Infobahn Softworld Inc

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Contract Data Engineer, focusing on a data migration initiative. Required are 3–5+ years of experience, strong SQL skills, proficiency in ETL tools, and familiarity with Data Warehousing platforms. Knowledge of cloud services is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, TX
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #REST (Representational State Transfer) #Data Pipeline #AWS (Amazon Web Services) #Data Architecture #Data Warehouse #GCP (Google Cloud Platform) #Python #Snowflake #Talend #Databases #Java #Informatica #Airflow #SQL (Structured Query Language) #Data Processing #Batch #Redshift #Teradata #Data Quality #dbt (data build tool) #Data Migration #Programming #Scala #Data Modeling #Migration #REST API #Cloud #API (Application Programming Interface) #BigQuery #Normalization #NoSQL #Azure #Datasets #Data Engineering
Role description
Software Engineer ( data) About the Role We are seeking a Contract Data Engineer to support a critical data migration initiative. The engineer will be responsible for analyzing large HDM (Hierarchical Data Models) tables, understanding their logic/code, and converting them into production-ready Data Warehouse (DW) tables. The primary objective is to decommission HDMs from our environment and ensure smooth integration into our enterprise DW platform. Scope of Work & Responsibilities • Review and analyze existing HDM tables and associated transformation logic. • Re-engineer HDM structures into optimized Data Warehouse tables. • Design and build automated ETL/ELT data pipelines for production. • Document transformation processes to ensure transparency and knowledge transfer • Collaborate with data architects and stakeholders to validate business requirements. • Ensure high data quality, consistency, and performance in migrated datasets. Required Skills & Experienc • eProven experience as a Data Engineer (3–5+ years) • .Strong SQL expertise with experience in handling large, complex data sets • .Hands-on experience with Data Warehousing platforms (Snowflake, Redshift, BigQuery, Teradata, or equivalent) • .Proficiency in ETL/ELT tools (Informatica, dbt, Airflow, Talend, etc.) • .Strong programming skills in Python/Scala/Java for data processing • .Experience building or contributing to REST API • sStrong hands-on experience with SQL and relational databases; familiarity with NoSQL databases is a plu • sPractical experience building, maintaining, or supporting data pipelines, ETL workflows, batch processing, or event-driven system • sExperience working with backend data flows, data transformation, and integration between services and data platform • sFamiliarity with distributed systems or asynchronous/event-driven architectures is a plu • sSolid understanding of data modeling concepts (star schema, dimensional modeling, normalization) .Nice to Have • :Prior experience with HDM systems and migration to modern DW • .Cloud platform knowledge (AWS/GCP/Azure) • .Experience in documenting and handing off data migration projects .