Top Data Engineer Jobs in Indianapolis, IN
The Data Engineer will create and manage data sources, assist with SQL queries for the Analytics team, contribute to project workflows, and develop reporting solutions, enhancing data accessibility for business stakeholders.
The Data Engineer will work closely with software engineers to aggregate various data sources and develop actionable dashboards for business leaders at a premier banking client.
The Senior Data Analytics Specialist will collaborate with public safety professionals, providing expert support and developing data analytics solutions. Responsibilities include creating dashboards, training personnel, gathering feedback, and enhancing services, while ensuring clear communication between technical teams and clients.
The Data Analytics Associate will work with public safety professionals to understand their needs and convert them into technical solutions. Responsibilities include providing support and training to clients, developing data analytics dashboards, gathering customer feedback, and collaborating with management to improve processes within public safety operations.
The Privacy and Compliance Analyst at Sabre will assist in developing and maintaining global privacy policies and compliance measures. Responsibilities include managing the OneTrust platform, conducting assessments of privacy programs, providing guidance on privacy issues in project planning, and maintaining privacy metrics reporting.
As a Data Solution Consultant at Guidewire, you will engage with property and casualty insurance companies to advise on the Data Platform and its benefits. Your role involves technical sales support, conducting presentations, identifying platform requirements, and collaborating with clients to meet business objectives. You will leverage your data management experience and insurance domain knowledge to drive successful solutions.
As a Big Data Engineer, you will collaborate with cross-functional teams to design and implement scalable data pipelines, ensure data quality, and provide technical support for data migration projects. You will utilize Azure tools and technologies to deliver high-quality data solutions across various business areas.
The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.
As a Big Data Engineer, you will lead data migration efforts and design scalable data pipelines using Azure services. Collaborating with cross-functional teams, you'll ensure data quality and resolve technical challenges during transitions. You'll leverage your extensive IT experience, particularly in Azure Databricks, to develop robust data solutions that meet business needs.
The Mid-Tier Database Administrator will manage SQL Server databases in a Windows environment, focusing on administration, performance tuning, security compliance, backup and recovery, and automation. They will collaborate with developers on database design and implement scripts for efficient operations.
The Database Engineer will design, implement, and manage scalable database systems, develop ETL pipelines for data flow, utilize cloud services for database management, optimize query performance, and ensure data security and compliance.
The Sr. EDI Analyst will analyze and redesign business IT processes, focusing on EDI implementations within the healthcare sector. Responsibilities include developing technical specifications, refining mapping documents, collaborating with developers for testing, and ensuring high-quality product delivery within an Agile environment.
The Lead Data Engineer will design, build, and maintain scalable data pipelines and analytics solutions to support Nike's Advanced Analytics and Business Intelligence initiatives. Responsibilities include leading a team of engineers, collaborating with cross-functional stakeholders, implementing data governance, and optimizing data processing architectures.
Top Companies in Indianapolis, IN Hiring Data + Analytics Roles
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