INA Solution

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (ETL) in Carmel, IN (Hybrid) with a contract duration of over 6 months, offering competitive pay. Key skills required include SQL, ETL/ELT, Python, and data modeling, with 3–7 years of relevant experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
613
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🗓️ - Date
August 13, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Carmel, IN
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🧠 - Skills detailed
#Data Quality #Security #Data Transformations #Computer Science #Scala #Datasets #BI (Business Intelligence) #Metadata #Documentation #Data Engineering #Data Modeling #Data Analysis #Data Lake #Complex Queries #Data Integration #Monitoring #Scripting #Data Pipeline #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Automation #Python #Data Warehouse
Role description
Job Title: Data Engineer – ETL (Must be USC/GC on W2) Location: Carmel, IN (Hybrid) Employment Type: [Full-Time/Contract] Position Summary: We are seeking a Data Engineer to design, develop, and maintain reliable data pipelines, data models, transformations, and curated datasets that support reporting, analytics, integrations, and business decision-making. The ideal candidate will have strong hands-on experience with SQL, ETL/ELT, Python, data modeling, and data integration. You will work closely with Data Analysts, BI teams, application teams, and other stakeholders to ensure data is accurate, accessible, scalable, and reliable. Required Qualifications • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or equivalent practical experience. • 3–7 years of experience in data engineering, database development, BI engineering, integrations, or software development. • Strong hands-on SQL development skills, including complex queries, data transformations, stored procedures, and performance tuning. • Experience developing and supporting ETL/ELT data pipelines. • Experience with Python or similar scripting languages for data transformation, automation, validation, or integration. • Understanding of relational data modeling, dimensional modeling, data warehouses, data lakes, and lakehouse concepts. • Experience troubleshooting data pipeline failures, data quality issues, integration problems, and performance bottlenecks. • Understanding of data validation, testing, monitoring, security, access control, metadata, and technical documentation.