Top Data Engineer Jobs in Austin, TX
The Senior Data Integration Engineer will develop data models and processing pipelines for large data sets, utilizing SQL and RESTful APIs. Responsibilities include designing and maintaining ETL processes, integrating data from various sources, and ensuring data quality and integrity.
As an Analytics Engineer, you will work with cross-functional teams to build and maintain the data warehouse, improve data usability, quality, and reliability, and develop data quality rules and documentation.
The Salesforce Administrator will ensure the accuracy and organization of Salesforce data, perform audits, implement data validation, and create reports and dashboards to support business insights and decision-making.
The Senior Database Administrator is responsible for managing the ADABAS Database environment, including installation, customization, maintenance, performance tuning, security management, disaster recovery planning, and the implementation of new technologies. They collaborate with development teams to optimize database queries and support both structured and unstructured data management.
The Data Architect will design and implement cloud solutions focusing on data collection, ETL processes, and analytical reporting. This role involves supporting data architecture development, migration activities, technical communications with stakeholders, and leading technology evaluations within a dynamic agile team working with the Department of Transportation.
The Salesforce Administrator will manage and maintain the integrity of Salesforce data, performing audits to correct errors and ensure consistency. Responsibilities include implementing data validation rules, archiving outdated data, managing storage limits, and creating customized reports for business insights.
The Sr. Data Engineer will implement data integration architectures and develop ETL logic using Informatica, Snowflake, and Azure tools. Responsibilities include designing data management functions, collaborating on technical solutions, solving problems independently, and executing unit tests.
As a Senior Machine Learning Engineer at Enigma, you will develop scalable ML systems, enhance entity resolution algorithms, and improve machine learning infrastructure, directly impacting business decisions for customers. You will collaborate with data scientists and engineers to innovate and maintain high-performance systems.
Responsible for infrastructure and operations of data storage solutions, third-party integrations, data provisioning services, and ETL/ELT code-based solutions. Develop and implement ETL/ELT pipelines, design databases, and optimize queries for web applications. Work collaboratively with data scientists, programmers, and IT teams in a global setting. Preferred experience in Clinical Data and Regulatory Governance in Pharma Industry.
The Data Engineering Manager will lead the development of data-driven solutions, execute digital strategies, manage projects, and enhance product quality. Responsibilities include data analysis, talent development, cybersecurity, and budget planning.
Top Companies in Austin, TX Hiring Data + Analytics Roles
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