visualizations and reports, write queries and ETL pipelines, and consult with government stakeholders to improve data-driven decision making and processes.

The Data Reliability Engineer ensures data integrity by developing automated QA systems, complex SQL validators, and performing root cause analysis to trace data issues.

Lead data platform architecture and delivery for healthcare-focused Lakehouse/Warehouse solutions. Drive Databricks/AWS design, governance, security (PHI/PII), ETL/Delta Live Tables, APIs, modeling (FHIR/OMOP), IaC (Terraform), pipeline performance, and cross-functional collaboration to deliver scalable, production-grade data products.

Design and implement enterprise Databricks/AWS data platform and lakehouse solutions for healthcare data. Build and optimize ETL pipelines (Delta Live Tables), medallion architectures, streaming and batch processing, data models (FHIR/OMOP), governance (Unity Catalog), security for PHI/PII, IaC with Terraform, and collaborate with cross-functional teams to deliver reliable, cost-effective external and internal data products.

The Data and Analytics Engineer will build and maintain scalable ELT pipelines, leveraging data for analytics and reporting within the Snowflake data architecture.