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Associate Data Engineer
Eight Eleven Group
- Fort Worth, Texas, United States
- Fort Worth, Texas, United States
About
ABOUT THE ROLE Our Client is seeking a Data Engineer to collaborate with source data application teams and product owners in designing, implementing, and supporting analytics solutions that drive business insights and enable better decision‑making. This role requires hands‑on experience with Azure services—including Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, and Azure Databricks—as well as traditional data warehouse tools. You will be involved in all phases of the development lifecycle, from design, cloud engineering (infrastructure, network, security, and administration), data ingestion, preparation, and modeling, to testing, CI/CD pipeline management, performance tuning, deployment, BI, alerting, and production support. The ideal candidate is comfortable working both independently and within a DevOps team, adheres to coding standards and security guidelines, and thrives in a multi‑functional technical team environment. Experience with Agile development, SQL, PySpark, Python, cloud platforms, and data validation is required, while data or machine learning modeling experience is a plus.
WHAT YOU'LL DO
Work closely with source data application teams and product owners to design, implement, and support analytics solutions that provide actionable business insights
Develop and maintain data migration and engineering solutions using Azure products and services (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks) and traditional data warehouse tools
Participate in all aspects of the development lifecycle, including design, cloud engineering (infrastructure, network, security, administration), data ingestion, preparation, modeling, testing, CI/CD pipeline management, performance tuning, deployments, BI, alerting, and production support
Develop technical solutions and collaborate effectively within a team environment, as well as work independently when required
Be an active member of a DevOps team that fully owns and supports its products
Follow coding standards, best practices, and privacy and security guidelines to ensure high‑quality, secure solutions
Contribute to a multi‑functional team with diverse technical and domain expertise
WHAT YOU BRING
1+ years of experience in Agile development methodologies
1+ years of experience with SQL, PySpark, and Python
0-1 year of experience with cloud platforms (preferably Azure)
0-1 year of experience in data validation processes
Experience implementing data migration and engineering solutions using Azure services (Data Lake Storage, Data Factory, Functions, Event Hub, Stream Analytics, Databricks)
Knowledge of traditional data warehouse tools
Experience across the development lifecycle: design, cloud engineering (infrastructure, network, security, administration), ingestion, preparation, data modeling, testing, CI/CD pipelines, performance tuning, deployments, BI, alerting, production support
Ability to develop technical solutions and collaborate within a team and independently
Familiarity with DevOps practices and product ownership
Adherence to coding standards, best practices, and privacy/security guidelines
Nice to have: 1 year of experience in data or machine learning modeling
WHAT'S IN IT FOR YOU
Opportunity to work with cutting‑edge Azure technologies and data engineering tools
Collaborative, multi‑functional team environment
Exposure to the full development lifecycle and DevOps practices
Competitive compensation
Potential for professional growth in data engineering and cloud technologies
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Languages
- English
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