Top Remote Data Engineer Jobs in Austin, TX
As a Quality Engineer, you'll assist in monitoring product and process quality, investigate quality issues, and coordinate improvement initiatives using data analysis. You will measure performance through KPIs, maintain dashboards, analyze trends, and ensure data integrity in a cross-functional environment.
The Head of Data Analytics will develop the analytics strategy, collaborate with product and data engineering teams, create core metrics and insights, lead tooling improvements, and mentor the analytics team to enhance capabilities and effectiveness.
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As a Data Engineer at Reach Financial, you'll develop and manage data pipelines, collaborate with data scientists and analysts, maintain documentation, and troubleshoot issues while modernizing the company's data platform. You'll work closely with Lead and Senior Data Engineers and help evaluate new tools for optimizing the data ecosystem.
The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.
The Data Engineer is responsible for designing and maintaining data structures, ensuring accuracy and accessibility of data, assessing existing data architecture, supporting BI reporting needs, and creating quality standards for data integrity, while working with clients to meet their data management needs.
The role involves building and maintaining comprehensive account databases for clients, researching and identifying relevant companies, and validating B2B data accuracy. A skilled B2B Data Developer will utilize data mining techniques and collaborate with internal teams to tailor data collection to client needs.
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
The Data Conversion Consultant Level 1 is responsible for managing data conversion projects, ensuring accurate data migration, troubleshooting issues, and supporting clients pre and post-go-live. The role involves data testing, validation, and analysis for errors, while collaborating with various stakeholders to ensure project success.
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As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.
The Senior Data Engineer will build datasets and ensure quality data accessibility for product teams and data scientists. Responsibilities include designing data structures for the data warehouse, creating ETL processes, and collaborating with various teams to meet data needs and support business analytics efforts.
Top remote Companies in Austin, TX Hiring Data + Analytics Roles
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