General Dynamics Information Technology
Report Developer
United States · Remote
About this role
Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: NACI (T1) Job Family: Data Science and Data Engineering Job Qualifications: Skills: AWS Cloud Computing, Python (Programming Language), Scala (Programming Language), Spark Certifications: None Experience: 4 + years of related experience US Citizenship Required: No Job 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 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 WHAT YOU’LL NEED TO SUCCEED: Education: Bachelor’s degree required Required Experience : 4+ years of related experience as described below Minimum 2 years of Spark 3 years of experience with AWS services 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. 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 match Comprehensive health and wellness packages Internal mobility team dedicated to helping you own your career Professional growth opportunities including paid education and certifications Cutting-edge technology you can learn from Rest and recharge with paid vacation and holidays #GDITFedHealthJobs The 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: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional 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
Skills and categories
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