

AgreeYa Solutions
Senior Database Engineer – SSIS and Database
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Database Engineer – SSIS and Database in Westerville, OH, offering a contract position with a pay rate of "unknown." Requires 6-8 years of experience, strong SSIS, SQL, and ETL skills, and familiarity with Azure DevOps.
🌎 - Country
United States
💱 - Currency
Unknown
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 27, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Westerville, OH 43086
-
🧠 - Skills detailed
#Databases #DevOps #Python #"ETL (Extract #Transform #Load)" #SQL Server #Monitoring #Data Quality #Database Management #SSIS (SQL Server Integration Services) #Quality Assurance #Azure DevOps #Azure #Documentation #Deployment #Version Control #Database Performance #Data Analysis #Agile #Data Engineering #SQL (Structured Query Language) #BI (Business Intelligence) #Infrastructure as Code (IaC) #GIT #SQL Queries #Data Pipeline #MS SQL (Microsoft SQL Server)
Role description
Job Title: Senior Database Engineer – SSIS and Database
Job Location: Westerville, OH | Onsite 5 days a week
IT01
Description:
AgreeYa is a global Systems Integrator and is seeking an Senior Databaase Engineer – SSIS and Database to join our growing team. The role combines traditional data engineering with SSIS framework knowledge expertise with modern DevOps practices to build, maintain, and optimize our data infrastructure and pipelines. We are looking for an experienced Data Engineer who specializes in ETL processes, SSIS and SQL. The successful candidate will be responsible for designing, implementing, and maintaining robust data solutions while ensuring seamless deployment processes and providing technical support for data-related issues.
Job Responsibilities
Data Engineering & ETL Development
Design, develop, and maintain ETL processes using SSIS and SQL.
Build and optimize data pipelines to process structured and unstructured data
Develop automated data validation and quality assurance processes
Create and maintain data models, schemas, and database objects in MS SQL Server
Implement data transformation logic to support business intelligence and analytics requirements
Database Management & Optimization
Administer and optimize MS SQL Server databases for performance and reliability
Monitor database performance and implement tuning strategies
Design and implement data archiving and retention policies
Optimize SQL queries and stored procedures for enhanced performance
Technical Support & Troubleshooting
Provide Level 2/3 support for data-related issues
Investigate and resolve data quality issues, pipeline failures, and performance bottlenecks
Collaborate with business users to understand and resolve data discrepancies
Create and maintain comprehensive documentation for troubleshooting procedures
Establish monitoring and alerting systems for proactive issue identification
Collaboration & Communication
Work closely with data analysts, business intelligence developers, and business stakeholders
Participate in agile development processes and sprint planning
DevOps & CI/CD Implementation (Nice to have)
Design and implement CI/CD pipelines using Azure DevOps for data engineering projects
Automate deployment processes for SSIS packages, Python scripts, and database objects
Implement infrastructure as code practices for data platform components
Required Qualifications:
Technical Skills
SSIS: Strong experience with SQL Server Integration Services
ETL Development: Experience designing and implementing ETL processes
MS SQL Server: Strong experience with SQL Server performance tuning, and T-SQL development
Data Troubleshooting: Proven experience in diagnosing and resolving complex data issues
Familiarity with Git version control and branching strategies
Azure DevOps: Experience with Azure DevOps, including build/release pipelines, repositories, and work item tracking
CI/CD Pipelines: Strong experience designing and implementing automated deployment pipelines
Professional Requirements
6- 8 years of experience in data engineering or related roles
Strong analytical and problem-solving abilities
Excellent communication and documentation skills
Experience working in agile development environments
Ability to work independently and manage multiple priorities
AgreeYa is a global systems integrator delivering competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 2,200 staff across offices. AgreeYa works with 500+ organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public sector, Pharma & Biotech, and others. Please visit us at www.agreeya.com for more information.
AgreeYa is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, veteran status or other protected characteristics. Visit our website to learn about our Career & Culture.
Job Type: Contract
Benefits:
Dental insurance
Health insurance
Vision insurance
Work Location: In person
Job Title: Senior Database Engineer – SSIS and Database
Job Location: Westerville, OH | Onsite 5 days a week
IT01
Description:
AgreeYa is a global Systems Integrator and is seeking an Senior Databaase Engineer – SSIS and Database to join our growing team. The role combines traditional data engineering with SSIS framework knowledge expertise with modern DevOps practices to build, maintain, and optimize our data infrastructure and pipelines. We are looking for an experienced Data Engineer who specializes in ETL processes, SSIS and SQL. The successful candidate will be responsible for designing, implementing, and maintaining robust data solutions while ensuring seamless deployment processes and providing technical support for data-related issues.
Job Responsibilities
Data Engineering & ETL Development
Design, develop, and maintain ETL processes using SSIS and SQL.
Build and optimize data pipelines to process structured and unstructured data
Develop automated data validation and quality assurance processes
Create and maintain data models, schemas, and database objects in MS SQL Server
Implement data transformation logic to support business intelligence and analytics requirements
Database Management & Optimization
Administer and optimize MS SQL Server databases for performance and reliability
Monitor database performance and implement tuning strategies
Design and implement data archiving and retention policies
Optimize SQL queries and stored procedures for enhanced performance
Technical Support & Troubleshooting
Provide Level 2/3 support for data-related issues
Investigate and resolve data quality issues, pipeline failures, and performance bottlenecks
Collaborate with business users to understand and resolve data discrepancies
Create and maintain comprehensive documentation for troubleshooting procedures
Establish monitoring and alerting systems for proactive issue identification
Collaboration & Communication
Work closely with data analysts, business intelligence developers, and business stakeholders
Participate in agile development processes and sprint planning
DevOps & CI/CD Implementation (Nice to have)
Design and implement CI/CD pipelines using Azure DevOps for data engineering projects
Automate deployment processes for SSIS packages, Python scripts, and database objects
Implement infrastructure as code practices for data platform components
Required Qualifications:
Technical Skills
SSIS: Strong experience with SQL Server Integration Services
ETL Development: Experience designing and implementing ETL processes
MS SQL Server: Strong experience with SQL Server performance tuning, and T-SQL development
Data Troubleshooting: Proven experience in diagnosing and resolving complex data issues
Familiarity with Git version control and branching strategies
Azure DevOps: Experience with Azure DevOps, including build/release pipelines, repositories, and work item tracking
CI/CD Pipelines: Strong experience designing and implementing automated deployment pipelines
Professional Requirements
6- 8 years of experience in data engineering or related roles
Strong analytical and problem-solving abilities
Excellent communication and documentation skills
Experience working in agile development environments
Ability to work independently and manage multiple priorities
AgreeYa is a global systems integrator delivering competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 2,200 staff across offices. AgreeYa works with 500+ organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public sector, Pharma & Biotech, and others. Please visit us at www.agreeya.com for more information.
AgreeYa is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, veteran status or other protected characteristics. Visit our website to learn about our Career & Culture.
Job Type: Contract
Benefits:
Dental insurance
Health insurance
Vision insurance
Work Location: In person





