AWS Cloud Data Engineer
Job title: AWS Cloud Data Engineer in Indianapolis, IN at United Global Technologies
Company: United Global Technologies
Job description: Job Description:Hybrid preferred but 100% remote is fine until conversion then Hybrid one day a week onsite.
Public Trust Clearance eligible in addition to standard background check
Cloud Data engineer- support AWS cloud- government CMS- New process not legacy-Drugs and pharmacy claims, massive data movement- ETL (Glue AWS, scripting Python or AWS tools orchestration of data processes) "Data engineers engineer"2-3 years minimum and this year is initial length of contractETL Cloud heavy, some PowerBI helpful, analytics and reporting-ETL SQL experience data cleansing, validity- data flows, validation, data SLA, reporting of such- buildingPayment processing is what they are doing.Backfill-Claim processing is extremely preferred-AWS expertise is needed for this role.Skills, Capabilities and Experiences:
Over 5 years of experience in designing, developing, testing, and implementing enterprise ETL solutions, as well as process automation and orchestration.
Proficiency with cloud data processing platforms and technologies, including AWS data pipeline toolsets.
Expertise in data process orchestration and the design and development of near-real-time and batch data pipelines.
Skilled in programming languages such as Python, Scala, SQL, R, and T-SQL.
Ability to analyze, troubleshoot, and optimize SQL queries, with the capability to recommend improvements.
Experience in analyzing and monitoring data processing resources, implementing proactive alerts and notifications based on SLAs.
Possession of relevant certifications in data engineering/development platforms and related technologies.
Experience in the healthcare claims processing industry with an understanding of data security and privacy considerations.
Strong critical thinking and problem-solving skills.
Key Responsibilities:
Design and develop scalable cloud data pipelines using AWS technologies, such as AWS Glue, for extracting, transforming, and loading (ETL) data from various sources into data lakes or warehouses.
Create and maintain data models to support efficient querying and reporting, ensuring data integrity and consistency.
Integrate data from multiple sources, including relational databases, APIs, and unstructured data, to provide a unified view for analysis.
Develop interactive dashboards and reports in Microsoft Power BI to present data insights to stakeholders and facilitate informed decision-making.
Optimize ETL processes and Power BI reports for performance, ensuring data availability and responsiveness.
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions that meet business needs.
Demonstrate proficiency in SQL and scripting languages such as Python or Scala.
Build data visualizations to effectively illustrate trends, patterns, and outliers.
Monitor and refine data pipelines and visualization tools to meet SLAs and delivery expectations.
Provide timely updates to customers, business units, and staff regarding projects and tasks.
Conduct proactive data reviews to ensure the quality and accuracy of reporting solutions.
Ensure data processing and storage operations are conducted efficiently and in compliance with security guidelines.
Estimated dates: 06/16/2025 start to 06/01/2026 end; likely to extend and/or convert temp-hire after the temp work is completed
Schedule: Monday-Friday, 7:00 am to 6:00 pm EST (Flexible timeframe)
Open to candidates working remotely while on contract, but if they convert temp-hire, there will be a HYBRID requirement to work in the office (frequency TBD at that time). Therefore, candidates must reside/work from 50 miles of an NGS office or PulsePoint location. NGS offices in the following locations:
Indianapolis, IN
Denison, TX
Baltimore, MD
Harrisburg, PA
Syracuse, NY
Portland, ME
Hingham, MA
Expected salary:
Location: Indianapolis, IN
Apply for the job now!
Apply Now
Company: United Global Technologies
Job description: Job Description:Hybrid preferred but 100% remote is fine until conversion then Hybrid one day a week onsite.
Public Trust Clearance eligible in addition to standard background check
Cloud Data engineer- support AWS cloud- government CMS- New process not legacy-Drugs and pharmacy claims, massive data movement- ETL (Glue AWS, scripting Python or AWS tools orchestration of data processes) "Data engineers engineer"2-3 years minimum and this year is initial length of contractETL Cloud heavy, some PowerBI helpful, analytics and reporting-ETL SQL experience data cleansing, validity- data flows, validation, data SLA, reporting of such- buildingPayment processing is what they are doing.Backfill-Claim processing is extremely preferred-AWS expertise is needed for this role.Skills, Capabilities and Experiences:
Over 5 years of experience in designing, developing, testing, and implementing enterprise ETL solutions, as well as process automation and orchestration.
Proficiency with cloud data processing platforms and technologies, including AWS data pipeline toolsets.
Expertise in data process orchestration and the design and development of near-real-time and batch data pipelines.
Skilled in programming languages such as Python, Scala, SQL, R, and T-SQL.
Ability to analyze, troubleshoot, and optimize SQL queries, with the capability to recommend improvements.
Experience in analyzing and monitoring data processing resources, implementing proactive alerts and notifications based on SLAs.
Possession of relevant certifications in data engineering/development platforms and related technologies.
Experience in the healthcare claims processing industry with an understanding of data security and privacy considerations.
Strong critical thinking and problem-solving skills.
Key Responsibilities:
Design and develop scalable cloud data pipelines using AWS technologies, such as AWS Glue, for extracting, transforming, and loading (ETL) data from various sources into data lakes or warehouses.
Create and maintain data models to support efficient querying and reporting, ensuring data integrity and consistency.
Integrate data from multiple sources, including relational databases, APIs, and unstructured data, to provide a unified view for analysis.
Develop interactive dashboards and reports in Microsoft Power BI to present data insights to stakeholders and facilitate informed decision-making.
Optimize ETL processes and Power BI reports for performance, ensuring data availability and responsiveness.
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions that meet business needs.
Demonstrate proficiency in SQL and scripting languages such as Python or Scala.
Build data visualizations to effectively illustrate trends, patterns, and outliers.
Monitor and refine data pipelines and visualization tools to meet SLAs and delivery expectations.
Provide timely updates to customers, business units, and staff regarding projects and tasks.
Conduct proactive data reviews to ensure the quality and accuracy of reporting solutions.
Ensure data processing and storage operations are conducted efficiently and in compliance with security guidelines.
Estimated dates: 06/16/2025 start to 06/01/2026 end; likely to extend and/or convert temp-hire after the temp work is completed
Schedule: Monday-Friday, 7:00 am to 6:00 pm EST (Flexible timeframe)
Open to candidates working remotely while on contract, but if they convert temp-hire, there will be a HYBRID requirement to work in the office (frequency TBD at that time). Therefore, candidates must reside/work from 50 miles of an NGS office or PulsePoint location. NGS offices in the following locations:
Indianapolis, IN
Denison, TX
Baltimore, MD
Harrisburg, PA
Syracuse, NY
Portland, ME
Hingham, MA
Expected salary:
Location: Indianapolis, IN
Apply for the job now!
Apply Now