Data Engineer
Software Engineering, Data Science
Posted on Jun 17, 2026
Data Engineer (dbt, Databricks, AWS)
Location: Irving, TX
Work Arrangement: Hybrid – 4 Days Onsite per Week
Duration: 3–6 Month Contract
About the Opportunity
CornerStone Technology Talent Services (TTS) is partnering with a leading enterprise organization undergoing a major data modernization initiative. We are seeking a Junior Data Engineer who is passionate about building scalable data solutions and transforming raw data into trusted business intelligence assets.
This is an excellent opportunity to work alongside experienced data professionals while gaining hands-on exposure to modern cloud data platforms, enterprise-scale analytics, and cutting-edge data engineering technologies. You'll contribute directly to the design, development, and optimization of cloud-based data pipelines and data models that drive strategic decision-making across multiple business functions.
What You'll Be Doing
We're looking for a curious and motivated data professional who enjoys solving complex data challenges and wants to continue growing within a modern cloud data ecosystem. The ideal candidate understands both the technical and business sides of data, can work effectively in a collaborative environment, and takes pride in building reliable, scalable data solutions.
Why Work With CornerStone TTS?
At CornerStone TTS, we connect top technology professionals with impactful projects at some of the most respected organizations in the market. Our team understands technology, advocates for our consultants, and provides ongoing support throughout every engagement. We focus on building long-term relationships and aligning opportunities with your career goals and technical interests.
Location: Irving, TX
Work Arrangement: Hybrid – 4 Days Onsite per Week
Duration: 3–6 Month Contract
About the Opportunity
CornerStone Technology Talent Services (TTS) is partnering with a leading enterprise organization undergoing a major data modernization initiative. We are seeking a Junior Data Engineer who is passionate about building scalable data solutions and transforming raw data into trusted business intelligence assets.
This is an excellent opportunity to work alongside experienced data professionals while gaining hands-on exposure to modern cloud data platforms, enterprise-scale analytics, and cutting-edge data engineering technologies. You'll contribute directly to the design, development, and optimization of cloud-based data pipelines and data models that drive strategic decision-making across multiple business functions.
What You'll Be Doing
- Build, maintain, and optimize data pipelines using dbt, Python, and SQL
- Support the design and implementation of scalable data models within modern cloud data platforms
- Develop and maintain batch and near real-time data ingestion processes
- Collaborate with business stakeholders, analysts, and technical teams to translate business requirements into data solutions
- Design dimensional models that support reporting, analytics, and self-service BI initiatives
- Implement data quality controls, validation processes, monitoring, and alerting frameworks
- Troubleshoot data issues, perform root cause analysis, and recommend long-term solutions
- Create and maintain technical documentation, data lineage, and data governance artifacts
- Optimize query performance and improve overall data processing efficiency
- Support migration and modernization efforts from legacy data environments
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field
- 2–3 years of experience in Data Engineering, Analytics Engineering, or Data Warehousing
- Hands-on experience with dbt
- Strong SQL development skills, including:
- Data modeling
- Query optimization
- Performance tuning
- Database design concepts
- Experience developing solutions with Python
- Understanding of ETL/ELT frameworks and modern data architecture principles
- Experience building and supporting cloud-based data pipelines
- Strong analytical and problem-solving skills
- Excellent communication skills with both technical and non-technical stakeholders
- Databricks
- AWS Data Services
- Snowflake
- Microsoft Fabric
- Fivetran
- SAP ECC data integrations
- REST API integrations
- Infrastructure-as-Code tools such as Terraform
- Data quality frameworks and observability tools
We're looking for a curious and motivated data professional who enjoys solving complex data challenges and wants to continue growing within a modern cloud data ecosystem. The ideal candidate understands both the technical and business sides of data, can work effectively in a collaborative environment, and takes pride in building reliable, scalable data solutions.
Why Work With CornerStone TTS?
At CornerStone TTS, we connect top technology professionals with impactful projects at some of the most respected organizations in the market. Our team understands technology, advocates for our consultants, and provides ongoing support throughout every engagement. We focus on building long-term relationships and aligning opportunities with your career goals and technical interests.