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Dbms Engineer Jobs (NOW HIRING)

CereCore

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Contract Contract Length: 12-months Position Summary The Data Engineer as part of the Data ... Experience with a variety of Database Management Systems (DBMS) especially Teradata, SQL Server ...

Saransh Inc

Stratus Software Engineer

Tampa, FL · On-site

Stratus Software Engineer Location: Tampa, FL (Day 1 Onsite) Job Type: Contract Must-Have ... Knowledge in SQL/Oracle/NoSQL Db or any other DBMS preferable. * Knowledge in payment domain is ...

Reinventing Geospatial (RGi)

DevOps Engineer

Herndon, VA · On-site

$54.25 - $74.25/hr

... s Engineer role involves planning, conducting, and coordinating agile software development ... Postgres DBMS, SQL, PL/SQL, UNIX/LINUX operating Systems, HTML, Selenium, JavaScript, EJB ...

Reinventing Geospatial (RGi)

DevOps Engineer

Herndon, VA · On-site

$54.25 - $74.25/hr

... Engineer to enhance situational awareness by integrating software development with geospatial ... Postgres DBMS, SQL, PL/SQL, UNIX/LINUX operating Systems, HTML, Selenium, JavaScript, EJB ...

Noblesoft Technologies

MSSQL Developer

Lake Saint Louis, MO · Remote

$46.25 - $63.50/hr

MSSQL Developer Location: St Louis, MO(Remote) * Design, develop, and maintain robust MSSQL Jobs ... Apply broad DBMS concepts to support data modeling, normalization, and schema design. * Develop ...

Arenatechnologies

Systems Engineer

Alexandria, VA · On-site

Group W is the developer and maintainer of the Synthetic Theater Operations Research Model (STORM ... Proficiencyin SQL database management systems (DBMS). * Active DoW Secret clearance. * Able to work ...

Total Quality Logistics

Senior Database Engineer

Tampa, FL · On-site

$100K - $136K/yr

The Database Engineer will be working closely with development teams during the design, development ... While the focus will be on SQL Server, expertise in MongoDB, Elasticsearch and other DBMS platforms ...

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All JobsDbms Engineer Jobs

Dbms Engineer information

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$59.5K

$111.6K

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How much do dbms engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for dbms engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Dbms Engineer jobs?

For Dbms Engineer jobs, the most frequently searched job titles are:

Data Engineer

Nashville, TN • On-site

CereCore
See more jobs at CereCoreexternal

$110K - $132K/yr

Contractor

Re-posted 12 days ago

Key responsibilities

  • Participate in the development and deployment of Data Warehouse and BI products aligned to business strategies.

  • Build governed data foundations for AI workflows, automation, dashboards, and decision support.

  • Work closely with cross-functional teams to convert manual processes and disconnected workflows into scalable data solutions.

Job description

Classification: Contract
Contract Length: 12-months

Position Summary

The Data Engineer as part of the Data Management and BI will participate in the development and deployment of Data Warehouse and BI products aligned to the business's strategic plans and the HBS Shared Services initiative. These resources will be embedded in product delivery pods supporting recruiting, onboarding, credentialing, contract automation, Flex Path, compensation, QGenda automation, and KPI reporting. The employee will build the governed data foundation required for AI-enabled workflows, automation, dashboards, decision support, and agent-assisted product delivery.

Responsibilities

  • Data Engineer as part of the Data Management and BI should be able to effectively communicate complex ideas to a diverse population, demonstrate a forward-looking perspective, and support tactical decision-making processes.
  • This role will work closely with Product Owners, App Developers, BI teams, Security, Responsible AI, Enterprise Architecture, business stakeholders, and other development teams.
  • The candidate should perform all duties with a focus on quality of work and attention to detail with a high level of self-management and self-awareness, while helping convert manual processes, spreadsheets, and disconnected workflows into governed, scalable data solutions.

Requirements

  • Specific expertise/experience in data acquisition, data cleansing, parsing, validation, reconciliation, lineage, and documentation required.
  • Specific expertise/experience in data analysis, modeling and visualization required.
  • Specific expertise/experience in data technologies such as Google BigQuery, Teradata Vantage, Oracle, SQL Server, or other DBMS.
  • Specific expertise/experience in the areas of data structures and data warehousing required.
  • Understanding of MicroStrategy, Business Objects, Power BI, or other Enterprise BI tools.
  • Strong experience implementing and overseeing data quality, governance, testing, validation, reconciliation, lineage, documentation, and change management processes
  • Specific expertise/experience with ETL/ELT and development tools such as Teradata Protocol Transport, SSIS, Python, PowerShell, and cloud data services
  • Specific expertise/experience building scalable pipelines, data models, curated datasets, and governed data products required.
  • Experience integrating multiple source systems and preparing data for AI agents, applications, automation workflows, dashboards, and reporting required.
  • Experience with GCP, Python, MS SQL Server, Teradata, and BI platforms preferred.
  • Knowledge of Clinical and Financial Applications.
  • Knowledge of EMR or Practice Management Systems such as E-Clinical Works, Epic, GE Centricity, NextGen, etc.
  • Articulates existing system structure, constraints and deficiencies with product to development, customer engagement, architecture and support teams
  • Contributes to technology option discussions and decisions for a product
  • Pursues new methods and solutions, thinks outside the box, connects disparate ideas, is comfortable using unorthodox methods
  • Experience with a variety of Database Management Systems (DBMS) especially Teradata, SQL Server, Oracle, Netezza, etc.
  • Healthcare/provider lifecycle experience preferred, including recruiting, onboarding, credentialing, contract automation, QGenda scheduling, compensation, Flex Path, and KPI reporting.
  • Experience with AI, automation, agentic workflows, or decision-support products preferred.
  • Experience supporting agentic delivery models across business-outcome product pods