Stellar Consulting Solutions
Stellar Consulting Solutions

Data Engineer

Austin, TX, US • Posted 1 day ago • Updated 6 hours ago
Contract W2
On-site
$60-65/hr on w2
Fitment

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Job Details

Skills

  • IT Consulting
  • Agile
  • Real-time
  • SAP BASIS
  • SAP
  • Knowledge Transfer
  • Collaboration
  • Data Quality
  • Snow Flake Schema
  • Amazon Redshift
  • Teradata
  • ELT
  • Informatica
  • Talend
  • Python
  • Scala
  • Java
  • Data Processing
  • SQL
  • Relational Databases
  • NoSQL
  • Database
  • Extract
  • Transform
  • Load
  • Workflow
  • Batch Processing
  • Data Flow
  • Data Modeling
  • Star Schema
  • Dimensional Modeling
  • Normalization
  • HDM
  • Migration
  • Data Warehouse
  • Cloud Computing
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • Microsoft Azure
  • SANS
  • Data Migration

Summary

Stellar Consulting Solutions is a boutique business & technology consulting company headquartered in Atlanta, GA. We deliver high quality, agile, and experienced workforce for niche technology projects of any scale. We help forward thinking clients to solve specific problems by understanding their needs and align talent that can move fluidly
to match skill supply and demand on a real-time basis.

Stellar Consulting has a unique combination of technical and digital skills to recruit, engage, and retain qualified talent. We have a stellar reputation for striving to achieve high ethical standards. Our use of Innovative techniques and industry best practices has made us one of the fastest growing boutique firms delivering to enterprise business.

Job Title: Data Engineer
Location: Austin, TX (Hybrid)
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 & Experience

  • Proven 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 APIs

  • Strong hands-on experience with SQL and relational databases; familiarity with NoSQL databases is a plus

  • Practical experience building, maintaining, or supporting data pipelines, ETL workflows, batch processing, or event-driven systems

  • Experience working with backend data flows, data transformation, and integration between services and data platforms

  • Familiarity with distributed systems or asynchronoevent-driven architectures is a plus

  • Solid 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/Google Cloud Platform/Azure).

  • Experience in documenting and handing off data migration projects.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922894
  • Position Id: 2026-16777
  • Posted 1 day ago
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