Top Data & Analytics Jobs in Austin, TX
Seeking a Senior Data Engineer to develop, test, and maintain data architectures in Snowflake using Python, SQL, and modern data orchestration frameworks. Must have 4+ years of experience in a similar role and be familiar with Airflow, RESTful APIs, and AWS. Strong problem-solving and analytical skills required.
As a Senior Data Engineer at Totango + Catalyst, you will be responsible for designing and implementing the next-generation data architecture using technologies like Databricks, TiDB, and Kafka. Responsibilities include driving high-impact data engineering projects, optimizing performance of data solutions, collaborating with stakeholders, and ensuring data quality and reliability.
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Seeking a Senior Big Data Engineer with expertise in Oozie, Airflow, Apache Hadoop, GCP, Java, Spark, Python, and experience in developing batch processing systems. Remote work environment, requiring strong communication skills and ability to solve complex problems independently.
DAS42 is seeking a Junior Data Engineer to join their team and work on developing system engineering, data integrations, data warehouse solutions, ETL pipelines, and business intelligence reporting tools. The ideal candidate will have 2-4 years of work experience in data analytics or data engineering, proficiency in Python, R, SQL, experience with consulting/professional services, and familiarity with visualization tools and cloud ecosystems.
Seso is looking for an Analytics Manager to oversee the selection, design, and implementation of data tools and technologies to build a scalable analytics infrastructure. The role involves developing high-value dashboards and KPIs to transform data into actionable insights and drive decision-making. Collaboration with senior leadership is crucial to ensure analytics capabilities evolve with the company's growth and goals.
Join the PandaDoc Data Team as a Senior Analytics Engineer, responsible for overhauling processes, creating insights infrastructure, and using data to address business opportunities. Collaborate with Product Data Analysts and Data Engineers to build foundational data models and improve data quality. Define best practices for Snowflake, dbt, and data modeling, and foster collaboration with cross-functional teams.
Responsible for leading and collaborating on engineering design, development, and deployment of features and projects. Write clean, reusable code and improve code structure. Work with colleagues and clients to solve problems and set delivery expectations.
The FedRAMP Systems Analyst is responsible for the success of the FedRAMP Authorization program at ScienceLogic. They will assist in the preparation and review of FedRAMP documentation, identify and escalate technical and program risks, gather and report metrics, manage FedRAMP Baseline and Impact Level development roadmap, and collaborate with stakeholders to ensure alignment with FedRAMP standards.
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Lead analytics for claims operations and post-purchase product features. Collaborate with various teams to optimize claim intake, adjudication, and fulfillment. Support management through analysis, modeling, and forecasting for insurance profitability. Bachelor's degree in Maths, Statistics, or relevant major required. Empathy and humility are valued traits.
Supports the research and development of stress testing and scenario analysis methodologies, applies analytics algorithms to develop models, summarizes statistical findings, and draws business conclusions to manage risks effectively. Leads the development of stress testing methodologies, coordinates data management, and integrates change management plans. Acts as a trusted advisor, influences business objectives, and represents the function during audits.
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