

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
.
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
.





