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Report Developer

GDIT

Report Developer

full-timePosted: Sep 1, 2026Updated: Sep 2, 2026Any Location / Remote (Remote)

Job Description

Type of Requisition:RegularClearance Level Must Currently Possess:NoneClearance Level Must Be Able to Obtain:NonePublic Trust/Other Required:NACI (T1)Job Family:Data Science and Data EngineeringJob Qualifications:Skills:AWS Cloud Computing, Python (Programming Language), Scala (Programming Language), SparkCertifications:NoneExperience:4 + years of related experienceUS Citizenship Required:NoJob Description:Seize your opportunity to make a personal impact as a Report Developer supporting the Department of Health and Human Services Centers for Medicare and Medicaid Services (CMS) Unified Case Management (UCM). GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. HOW YOU WILL MAKE AN IMPACT:Utilize Spark and AWS cloud – including retrieving data from S3/ Postgres SQL, setting up triggers to put in notifications and step functionsDesign and implement cloud-based BI and data reporting solutions using AWS to support enterprise analyticsBuild data pipelines and workflows to integrate data from multiple sources into centralized BI platformPerformance tuning, working in big data environments, and AWS IAM concepts are all needed skillsHands-on expertise with SAP Business objects(BO) and Power BI and solid understanding of BI reporting.Solid understanding of data warehousing concepts, ETL processes and SQL scriptingOptimizing BI solutions for performance, scalability and usabilityStrong analytic thinking and problem -solving skills with attention to data accuracy and visualization ion design WHAT YOU’LL NEED TO SUCCEED:Education: Bachelor’s degree requiredRequired Experience: 4+ years of related experience as described belowMinimum 2 years of Spark3 years of experience with AWS servicesRequired Technical Skills: Building complex workflow to move data; Business Intelligence (BI) reports development using Business Objects (BO) and Power BI, Performance tuning, working in big data environments and AWS IAM concepts. Experience with Big Data – i.e.S3, Snowflake, Databricks, etc.Required Skills and Abilities: Good customer service and communication skills, to include presenting to all levels of leadership; Must have good problem-solving skills; Experience with the Agile framework Preferred Experience and Skills: Scala and Python experience;Prior experience in a CMS environment with Fraud, Waster& Abuse (FWA) and associated data; ​Location: Remote 100%Clearance: Requires ability to pass a CMS background check and meet the residency requirement of having lived in the U.S. at least three (3) out of the last five (5) years in order to to obtain and maintain a Public Trust.Working Hours: 40 hours per week, available within the core hours of Monday-Friday 9am to 5pm EST.** Work visa sponsorship will not be provided for this position **GDIT IS YOUR PLACE: 401K with company matchComprehensive health and wellness packagesInternal mobility team dedicated to helping you own your careerProfessional growth opportunities including paid education and certificationsCutting-edge technology you can learn fromRest and recharge with paid vacation and holidays#GDITFedHealthJobsThe likely salary range for this position is $87,550 - $118,450. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Scheduled Weekly Hours:40Travel Required:Less than 10%Telecommuting Options:RemoteWork Location:Any Location / RemoteAdditional Work Locations:Total Rewards at GDIT:Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. Our Identity Verification Process:As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. About Our Work:We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc.Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Locations

  • Any Location / Remote (Remote)

Salary

87,550 - 118,450 USD / yearly

Skills Required

  • AWS servicesintermediate
  • Big Data – iintermediate
  • Agile frameworkintermediate
  • CMS environment with Fraudintermediate

Required Qualifications

  • Education: Bachelor’s degree required (degree)
  • Required Experience: 4+ years of related experience as described below (experience, 4 years)
  • Minimum 2 years of Spark (experience, 2 years)
  • 3 years of experience with AWS services (experience, 3 years)
  • Required Technical Skills: Building complex workflow to move data; Business Intelligence (BI) reports development using Business Objects (BO) and Power BI, Performance tuning, working in big data environments and AWS IAM concepts. Experience with Big Data – i.e.S3, Snowflake, Databricks, etc. (experience)
  • Required Skills and Abilities: Good customer service and communication skills, to include presenting to all levels of leadership; Must have good problem-solving skills; Experience with the Agile framework (experience)

Preferred Qualifications

  • Scala and Python experience; (experience)
  • Prior experience in a CMS environment with Fraud, Waster& Abuse (FWA) and associated data; (experience)
  • ​Location: Remote 100% (experience)
  • Clearance: Requires ability to pass a CMS background check and meet the residency requirement of having lived in the U.S. at least three (3) out of the last five (5) years in order to to obtain and maintain a Public Trust. (experience)
  • Working Hours: 40 hours per week, available within the core hours of Monday-Friday 9am to 5pm EST. (experience)

Responsibilities

  • Utilize Spark and AWS cloud – including retrieving data from S3/ Postgres SQL, setting up triggers to put in notifications and step functions
  • Design and implement cloud-based BI and data reporting solutions using AWS to support enterprise analytics
  • Build data pipelines and workflows to integrate data from multiple sources into centralized BI platform
  • Performance tuning, working in big data environments, and AWS IAM concepts are all needed skills
  • Hands-on expertise with SAP Business objects(BO) and Power BI and solid understanding of BI reporting.
  • Solid understanding of data warehousing concepts, ETL processes and SQL scripting
  • Optimizing BI solutions for performance, scalability and usability
  • Strong analytic thinking and problem -solving skills with attention to data accuracy and visualization ion design

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