

Akkodis
Data Architect with Epic
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with Epic on a 36-month contract, remote with one day onsite in LA, CA. Pay is $70-75/hour. Requires 5–8+ years in data analytics, experience in financial services, and proficiency in SQL, ETL tools, and Python.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
April 28, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Yes
-
📍 - Location detailed
Los Angeles Metropolitan Area
-
🧠 - Skills detailed
#Data Processing #Tableau #ML (Machine Learning) #Azure #CRM (Customer Relationship Management) #Data Lake #Data Engineering #Data Pipeline #Automation #CMS (Content Management System) #Visualization #Microsoft Power BI #Data Transformations #Datasets #Databricks #Classification #Data Ingestion #Snowflake #Python #BI (Business Intelligence) #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Security #Strategy #SSIS (SQL Server Integration Services) #Scala #Data Architecture
Role description
Akkodis is seeking Data Architect with Epic for a 36-month Contract job with a client in LA, CA- Remote - (1 days onsite in a month’s). Ideally looking for applicants with a solid background in the financial services industry.
Pay: $70-75/hour – All Inclusive; The rate may be negotiable based on experience, education, geographic location, and other factors.
Must Have:
• Data Architect
• Business Intelligence
• Epic
• SQL
• SSIS
• Any ETL tools
This Analytics Engineer role operates at the intersection of data engineering, business intelligence, and applied AI, ensuring data solutions are accurate, governed, scalable, and aligned with organizational strategy.
Data Architecture & DataMart Development
Design and maintain analytic-ready datasets
Lead development of enterprise DataMarts (e.g., ODAG, Timeliness, Risk Adjustment)
Ensure alignment with standardized business definitions and CMS-driven logic
Partner with Managed Care, Finance, and Operations to stabilize and operationalize requirements
Data Pipeline & Data Lake Enablement
Build and optimize data pipelines leveraging Databricks and enterprise data platforms
Integrate data from multiple sources including Epic Clarity, Tapestry, claims, and external vendors
Support transformation, and validation of large-scale datasets (e.g., HEDIS, CMS files, lab data)
Automate data workflows to reduce manual intervention and improve reliability
Business Intelligence & Visualization
Develop and maintain Tableau and Power BI dashboards aligned to DSS standards
Enable self-service analytics by exposing curated datasets rather than one-off reports
AI & Advanced Analytics Enablement
Leverage Python for data transformation, automation, and advanced analytics workflows
Integrate LLM-based capabilities for summarization, classification, and insight generation (e.g., call center analytics, CRM insights)
Partner in developing AI-driven data products that enhance operational decision-making
Support transition toward automated data pipelines and AI-enriched datasets
Requirements –
5–8+ years of experience in data analytics, business intelligence, or data engineering within Epic healthcare, managed care, data environment
Proven experience designing and developing analytic-ready datasets and enterprise DataMarts supporting reporting and operational analytics
Hands-on experience working with data lake or modern data platforms such as Databricks, Azure Data Lake, or Snowflake
Strong experience developing and optimizing SQL-based data transformations across large, complex datasets
Demonstrated experience building dashboards and data visualizations using Tableau and/or Microsoft Power BI
Experience using Python for data processing, automation, and analytics workflows
Experience building and maintaining ETL/ELT pipelines, including data ingestion, transformation, and validation
Exposure to AI/ML or LLM-based use cases, including data summarization, classification, or insight generation
Experience working with healthcare data domains such as claims, enrollment, provider data, or electronic health records (Epic Clarity preferred)
Experience supporting regulatory or audit-driven reporting (e.g., CMS, HEDIS, Medicare Advantage)
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Aditya Singh at aditya.singh@akkodisgroup.com
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
· The California Fair Chance Act
· Los Angeles City Fair Chance Ordinance
· Los Angeles County Fair Chance Ordinance for Employers
· San Francisco Fair Chance Ordinance
Akkodis is seeking Data Architect with Epic for a 36-month Contract job with a client in LA, CA- Remote - (1 days onsite in a month’s). Ideally looking for applicants with a solid background in the financial services industry.
Pay: $70-75/hour – All Inclusive; The rate may be negotiable based on experience, education, geographic location, and other factors.
Must Have:
• Data Architect
• Business Intelligence
• Epic
• SQL
• SSIS
• Any ETL tools
This Analytics Engineer role operates at the intersection of data engineering, business intelligence, and applied AI, ensuring data solutions are accurate, governed, scalable, and aligned with organizational strategy.
Data Architecture & DataMart Development
Design and maintain analytic-ready datasets
Lead development of enterprise DataMarts (e.g., ODAG, Timeliness, Risk Adjustment)
Ensure alignment with standardized business definitions and CMS-driven logic
Partner with Managed Care, Finance, and Operations to stabilize and operationalize requirements
Data Pipeline & Data Lake Enablement
Build and optimize data pipelines leveraging Databricks and enterprise data platforms
Integrate data from multiple sources including Epic Clarity, Tapestry, claims, and external vendors
Support transformation, and validation of large-scale datasets (e.g., HEDIS, CMS files, lab data)
Automate data workflows to reduce manual intervention and improve reliability
Business Intelligence & Visualization
Develop and maintain Tableau and Power BI dashboards aligned to DSS standards
Enable self-service analytics by exposing curated datasets rather than one-off reports
AI & Advanced Analytics Enablement
Leverage Python for data transformation, automation, and advanced analytics workflows
Integrate LLM-based capabilities for summarization, classification, and insight generation (e.g., call center analytics, CRM insights)
Partner in developing AI-driven data products that enhance operational decision-making
Support transition toward automated data pipelines and AI-enriched datasets
Requirements –
5–8+ years of experience in data analytics, business intelligence, or data engineering within Epic healthcare, managed care, data environment
Proven experience designing and developing analytic-ready datasets and enterprise DataMarts supporting reporting and operational analytics
Hands-on experience working with data lake or modern data platforms such as Databricks, Azure Data Lake, or Snowflake
Strong experience developing and optimizing SQL-based data transformations across large, complex datasets
Demonstrated experience building dashboards and data visualizations using Tableau and/or Microsoft Power BI
Experience using Python for data processing, automation, and analytics workflows
Experience building and maintaining ETL/ELT pipelines, including data ingestion, transformation, and validation
Exposure to AI/ML or LLM-based use cases, including data summarization, classification, or insight generation
Experience working with healthcare data domains such as claims, enrollment, provider data, or electronic health records (Epic Clarity preferred)
Experience supporting regulatory or audit-driven reporting (e.g., CMS, HEDIS, Medicare Advantage)
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Aditya Singh at aditya.singh@akkodisgroup.com
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
· The California Fair Chance Act
· Los Angeles City Fair Chance Ordinance
· Los Angeles County Fair Chance Ordinance for Employers
· San Francisco Fair Chance Ordinance





