Intellectt Inc

Data Engineer with Data Modeling

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Data Modeling, remote for a contract length of "unknown". Pay rate is "unknown". Key skills include Data Modeling, SQL, ETL/ELT tools, and cloud platforms. Experience in data warehousing and big data technologies is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 16, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New Jersey, United States
-
🧠 - Skills detailed
#Data Governance #Compliance #Data Quality #GCP (Google Cloud Platform) #dbt (data build tool) #Security #Oracle #MySQL #Big Data #Data Engineering #Informatica #Data Warehouse #"ETL (Extract #Transform #Load)" #Scala #Talend #BI (Business Intelligence) #SQL (Structured Query Language) #SQL Server #AWS (Amazon Web Services) #PostgreSQL #SQL Queries #Databases #Spark (Apache Spark) #Physical Data Model #Azure #Hadoop #Airflow #Data Lake #Data Modeling #Data Science #Cloud #Snowflake
Role description
Role: Data Engineer – Data Modeling Location: Remote Job Summary We are seeking a skilled Data Engineer with strong Data Modeling expertise to design, build, and maintain scalable data solutions. The ideal candidate will work closely with analytics, data science, and business teams to ensure data is reliable, well-structured, and optimized for reporting and advanced analytics. Key Responsibilities • Design and implement conceptual, logical, and physical data models • Build and maintain ETL/ELT pipelines for structured and semi-structured data • Develop and optimize data warehouses and data lakes • Ensure data quality, integrity, and performance across platforms • Collaborate with stakeholders to translate business requirements into data models • Optimize SQL queries and data structures for performance and scalability • Implement data governance, security, and compliance standards • Support analytics, BI, and downstream data consumers Required Skills & Qualifications • Strong experience as a Data Engineer • Hands-on expertise in Data Modeling (Star Schema, Snowflake, 3NF) • Proficiency in SQL and relational databases (PostgreSQL, MySQL, SQL Server, Oracle) • Experience with ETL/ELT tools (Airflow, dbt, Informatica, Talend, etc.) • Knowledge of data warehousing concepts • Experience working with cloud platforms (AWS, Azure, or GCP) • Familiarity with big data technologies (Spark, Hadoop – preferred) • Understanding of data governance and best practices