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Responsible for accurate and timely pre-registration, submission of prior authorizations for SLPG Primary Care and Specialty practices, submission of insurance referrals for all Primary Care and Care Now departments, peer to peer evaluations, verification and validation of all financial information, and Point of Service cash collection for all services assigned to ensure proper reimbursement.
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In addition to cash and equity compensation, we also offer employees a competitive array of benefits. Familiarity with related virtualization fundamentals, including networking datapath, containers, and data persistence layers.
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The ideal candidate will have a background and hands-on experience in areas, such as Quote-to-Cash, Record-to-Report, and custom solution design experience with a solid problem-solving mindset, excellent interpersonal communications, diligent time management skills, team-oriented, and a strong work ethic.
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8+ years of experience architecting data warehouses such as BigQuery, Redshift, Databricks. Develop ETL batch data pipelines with BigQuery or similar and orchestrate with modern orchestration tools (Airflow, Puppet.
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10+ years experience in data engineering with data warehouse technologies. As a member of our data engineering team, you'll be setting standards for data engineering solutions that have organizational impact.
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Create, maintain and monitor data flows in Spark, Hive, SQL and Presto for consistency, accuracy and lag time. Presto - fast parallel data warehouse and data federation layer. Create different consumers for data in Kafka using Spark Streaming for near time aggregation.
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Experience managing cloud data warehouse such as Google BigQuery, Snowflake, Databricks, or Amazon Redshift. 2024 is a year of incredible change at CodePath and we're looking for the right data engineer to lead the charge on our small, skilled, and growing team in the next phase of our exponential growth and impact as we transform computer science education.
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Knowledge of data governance and security practices specific to Databricks, AWS and Google Cloud, including IAM (Identity and Access Management), encryption, and access control. Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications.
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We offer generous cash & equity compensation. Based on market data and other factors, the salary range for this position is $180,000 - $250,000. Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon.
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As a data engineer on Kustomer's Engineering team, you will be responsible for growing our business by leveraging advanced data-engineering techniques to enhance our data architecture and streamline data-ingestion processes.
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Be the company's expert on data administration and master data management. Have good working knowledge of AWS data infra systems and Terraform. Bring a system-oriented and software engineering mindset to the Data Engineering practice.
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You have deep experience creating data warehouses using Timescale, Snowflake, and/or BigQuery, and you also bring experience using DevOps tools and solutions like Docker, CI/CD, and AWS. Design and Implement ETL Solutions: You'll be responsible for implementing our overall ETL approach, including accessing & setting up blockchain nodes to pull from, sourcing data from 3rd parties, and modeling our internal schemas across our PostgreSQL database(s.
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Supporting client mainframe application modernization projects through the solution design, calibration, code and data conversion, testing, and validation phases. Engaging in detailed conversations with solution architect(s) and technical leads regarding options for customizing and modifying code, and data conversion tools.
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The team's scope covers data pipeline development, search infrastructure, web scraping, detection algorithms, internal toolings and data quality. Alt's compensation package includes a competitive base salary benchmarked against real-time market data, as well as equity for all full-time roles.
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Knowledge of data warehousing concepts and experience with tools like Redshift, BigQuery, or Snowflake. Hands-on experience with big data technologies such as Hadoop, Spark, or similar frameworks.
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cash job Title: data entry in Allentown, Wailuku, Hawaii
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