Data Engineer

We are seeking a skilled Data Engineer to support a critical enterprise data migration initiative. This role will focus on analyzing existing Hierarchical Data Models (HDM), understanding complex transformation logic, and converting them into scalable, production-ready Data Warehouse (DW) solutions. The ideal candidate will have strong expertise in data engineering, ETL/ELT development, data warehousing, and backend data processing, with the ability to work closely with architects and business stakeholders to ensure successful migration and modernization of enterprise data assets. Job Details Job Title: Data Engineer Location: Austin, TX (Hybrid) Contract Duration: Through End of Year (Possible Extension) Rate Range: $55-$70/hr on W2 Only W2 Candidates Responsibilities Analyze existing HDM tables and associated transformation logic. Re-engineer HDM structures into optimized and scalable Data Warehouse tables. Design, develop, and maintain automated ETL/ELT pipelines for production environments. Build and support backend data processing workflows, integrations, and transformation pipelines. Develop and contribute to REST APIs supporting data services and integrations. Collaborate with Data Architects, Product Teams, and Business Stakeholders to validate requirements and ensure successful implementation. Ensure high data quality, consistency, scalability, and performance across migrated datasets. Create detailed technical documentation and support knowledge transfer activities. Support data migration efforts from legacy systems to modern enterprise data platforms. Required Qualifications 3–5+ years of experience as a Data Engineer. Strong expertise in SQL with experience working on large-scale and complex datasets. Hands‑on experience with modern Data Warehouse platforms such as Snowflake, Redshift, BigQuery, Teradata, or equivalent. Experience with ETL/ELT tools including DBT, Airflow, Informatica, Talend, or similar technologies. Strong programming skills in Python, Scala, or Java for data processing and automation. Experience building or contributing to REST APIs. Strong understanding of relational databases and SQL optimization techniques. Experience with backend data flows, ETL workflows, batch processing, and event‑driven architectures. Knowledge of data modeling concepts including Star Schema, Dimensional Modeling, and Normalization. Strong analytical, troubleshooting, and problem‑solving skills. Excellent communication and stakeholder collaboration abilities. Preferred Qualifications Experience working with HDM systems and migrations to modern Data Warehouse platforms. Knowledge of cloud platforms including AWS, Azure, or GCP. Experience documenting and handing off large‑scale data migration projects. Familiarity with distributed systems and asynchronous/event‑driven architectures. Required Skills Data Engineering SQL Data Warehousing ETL / ELT Development Python / Scala / Java REST APIs Data Modeling Data Migration Data Integration Batch Processing Event-Driven Architectures Technical Skills Snowflake Redshift BigQuery Teradata DBT Apache Airflow Informatica Talend Python Scala Java SQL Relational Databases NoSQL Databases REST APIs Solomon Page offers a comprehensive benefit program for hourly employees, including medical, dental, 401(k), direct deposit, and commuter benefits. If you meet the required qualifications and are interested in this role, please apply today. #J-18808-Ljbffr Solomon Page