Top Analytics Engineer Jobs in Austin
.png)
Responsible for providing clean data sets, modeling data, enabling team members to use new datasets, creating datasets and dashboards, establishing analytics-related standards, and proactively identifying and transforming suboptimal data.
Design, develop, and maintain scalable solutions for ongoing metrics, reports, and analyses to support analytical and business needs. Use SQL and data visualization tools to answer business questions and drive team consensus. Collaborate with stakeholders to translate data into business requirements. Ensure data integrity, troubleshoot data-quality issues, and recommend improvements to data sources.
Join Oscar as an Analytics Engineer II to work on improving the financial data pipeline, designing the Financial Data Hub, creating Certified Datasets, and collaborating with business stakeholders. Remote work role with occasional office visits in specified locations.
Build very large, scalable platforms using cutting edge data technologies, conceptualize and own data architecture, implement data quality monitoring processes, collaborate with cross-functional teams, design and launch data models and visualizations, solve challenging data integration problems, implement security model based on privacy requirements.
Building and maintaining production data pipelines for analytics, developing tooling and solutions for data practitioners, improving observability and maintainability in the data environment, creating and implementing standards for data flows, and automating processes throughout the data environment.
Restaurant365 is looking for a Sr Data Engineer to join our data warehouse team as a technical leader that enables the flow of information and analytics across the company. The Sr Data Engineer will lead the execution of the enterprise data lake, data warehouse, and analytic solutions.
Design and build data pipelines, document database designs, monitor and optimize production systems, perform code reviews, and work with cloud technologies and databases.
Design and build data pipelines and systems. Own data warehouse management. Provide continuous data analysis. Collaborate with engineering and executive team. Define and develop data engineering standards.
Featured Jobs
Dropbox is seeking a Data Engineer to build next-generation Financial data pipelines for crucial business decisions. Responsibilities include managing data pipelines, ensuring data quality, solving integration problems, and collaborating with business and engineering teams.
The Senior Data Engineer will be responsible for managing data infrastructure, building data services/platforms, and creating and maintaining ETL pipelines. They will work closely with the Software and Analyst teams, improving databases and infrastructure, and implementing process improvements. The role requires experience in full stack development, data engineering, and working with various data technologies.
Full-time Data Engineer role at SailPoint focusing on building and scaling the SailPoint Data Platform. Responsibilities include delivering efficient solutions to data engineering challenges, collaborating with peers, and producing tests to improve code quality. Requires 1-2 years of software development experience, strong Python and SQL skills, and a degree in Computer Science or related field.
Seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure in support of product, analytics, and ML initiatives.
We are looking for a Senior Data Engineer to help us create solutions that leverage our next generation cloud-based data platform. You will design, develop, and deploy solutions on large scale trading data utilizing technologies such as Big Query, Looker, Cloud Functions, and more. You will build reporting infrastructure that enables users to access complex financial data with ease and deliver data sets that adhere to strict quality requirements to regulatory entities and vendors.
The Senior Data Engineer at 2K will focus on data deliverables for Business and Studio, designing and building data models, building APIs and data products, monitoring data pipelines, and collaborating with business partners and developers.
Seeking a Senior Data Scientist to work on forecasting infrastructure for artificial intelligence, drive Cloud and Infrastructure strategy, and collaborate with various departments to provide insights.
Support database migrations, query optimization, database tuning, define database architecture, develop data models, uphold security standards, monitor databases, establish access schemes, and write documentation. Requires Bachelor's degree in Computer Science or Data Science, 5 years of data engineering experience, and expertise in PostgreSQL databases and SQL.
Support Database Migrations, Query Optimization, Index Tuning, Database Tuning. Define Architecture and Data Models. Work with Development Teams, Maintain Security Standards, Monitor Databases, Establish Access Schemes, Write Documentation.
.jpeg)
Senior Data Scientist role in Customer Analytics for a fast-growing company, involving analysis and strategic insights. Requires proficiency in SQL and expertise in Python/R.
Apple's Advertising Platforms Data Products Engineering team is seeking a data engineer to develop next-generation data products and analytical solutions. Responsibilities include building data architectures, pipelines, and working with leading-edge technologies like AWS, Spark, and more.
As a Data Engineer at Shipwell, you will contribute to the design, development, and maintenance of data pipelines, optimizing cloud infrastructure, and enabling data access for research projects. Responsibilities include ETL, data integrity standards, and performance optimization. Collaborate with cross-functional teams and contribute to scalable data architectures.
As a Data Engineer Specialist at Accenture, you will work with a marketing analytics team to support ETL and ELT processes, implement ETL architecture, data pipelines, and Source to Target mapping, collaborate with data scientists and machine learning engineers, and research new technologies to enhance data engineering capabilities. Minimum of 5 years' experience in software or data engineering and 3 years' experience in digital marketing required.
As a Data Engineer, you will be responsible for designing and implementing data infrastructure, building data pipelines, ensuring data quality and integrity, and collaborating with cross-functional teams to optimize data delivery.
Architect data pipelines, optimize model performance, establish metrics, lead and mentor data scientists, analyze and solve problems using technology
The Senior Data Engineer will be responsible for managing data infrastructure, building ETL pipelines, and improving databases. They will work closely with the Software and Analyst teams to ensure the smooth flow of data and implement innovative solutions. The ideal candidate should have experience with OpenSource tech, ETL pipelines, data infrastructures, and SQL.
Develop and maintain dimensional data models, write SQL queries and Python code, identify data integrity issues, enforce data policies, build and scale digital data models, implement and maintain database structures, and develop documentation on databases and tables.
Top Austin Companies Hiring Analytics Engineers
See All
.jpeg)
.png)
All Filters
No Results
No Results
