Healthcare data analyst jobs in Austin, Texas - Page 2Create job alerts

A leading healthcare recruiting firm in Austin is seeking an experienced Claims Analyst/Examiner. This position involves investigating rejected claims, analyzing results, and reviewing extensive data spreadsheets.

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

Your primary focus will be on leading the data pipeline, modeling, and populating data schemas within Self Financial's Data Environment for use in business intelligence and data analysis activities. Creating Physical and Logical Data Models with large, complex data sets ○ Managing data pipeline, E

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's

Bonus points if you have previous blockchain data, early-stage startup, or finance experience!. As a software engineer on the data platform, your responsibilities will include:. Building our core data systems and API.

For more information about Data-Core Systems, Inc.

Minimum 5 years of experience building internally facing data tooling using systems like Snowflake, Clickhouse, Fivetran, Chalk, Hightouch, dbt, Redash, Looker, etc. Experience improving the developer experience and security properties of a internal data tooling. Drive our security roadmap for Ramp�

Veeva OpenData supports the industry by providing real-time reference data across the complete healthcare ecosystem, to support commercial sales execution, compliance, and business analytics. In the role of Senior Software Engineer, Data Platform at Opendata, you'll spearhead the development of enti

On Team Intel, our mission is to take complex financial data and provide magical, data- and AI driven experiences to our millions of users. TypeScript, React (or similar framework), and Postgres (or similar relational database). Personal finance has a LOT of data-variability - building elegant featu

We are looking for an experienced Financial Credit Analyst hire based in the United States to help build our US credit data set. Big 4 accounting firm/ financial data analyst looking to develop new skills, both financial and technological, while expanding your professional horizons. Growing our data

From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. They oversee and manage work assignments of other Financial Analyst(s) but are not career managers of staff. Prep

Atropos Health is the developer of GENEVA™ OS , the operating system for rapid healthcare evidence across a robust network of real-world data. Healthcare and life science organizations work with Atropos Health to close evidence gaps from bench to bedside, improving individual patient outcomes with

The ideal candidate will be responsible for designing, developing, and maintaining reliable data pipelines while embedding data quality, validation, and automation practices directly into the data engineering lifecycle. This role supports enterprise data platforms and products within a DevSecOps f

Collaborate with data scientists and analysts to deliver trusted, well-documented datasets. Familiarity with data governance frameworks and tools (data lineage, data cataloging). Strong understanding of data modeling, schema design, and data architecture principles.

They oversee and manage work assignments of other Financial Analyst(s) but are not career managers of staff. Prepare financial Contract Data Requirements (CDRL) for programs. Possession of excellent data management, problem solving and critical thinking skills.

Trilogy Federal drives innovative solutions for complex business challenges across financial management, healthcare, and government industries. Senior Momentum Financials Business Analyst - Configuration.

Experience managing large data set of building and associated data. Architect and develop a large geospatial database to host multimodal building. Experience in programming and data analysis with Python.

The Data Warehouse Infrastructure team is responsible for the foundational big data infrastructure, which is used by hundreds of engineers to collect, manage, and analyze data at scale. Architect, design, and implement Airbnb's next-generation big data compute platform to support data ETL, analytics

The engineer will also help maintain data systems that meet the performance, security, and scalability standards required to handle sensitive healthcare and social care datasets. The Data Engineer is responsible for designing and maintaining scalable, high-performance data infrastructure that suppor

Dug into a uniquely formatted source database to uncover edge cases and ensure data fidelity. Data Migration Engineer (ETL Developer). Interest in public safety data and the impact of high-quality migrations on customer success.

Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores. As a Senior Software Engineer on the Data Platform team at SentiLink, you will own the data infrastructure components that support the SentiLink suite of products. You will work with

Partner closely with analytics, data science, and product engineering teams to understand data needs and translate them into well-designed, reusable data models and pipelines. Ensure data systems meet privacy, security, and compliance requirements, with a strong understanding of handling sensitive m

Proven ability to automate repetitive tasks, improve data hygiene, and enable experimentation across GTM data use cases aligning with the emerging responsibilities of GTM engineering where clean, reliable GTM data foundations enable high-leverage automation and insight generation. Build and maintain

Lead the implementation of a resilient, privacy-first data platform architecture that powers personalization, ethical AI, and accelerates data-driven decisions. Act as a technical thought leader, shaping the company’s data strategy and influencing cross-functional roadmaps with data-centric soluti

Develop and manage DataLayer structures to ensure accurate data capture. Huge is looking for a Senior Data Engineer with strong experience in web analytics implementation and data tracking architecture. Ensure data accuracy for reporting, performance analysis, and decision-making.

Design, build, and maintain scalable ETL/ELT pipelines to transfer data to and from clients from diverse sources, such as APIs, cloud storage, and databases. Strong experience with Azure cloud services, such as Azure Data Lake Storage, Azure Data Factory, and Azure Synapse. Come join our Data Operat

CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. Experience with developi

Design, implement, and maintain data models, pipelines, and architecture to support current and future product needs – focusing on healthcare datasets such as claims, EHR, BCDA, and CCLF. Data will be integrated into systems such as Snowflake, Postgres, or Databricks for downstream analytics, requ

This is a role for engineers who think beyond moving data from A to B and care deeply about how data is understood, reused, and scaled in a modern analytics and AI-driven ecosystem. Enrich datasets with meaningful metadata, ownership, lineage, and freshness signals. Build and maintain production-gra

Collaborate with Data Engineering/IT to improve data quality, lineage, and access controls across Snowflake and PostgreSQL; deploy solutions reliably and securely. Experience with asset onboarding, data tape ingestion, and reconciling third-party data and documents into internal systems (preferred).

Build and maintain end-to-end data pipelines and automation workflows using tools like n8n and modern API integrations. Experience building data automations and integrations using tools such as n8n or similar. Proven ability to translate data into actionable product insights.

You will work directly on company critical projects related to how our users’ data is brought into our data stores, normalized across different data stores, and exposed for analysis, using technologies such as AWS, Azure, Snowflake, Databricks, and Splunk. Experience with ingesting large amounts o

Work with large datasets and AI/ML systems to process and enhance healthcare pricing data. Healthcare domain experience or understanding of healthcare data and pricing models. Experience with data analysis tools like Pandas, NumPy, or similar for large dataset analysis.

As part of this opportunity, the role includes an initial structured training and ramp-up period focused on modern Data Engineering tools and practices, including technologies such as Databricks, Snowflake, and other key components of the data ecosystem. Design, build, and support modern data pi

Integrate data into StackAdapt’s Customer Data Platform (CDP). At least 5 years experience of software development in distributed systems, architecting scalable microservices and data pipelines in a successful high-growth technology company. A strong understanding of computer science fundamentals,

As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals. The Data Platform position is a software development role with knowledge of data architectures and data delivery. Efficiently ha

Accela Business Systems Analyst. Accela Business Systems Analyst. The individual will not be required to report to onsite offices on a regular basis, however, CLIENT anticipates ad-hoc in person workshops, training, and other meetings as needed throughout the proj

We’re looking for a Senior Data Engineer II to join ActBlue’s Data Department and contribute to building and evolving the data products that power our platform. Design, build, and maintain scalable, reliable, and secure data pipelines using Python, with a focus on enabling data access and insigh

Build and maintain robust data pipelines that ingest, transform, and validate complex customer data using PySpark, Python, and dbt to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use. Solve real-world data quality challenges by wor

You’ll contribute to a major platform modernization effort, including migrating the data lake to new underlying data formats, re-architecting high-scale ingestion patterns, and building mechanisms that enable AI/ML use cases on top of the data lake. Experience with large-scale data lake storage sy

Experience in Python, SQL, query and database optimization, data pipelines, data modeling, and privacy/security best practices. Develop robust ELT workflows, data models, and distributed processing jobs using modern cloud data technologies. Leverage best practices to ensure data quality, integrity,

Establishing and refreshing data architectures/models, data standards, data transformations, and data integrations. Python, SQL, Data modeling, APIs. Analyzing use cases and high-level requirements to define lower-level requirements sufficient to design and implement data solutions.