Full-Time

Data Engineer

Confirmed live in the last 24 hours

HiLabs

HiLabs

201-500 employees

Healthcare data analytics for health plans

No salary listed

Mid

H1B Sponsorship Available

Pune, Maharashtra, India

Category
Data Engineering
Data & Analytics
Required Skills
Talend
Microsoft Azure
Redshift
Python
MySQL
NoSQL
Git
BigQuery
Apache Spark
SQL
Java
Postgres
AWS
Scala
MongoDB
Hadoop
Cassandra
Snowflake
Google Cloud Platform
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
  • 3-5 years of hands-on experience as a Data Engineer or in a related data-driven role.
  • Strong experience with ETL tools like Apache Airflow, Talend, or Informatica.
  • Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).
  • Strong proficiency in Python, Scala, or Java for data manipulation and pipeline development.
  • Experience with cloud-based platforms (AWS, Google Cloud, Azure) and their data services (e.g., S3, Redshift, BigQuery).
  • Familiarity with big data processing frameworks such as Hadoop, Spark, or Flink.
  • Experience in data warehousing concepts and building data models (e.g., Snowflake, Redshift).
  • Understanding of data governance, data security best practices, and data privacy regulations (e.g., GDPR, HIPAA).
  • Familiarity with version control systems like Git.
Responsibilities
  • Design, develop, and maintain robust and scalable ETL/ELT pipelines to ingest and transform large datasets from various sources.
  • Optimize and manage databases (SQL/NoSQL) to ensure efficient data storage, retrieval, and manipulation for both structured and unstructured data.
  • Collaborate with data scientists, analysts, and engineers to integrate data from disparate sources and ensure smooth data flow between systems.
  • Implement and maintain data validation and monitoring processes to ensure data accuracy, consistency, and availability.
  • Automate repetitive data engineering tasks and optimize data workflows for performance and scalability.
  • Work closely with cross-functional teams to understand their data needs and provide solutions that help scale operations.
  • Ensure proper documentation of data engineering processes, workflows, and infrastructure for easy maintenance and scalability.

HiLabs focuses on improving healthcare by turning unstructured and often inaccurate data into useful insights for health insurance providers. Their data analytics solutions help health plans enhance member experiences and boost operational efficiency. HiLabs operates on a subscription-based model, offering customized data solutions that deliver immediate returns, referred to as Return On Intelligence (ROI). This emphasis on providing accurate and actionable data sets HiLabs apart from competitors in the healthcare data analytics market, with the goal of becoming a vital resource for health plans.

Company Size

201-500

Company Stage

Series B

Total Funding

$39M

Headquarters

Baltimore, Maryland

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • HiLabs' partnership with CAQH enhances its market position in provider data solutions.
  • Recognition in Gartner's Hype Cycle highlights HiLabs' innovation in healthcare data management.
  • Series B funding of $39 million supports HiLabs' expansion and product development.

What critics are saying

  • Increased competition from AI-driven startups may threaten HiLabs' market share.
  • Reliance on AI models poses risks of algorithmic bias affecting data accuracy.
  • Regulatory changes in data privacy could impose additional compliance costs on HiLabs.

What makes HiLabs unique

  • HiLabs specializes in transforming unstructured healthcare data into actionable insights.
  • The company offers AI-powered solutions for accurate provider data management.
  • HiLabs' business model focuses on subscription-based services and customized data solutions.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Vacation

Employee Stock Purchase Plan

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

-7%

1 year growth

13%

2 year growth

13%
PR Newswire
Nov 12th, 2024
Caqh And Hilabs Partner To Deliver Industry Leading Provider Data Solutions

Revolutionizing healthcare provider data with AI-powered accuracyWASHINGTON, Nov. 12, 2024 /PRNewswire/ -- CAQH, the leader in healthcare data management and HiLabs, a pioneer in cutting edge, AI-powered solutions, announce a transformative new partnership. This collaboration reflects CAQH's ongoing commitment to bringing stakeholders together to solve healthcare's toughest data challenges and HiLabs' mission to transform healthcare by cleaning data to unlock its hidden potential. CAQH and HiLabs have also agreed to exclusively go-to-market with an integrated data cleansing solution for provider data. By offering healthcare organizations clean, high-quality provider data, the partnership will improve consumer-facing provider directories, while enhancing overall healthcare operations and access to care

PR Newswire
Aug 15th, 2024
Hilabs Recognized In Three Categories In The 2024 Gartner® Hype Cycle™ For Us Healthcare Payers

BETHESDA, Md., Aug. 15, 2024 /PRNewswire/ -- HiLabs announced today that it was recognized in the 2024 Gartner® Hype Cycle™ for US Healthcare Payers. HiLabs was mentioned in three categories:Provider/Partner Network Management Platforms Provider Data Management LLMs for Healthcare PayersHiLabs believes that recognition in these three categories showcases how the universe of provider data management is evolving."AI is creating efficiencies for payers that were previously unattainable," says Amit Garg, HiLabs CEO and Co-founder. "When rosters become fully automated, and directory accuracy improves, it opens up a world of possibilities."In addition to cost savings, Garg also credits new advancements in AI technology, such as specialized large language models (LLMS), for increased innovation in the field.These advancements in provider data management capabilities come at a time when ghost networks created by provider directory inaccuracies are under increased public scrutiny. Given their impact on patient access to care, payers, providers, and regulators are actively working to fix them.Garg believes that HiLabs' inclusion in the 2024 Gartner® Hype Cycle™ for US Healthcare Payers highlights the new possibilities of AI technology in solving the provider data problem."The need for new solutions to help providers, payers, and regulators address the ghost network problem has existed for years. What changed is that we now have the ability to create these solutions," says Garg.Download the 2024 Gartner® Hype Cycle™ for US Healthcare Payers here.Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation

Hit Consultant
Jul 18th, 2024
Inaccurate Provider Directories: A Major Headache For Patients And Policymakers, Hilabs’ Ai Study Reveals

What You Should Know:– Incorrect data in health plan physician directories is a pervasive problem, according to new research conducted by researchers at University of Colorado and HiLabs.– The study, published in BMC Health Services Research, leverages HiLabs AI algorithms to compare data for >40% of US physicians across five large health plan directories.Key Findings:Limited variation in data quality between insurers suggests the issue goes beyond individual insurer practices.Physician practices, burdened with updating information across multiple platforms, contribute to the problem.Specialties like primary care and dermatology have higher data accuracy, potentially due to greater patient interaction.Considerable variation exists between states, with reasons unclear and requiring further investigation.The Impact:Patients can face delays in care due to incorrect contact information.Surprise billing can occur if a network-listed provider is out-of-network.Consumers struggle to compare health plans based on inaccurate provider listings.Proposed Solutions:Centralized Directory: The Centers for Medicare and Medicaid Services’ proposal for a unified national directory is an option, but challenges exist, including ensuring accuracy and requiring a major shift in data exchange practices.The Centers for Medicare and Medicaid Services’ proposal for a unified national directory is an option, but challenges exist, including ensuring accuracy and requiring a major shift in data exchange practices. National Standards: Establishing national standards for how provider information is exchanged could be a less disruptive solution.Establishing national standards for how provider information is exchanged could be a less disruptive solution. Engaging Physician Groups: Future policy solutions should involve both insurers and physician groups to improve data accuracy.International Comparisons:Many countries have centralized directories, but inaccuracies have been documented even in government-run systems.Australia’s recent launch of Provider Connect Australia (PCA) is a model to watch for its potential to improve data quality and access.The Takeaway:Inaccurate provider directories are a major problem in the US healthcare system. Novel policy solutions are needed to address this issue and ensure patients have reliable information to access the care they need.“We are proud to collaborate with University of Colorado researchers to use our AI for this important study,” said Amit Garg, CEO of HiLabs. “At HiLabs, we have seen tremendous interest from health plans in using AI algorithms to uncover provider directory inaccuracies in recent years and have seen substantial improvements in directory accuracy as a result.”For further information and to access the full study, please visit https://doi.org/10.1186/s12913-024-11269-5

PR Newswire
Jun 27th, 2024
Hilabs Study Featured In Medpac June 2024 Report To Congress Highlights Alarming Inconsistencies In Provider Directories

BETHESDA, Md., June 27, 2024 /PRNewswire/ -- HiLabs, a leader in AI-powered solutions for healthcare data management, is proud to announce that a study utilizing HiLabs technology and conducted by its Chief Medical Officer, Dr. Neel Butala, has been prominently featured in the Medicare Payment Advisory Commission's June report to Congress in its discussion of Medicare Advantage Provider Networks. The Medicare Payment Advisory Commission (MedPAC) is an independent congressional agency that advises the U.S. Congress on the Medicare program.The HiLabs study, initially published in the Journal of the American Medical Association (JAMA), highlights significant discrepancies in provider directories, raising concerns about the impact on patients' access to timely care. The study examined data from 449,282 U.S. physicians and found that 81% of provider entries had inconsistencies across five major health plans

Intelligence360
Apr 12th, 2024
Hilabs Has Raised $39,000,000.00 In Series B Funding.

HiLabs has raised $39,000,000.00 in Series B Funding. HiLabs has raised $39,000,000.00 in Series B Funding.HiLabs has raised $39,000,000.00 in new funding. Sources indicate that as part of senior management Chief Executive Officer, Amit Garg played a key role in securing the recent investment and it will aid in aggressively expanding the company, as well as broaden and accelerate product development.About HiLabsThe HiLabs leadership team is a group of multidisciplinary visionary industry leaders and professionals with extensive healthcare domain knowledge, experience, and acumen. They come from some of the world’s best universities, business schools, and engineering institutes including Harvard, Yale, Duke, Carnegie Mellon, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT).To learn more about HiLabs, visit http://www.hilabs.com/Contact:Amit Garg, Chief Executive Officer301-841-8080https://www.linkedin.com/in/connectamitgarg/SOURCE: http://www.intelligence360.ioCopyright (c) 2024 SI360 Inc. All rights reserved