Database Developer, Senior
Listed on 2026-06-06
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IT/Tech
Data Engineer
Acentra Health exists to empower better health outcomes through technology, services, and clinical expertise. Our mission is to innovate health solutions that deliver maximum value and impact.
Lead the Way is our rallying cry at Acentra Health. Think of it as an open invitation to embrace the mission of the company; to actively engage in problem‑solving; and to take ownership of your work every day. Acentra Health offers you unparalleled opportunities. In fact, you have all you need to take charge of your career and accelerate better outcomes – making this a great time to join our team of passionate individuals dedicated to being a vital partner for health solutions in the public sector.
Job Summary and ResponsibilitiesAcentra Health is looking for a Database Developer, Senior to join our growing team.
Job Summary:We are looking for a highly motivated Database Developer, Senior to join our team in developing a cutting‑edge Unified Data Platform (UDP) leveraging the power of AWS. In this role, you will design and deploy robust, scalable ETL pipelines and data workflows that enable seamless integration, transformation, and accessibility of enterprise data assets.
You’ll lead the development of cloud‑native solutions using key AWS services such as DMS, Glue, Lambda, S3, Redshift, and EC2, while ensuring cost‑efficiency, reliability, and optimized performance. Your expertise in PL/SQL development and relational data modeling will be essential in supporting complex transactional and analytical use cases within a large‑scale data environment.
This is a highly collaborative position that will see you partnering with cross‑functional teams to drive system testing, application integration, and continuous platform enhancements. As a champion of data integrity, governance, and regulatory compliance (e.g., HIPAA).
Position is remoteJob Responsibilities:
- Design, develop, and maintain PL/SQL packages, procedures, functions, triggers, and views.
- Write efficient SQL queries for data extraction, transformation, and reporting purposes.
- Ensure database performance optimization, query tuning, and troubleshooting.
- Design and deploy scalable ETL pipelines on AWS using services such as DMS, Glue, Lambda, S3, and Redshift.
- Ingest and process UDP‑based data sources via EC2 instances or containerized ingestion services.
- Configure and optimize AWS infrastructure for performance, reliability, and cost‑effectiveness.
- Design and optimize relational database schemas for scalability and normalization.
- Build and schedule robust ETL jobs and data workflows using cron or enterprise orchestration tools.
- Develop and support integration of disparate data sources (flat files, third‑party databases).
- Conduct data validation and cleansing operations to ensure accuracy and completeness.
- Troubleshoot and resolve data quality issues across systems.
- Support SIT, UAT, and performance testing of Unified Data Platform (UDP).
- Work autonomously within well‑defined system design frameworks to implement Unified Data Platform (UDP) components.
- Collaborate with development and business analysis teams to understand functional and technical design.
- Participate in code review sessions and implement feedback for quality improvements.
- Perform impact and gap analysis in response to system software changes.
- Lead Proof of Concepts (PoCs) and support new project initiatives from inception to deployment.
- Maintain technical documentation, coding standards, and system architecture artifacts.
- Ensure compliance with industry regulations and internal governance policies (e.g., HIPAA).
- Communicate technical impacts, root cause findings, and resolutions effectively to leadership.
- Read, understand, and adhere to all corporate policies including those related to HIPAA and its Privacy and Security Rules.
Required Qualifications /Experience
- Bachelor’s degree in computer science, Information Systems, or related field.
- A minimum 7 years of experience with PL/SQL development, performance tuning, troubleshooting, and working with large datasets in RDBMS.
- Solid foundation in relational schema design, indexing strategies, and scalable architecture.
- Skilled in applying data validation,…
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