ZipRecruiter

Log In

2

Provider Data Remote Jobs in Missouri (NOW HIRING)

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Facilitate the transfer of knowledge and provide training to team members, customers, and partners ...

UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

... creating growth, providing TUCE and introducing greater innovation and efficiencies into our ... Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ...

ChenMed

$76.33/hr

... virtual, remote consultation via video conference or telephone. Providing on-call coverage, the ... Analyzes data to determine appropriate health maintenance and/or improvement methods. * Confers ...

New

ChenMed

$107K - $136K/yr

Analyzes data to determine appropriate health maintenance and/or improvement methods. * Confers ... Provides extraordinary customer service and professionalism to all internal and external customers.

Psyctalent

BCBA - Remote

MO · Remote

$70K - $86K/yr

Psyctalent is a leading provider of remote behavioral health services, specializing in applied ... make data-driven decisions to modify treatment plans as needed - Collaborate with caregivers ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

By providing fast, flexible, and equitable access to low-cost capital through our easy-to-use ... This position is fully remote, requiring a reliable internet connection in a private setting.

Jobgether

$94K - $124K/yr

... providing clear technical guidance and solution recommendations. * Support the transition from ... Fully remote contract opportunity for Europe-based professionals. * Opportunity to lead the ...

previous pagenext page

Showing results 21-40

All JobsProvider Data JobsProvider Data Remote JobsProvider Data Remote Jobs in Missouri

Provider Data Remote information

What is the difference between Provider Data Remote vs Provider Data Specialist?

AspectProvider Data RemoteProvider Data Specialist
CredentialsTypically requires healthcare data management certifications or relevant experienceOften requires similar certifications, such as medical coding or data management credentials
Work EnvironmentRemote, often independent or team-based in healthcare organizationsPrimarily office or healthcare facility-based, but can include remote options
Industry UsageCommonly used in healthcare, insurance, and medical data management

Provider Data Remote and Provider Data Specialist roles share similar credentials and industry usage, focusing on healthcare data management. The main difference lies in the work setting, with Provider Data Remote working primarily remotely, offering flexibility, while Provider Data Specialist roles may be more office-based. Both roles are essential for maintaining accurate provider information in healthcare systems.

What does a Provider Data Remote do?

A Provider Data Remote is responsible for managing and maintaining healthcare provider information, such as credentials, contact details, and contract status, within a healthcare organization's database. This role is typically performed remotely and involves verifying data accuracy, updating records, and ensuring compliance with regulatory requirements. Provider Data Remotes collaborate with providers, insurance companies, and internal teams to resolve discrepancies and support network operations. Strong attention to detail, data management skills, and familiarity with healthcare terminology are essential for success in this position.

What are some common challenges faced by Provider Data Remote, and how can they be managed?

Provider Data Remote professionals often encounter challenges such as managing large volumes of complex provider information, ensuring data accuracy, and keeping up with frequent updates from multiple sources. Working remotely can also mean collaborating with cross-functional teams in different locations, which requires strong communication and organizational skills. To manage these challenges, it's helpful to use standardized data management tools, establish clear communication protocols with team members, and stay updated on industry regulations related to provider data.

What are the key skills and qualifications needed to thrive as a Provider Data Remote?

To thrive as a Provider Data Remote specialist, you need strong attention to detail, data entry proficiency, knowledge of healthcare terminology, and typically an associate's or bachelor's degree in a related field. Familiarity with provider data management systems, Microsoft Excel, and claims processing software is commonly required, along with experience using databases like Facets or CAQH. Excellent organizational skills, problem-solving abilities, and clear communication help you stand out in this role. These skills ensure the accuracy and integrity of provider data, supporting efficient healthcare operations and compliance.

What are the most commonly searched types of Provider Data jobs in Missouri?

The most popular types of Provider Data jobs in Missouri are:

What are popular job titles related to Provider Data Remote jobs in Missouri?

For Provider Data Remote jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Provider Data Remote jobs in Missouri look for?

The top searched job categories for Provider Data Remote jobs in Missouri are:

What cities in Missouri are hiring for Provider Data Remote jobs?

Cities in Missouri with the most Provider Data Remote job openings:

Provider Data Remote jobs near you

Data Engineer - Multiple Positions

Koantek

Chesterfield, MO • Remote

$113K - $136K/yr

Contractor

Re-posted 20 days ago

Job description

Location: United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to support business decisions for our clients. Your role will involve designing and building robust data pipelines, integrating structured and unstructured data from various sources, and developing tools for data processing and analysis. You will play a pivotal role in managing data infrastructure, optimizing data workflows, and guiding data-driven strategies while working closely with data scientists and other stakeholders.

The impact you will have: Guide Big Data Transformations: Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications. Ensure Best Practices: Guarantee that Databricks best practices are applied throughout all projects to maintain high-quality service and successful implementation. Support Project Management: Assist the Professional Services leader and project managers with estimating efforts and managing risks within customer proposals and statements of work.

Architect Complex Solutions: Design, develop, deploy, and document complex customer engagements, either independently or as part of a technical team, serving as the technical lead and authority. Enable Knowledge Transfer: Facilitate the transfer of knowledge and provide training to team members, customers, and partners, including the creation of reusable project documentation. Contribute to Consulting Excellence: Share expertise with the consulting team and offer best practices for client engagement, enhancing the effectiveness and efficiency of other teams.

Requirements Minimum qualifications: Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Experience: 3+ years of experience as a Data Engineer, with proficiency in at least two major cloud platforms (AWS, Azure, GCP). Proven experience in designing, developing, and implementing comprehensive data engineering solutions using Databricks, specifically for large-scale data processing and integration projects Develop scalable streaming and batch solutions using cloud-native components.

Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalisation, utilising Databricks and related technologies. Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data environments to optimize development and deployment workflows. Technical Skills: Expert-level proficiency in Spark Scala, Python, and PySpark.

In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling. Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce. Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions.

Databricks Specific Skills: Extensive experience in data migration from on-premises to cloud environments and in implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP). Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration. Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines.

Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities. Good to have Certifications: Certification in Databricks Engineering (Professional) Microsoft Certified: Azure Data Engineer Associate GCP Certified: Professional Google Cloud Certified. AWS Certified Solutions Architect Professional.

Apply