Senior Database Engineer– Hybrid-Baltimore MD

Senior Database Engineer– Hybrid-Baltimore MD About us Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II. Join us in driving growth and seizing new business opportunities. Role and Responsibilities We are seeking Senior Database Management Specialists with strong experience in designing, developing, maintaining, and optimizing complex databases (PostgreSQL, MongoDB) in cloud environments. This role involves supporting critical systems like Maryland Health Connection, with a focus on data integrity, performance, security, and cost-efficiency. Database Architecture & Design : Lead the design, development, and maintenance of complex enterprise databases, data lakes, and data warehouses, including data modelling, schema design, and security architecture. Data Platform Management : Administer, monitor, and optimize performance for PostgreSQL and MongoDB databases, ensuring high availability, replication, and disaster recovery. This includes managing user accounts, patching, and storage. ETL & Data Strategy : Design, develop, and support robust ETL processes for extracting, transforming, and loading complex data into various data stores. Provide innovative ideas for data extraction, sharing, and overall data strategy. Cloud & Automation : Automate end-to-end operations of databases and applications in AWS Cloud. Develop standards and scripts for monitoring, alerting, and performance metrics (SLAs). Performance & Troubleshooting : Proactively monitor and analyse database and application tier performance, troubleshoot errors, debug, and implement corrective measures. Data Quality & Governance : Implement data quality checks, validation rules, and metadata management, ensuring adherence to data governance principles and unique health insurance marketplace requirements. Security Hardening : Evaluate and perform security hardening on PostgreSQL and MongoDB, focusing on access control, authorizations, OS configurations, and file system encryption. Migration & Testing : Design and implement data migration plans (including PostgreSQL and MongoDB between data centres and AWS). Provide data-related support for all system testing efforts (unit, load, E2E, UAT). Collaboration & Compliance : Work collaboratively with cross-functional teams (developers, analysts, stakeholders) to define and implement enterprise data architectures. Adhere strictly to all security, change control, and MHBE PMO policies and methodologies. Minimum Qualification A minimum of six (6) years of experience designing databases, queries, reports, and / or providing solutions for large-scale enterprise database requirements. A minimum of four (4) years of experience in a complex environment building complex data extractions, queries, or databases utilizing PostgreSQL, Informatica, and MongoDB. A minimum of four (4) years of experience with tools such as Bamboo, Jenkins, Maven, Bitbucket, Jira, GIT, etc. A minimum of four (4) years of experience in document management systems. A minimum of four (4) years of experience with supporting applications in a Cloud infrastructure on AWS (Amazon Web Services) and computing AMI virtual machines on Elastic Compute Cloud (EC2), continuous integration (CI), and Continuous deployment (CD) processes. A minimum of four (4) years of experience monitoring production database activities and batch jobs for operational improvements. A minimum of two (2) years of experience in large-volume database migration efforts. A minimum of four (4) years of experience in PostgreSQL Server database administration, patch management, maintenance, and / or writing complex SQL codes, stored procedures, and performing data extractions. A minimum of four (4) years of hands-on experience with performing database maintenance activities in production and / or lower environments. Experience with supporting installation and maintenance of databases for high availability. Strong understanding of database architecture and design, including normalization, indexing, partitioning, and replication. Experience managing and optimizing large databases, including performance tuning and capacity planning. Experience in data modeling, ETL processes, and data warehousing. Experience in SQL complex queries and batch performance optimizations. Preferred Qualifications A minimum of five (5) years of experience as a database expert or equivalent designing, developing, performing data extractions, developing reports, and / or supporting federal or state-based marketplace systems or complex health and human services systems or applications. A minimum of five (5) years of experience with processing EDI transaction sets such as 834, 820, 999, etc. A minimum of four (4) years of experience working with 270 / 271 Health Care Eligibility Benefit Inquiry and Response transactions. A minimum of four (4) years of experience working with complex databases, systems, and applications hosted on Amazon Web Services (AWS). A minimum of four (4) years of experience in developing and implementing best practices, data fixes for database issues, and problems found during performance tuning of PostgreSQL DB and MongoDB. Experience with or strong knowledge of disaster recovery principles and practices, including planning and validating backup and restoring database backups in production and lower environments. A minimum of five (5) years of experience with Integrated Eligibility, Affordable Care Act, or similar large Health and Human Service enterprise level Applications. Strong knowledge of Corticon implementations catering to complex business rules. Experience optimizing large databases, including performance tuning through complex SQL queries and capacity planning. Experience in data modelling, ETL processes, and EDI transaction sets. Hands-on experience with PostgreSQL, MongoDB, and SQL complex queries designing, developing, and maintaining large-scale databases, developing complex reports or data extractions. Experience with NoSQL database or equivalent, as well as experience in analytics tools such as Tableau, QlikSense, or Power BI. Familiarity with the operations of a Health Insurance Exchange (HIX) marketplace, including knowledge of healthcare policies, benefits packages, plan design, eligibility, and enrolment processes and understanding the unique data requirements and challenges of this industry. Experience working closely with business stakeholders and other data professionals to establish governance policies and procedures, monitor compliance, and implement data quality checks and controls. Experience in developing and maintaining a data dictionary or metadata repository and data governance program to align with best practices and regulatory requirements. Experience working with the Project Management Office (PMO) processes, policies, and procedures.