Top Senior Data Engineer Jobs in Indianapolis, IN

As a Senior Data Engineer, you will manage data pipelines, ensure data quality, partner with teams for data-driven decisions, and improve the data platform while maintaining data integrity.

The Senior Data Engineer will create and manage data pipelines, ensuring data quality, collaborating with teams for data-driven decisions, and evolving the data platform.

The Senior Data Engineer designs and maintains scalable data processing solutions, contributes to data ingestion, and collaborates across teams to optimize data workflows and pipelines.

The Sr. Data Engineer will build automation and observability for the EDAS platform, focusing on reliability through data-driven tools and workflows. Responsibilities include developing frameworks for monitoring, optimizing data pipelines, and collaborating to enhance platform performance and compliance.

Design and build scalable data pipelines and integrations on Google Cloud, focusing on healthcare data standards and ensuring data quality and performance.

The Senior Data Pipeline Engineer will manage and evolve Clever's data infrastructure, focusing on AWS, Airflow, Databricks, and ensuring reliable data ingestion and compliance.

As a Senior Data Analytics Engineer, you will build and manage data pipelines, support AI/ML initiatives, and ensure data reliability and accessibility within the organization.

The Staff Data Engineer will enhance the data ecosystem at WeightWatchers by developing data pipelines, collaborating cross-functionally, and ensuring data quality while leading projects and technical initiatives.

As a Senior Data Engineer II, you will design and operationalize data pipelines, support AI/ML tasks, and ensure integration of identity management systems for classified environments.

The Senior Data Engineer designs and maintains data infrastructure, creating scalable data pipelines and ensuring data quality while collaborating with cross-functional teams.

The Senior Data Engineer will build scalable data pipelines, ensure data quality, optimize ETL processes, and collaborate with stakeholders to enhance data infrastructure and analytics applications.

The Senior/Staff Data Engineer will design and scale the core data platform for healthcare systems, focusing on infrastructure, tooling, and governance while mentoring engineers and collaborating with various teams.

The Senior Data Engineer will design and operate data systems, optimize data pipelines, and enhance AI workflows for legal operations. Responsibilities include data modeling, implementing governance standards, collaborating with cross-functional teams, and mentoring junior engineers.

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

As a Senior Data Engineer, you will design ETLs for large customer datasets, improve integration tools, and mentor other engineers, impacting customer onboarding and data accuracy.

The Staff Data Engineer will design and maintain data systems, streamline workflow for Data Analytics and Machine Learning teams, and ensure data pipelines are efficient and reliable. Responsibilities also include driving large projects, collaborating across teams, mentoring, and supporting the company's strategy.

The Senior Staff Data Engineer at SmithRx will define technical vision, improve data engineering efficiencies, and enhance data governance while mentoring other engineers and leading cross-functional collaborations.

The Senior Data Engineer will design and manage data pipelines, work with complex datasets, and collaborate with teams to enhance data product integrity and effectiveness.

The Senior Data Engineer will design, construct, test, and maintain architectures including databases and large-scale processing systems.

The Sr. Data Engineer will build and maintain data pipelines, develop ETL processes, and optimize data infrastructure, collaborating across teams to ensure data reliability and performance.

The Data Architect & Strategy Lead will assess and optimize data operations, manage MongoDB performance, and implement modern data architecture and strategies, ensuring system reliability and performance.

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.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

The Senior Data Engineer will design and optimize data infrastructures and pipelines, lead projects, mentor juniors, and enforce best practices.

The Sr. Data Engineer - Databricks designs and maintains scalable data solutions using Apache Spark and Databricks, ensuring data quality and performance for analytics and reporting.