Codebase Inc

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with expertise in ETL tools (DBT, Fivetran, AWS Glue), SQL, and Python. It is a remote W2 position requiring experience in data warehousing, cloud platforms (Snowflake, AWS), and financial industry knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 21, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Engineering #Python #Fivetran #SAP #IICS (Informatica Intelligent Cloud Services) #BO (Business Objects) #Data Lake #"ETL (Extract #Transform #Load)" #Snowflake #GitLab #Physical Data Model #Redshift #Scripting #AWS (Amazon Web Services) #Data Warehouse #AWS Glue #Data Architecture #Business Objects #Data Design #Cloud #Agile #Public Cloud #Oracle #Data Integration #Informatica Cloud #Version Control #Data Integrity #SQL Server #SQL (Structured Query Language) #Databases #Informatica #dbt (data build tool) #Data Pipeline
Role description
Job Title: Sr. Data Engineer with ETL Tools (DBT, Fivetran, AWS Glue) along with SQL & Python Location : Remote (EST Support) Job Type: only W2 Job Description Experience in designing and building Data Warehouse and Data lakes. Good knowledge of data warehouse principles, and concepts. • Technical expertise working in large scale Data Warehousing applications and databases such as Oracle, Netezza and SQL Server. • Experience with public cloud-based data platforms especially Snowflake and AWS. Data integration skills: • Expertise in design and development of complex data pipelines • Solutions using any industry leading ETL tools such as IBM Data Stage, SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS) • Experience of ELT tools such as DBT, Fivetran, and AWS Glue for future state • Expert in SQL - development experience in at least one scripting language (Python etc.), adept in tracing and resolving data integrity issues. • Strong knowledge of data architecture, data design patterns, modeling, and cloud data solutions (Snowflake, AWS Redshift) • Data Model: Expertise in Logical and Physical Data Model using Relational or Dimensional Modeling practices, high volume ETL/ELT processes. • Performance tuning of data pipelines and DB Objects to deliver optimal performance • Experience in Gitlab version control and CI/CD processes • SDLC and Agile • Experience working in Financial Industry is a plus Best Regards, naveen@codebaseinc.com