eTeam

IT Data and Analytics Contractor

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an IT Data and Analytics Contractor in Cuyahoga Falls, OH, for 12 months at a competitive pay rate. Requires a Bachelor's degree, 7 years of data engineering experience, advanced SQL skills, and expertise with ETL tools and legacy data environments.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
520
-
πŸ—“οΈ - Date
August 15, 2026
πŸ•’ - Duration
More than 6 months
-
🏝️ - Location
On-site
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Cuyahoga Falls, OH
-
🧠 - Skills detailed
#Data Transformations #Data Integration #Data Pipeline #Data Quality #Complex Queries #Informatica #Migration #Data Engineering #"ETL (Extract #Transform #Load)" #Scala #SQL Server #Documentation #Database Design #Computer Science #SSIS (SQL Server Integration Services) #SQL (Structured Query Language) #Data Accuracy
Role description
Job Title:Β IT Data and Analytics Contractor Location:Β Cuyahoga Falls OHΒ 44223 Duration: 12 months on contract with possible extension Core Responsibilities: β€’ Analyze and reverse-engineer existing legacy data flows β€’ Design and build new, streamlined data pipelines using SQL Server and existing ETL tools β€’ Migrate and transform data from legacy systems into more modern structures β€’ Validate data accuracy and ensure integrity during migration β€’ Partner with business and technical teams to understand data usage and dependencies Qualifications: β€’ Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience) β€’ 7 years of experience in data engineering, data integration, or related roles β€’ Advanced proficiency in SQL, including complex query development, performance tuning, and large-scale data transformations β€’ Strong experience working with SQL Server environments, including database design, optimization, and administration concepts β€’ Hands-on experience with ETL tools such as SSIS, DTS, Informatica, or comparable platforms β€’ Proven experience working within and modernizing legacy data environments, including mainframe or highly customized systems β€’ Demonstrated ability to analyze, reverse-engineer, and document undocumented or poorly documented data flows β€’ Experience designing and implementing scalable data pipelines and migration strategies β€’ Strong understanding of data validation, reconciliation, and data quality best practices β€’ Ability to work independently and take ownership in ambiguous, complex environments with limited documentation Required Skills: β€’ Strong SQL skills (this is a must - including complex queries, performance tuning, and data transformation) β€’ Experience working with SQL Server environments β€’ Hands-on experience with ETL tools (SSIS, DTS, Informatica, or similar) β€’ Experience working in and modernizing legacy data environments β€’ Ability to work independently in environments with limited documentation