CBTS

Data Engineer I(no Third Party, Only W2)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer I, contract length unspecified, offering $38-$40/hour. Requires 1+ years in Reporting or Data Engineering and SQL. Key skills include dbt, IBM DataStage, Power BI, ETL/ELT, and Agile methodologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
320
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🗓️ - Date
June 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#BI (Business Intelligence) #Data Engineering #Compliance #dbt (data build tool) #Data Pipeline #Version Control #Security #Data Quality #SQL (Structured Query Language) #Documentation #AI (Artificial Intelligence) #Snowflake #DataStage #"ETL (Extract #Transform #Load)" #Data Management #Microsoft Power BI #Agile #Data Transformations #Data Ingestion #SQL Queries
Role description
Job Description: Pay Rate: $38/hour - $40/hour Must Have: • 1+ years Reporting or Data Engineering experience • 1+ years SQL experience Job Description: • Build and maintain simple data pipelines with guidance (dbt, IBM DataStage, M365 Power Platform) • Write SQL queries and perform basic data transformations (DB2, Snowflake) • Support data ingestion, validation, and loading processes - ETL/ELT • Maintain and update Power BI reports, including refreshing data, troubleshooting issues, and making minor enhancements to visuals and dashboard. • Use generative AI tools to automate routine tasks, accelerate development, and improve productivity in data engineering workflows • Troubleshoot pipeline and data issues with team support • Apply data quality checks and assist with data validation • Follow data management practices (lineage, documentation, data dictionaries) • Work within SDLC processes (version control, CI/CD, change management) - Agile Development • Complete assigned development tasks in agile sprints • Write clean, testable, and reusable code • Perform basic testing (unit/integration) and help reduce defects • Collaborate with team members and participate in agile ceremonies • Document data flows, logic, and technical work • Learn FDIC business context and how data supports the FDIC Program • Follow governance, security, and compliance standards