Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Data Engineer
Job
Robustware
Addison, TX (In Person)
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
86
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Hello, I hope this message finds you well. This is Shyam from TechStar Group. We currently have an opening for the below position. If this opportunity interests you, please let me know.
Role:
Data Engineer Location:
Addison TX (Onsite) Ideal Candidate Personality / Soft Skills Strong collaborator who works well with cross-functional teams. Comfortable operating in a brand-new, evolving environment and helping build processes from the ground up. Ownership mindset with the ability to manage, build, and expand data solutions. Proactive in managing pipeline health, data quality, and data governance experience. Adaptable, hands-on, and capable of balancing engineering execution with operational support. About the Role Client is building a cloud-native analytics platform on Azure and Snowflake to support our business operations. The Data Engineer owns the pipelines that make it run- ingesting data from our core source systems, transforming it through a Bronze/Silver/Gold medallion architecture, and keeping it reliable in production.
This is hands-on engineering work:
you will build, not just advise. What You'll Own Build and maintain ELT pipelines in Azure Data Factory (ADF) ingesting data disparate data sources into Azure Data Lake Storage Gen2 Implement Snowflake Bronze → Silver → Gold layer transformations: incremental loads, SCD Type 2, and fact/dimension modeling aligned to business requirements Write and optimize T-SQL against SQL Server for performant source extraction without disrupting operational workloads Maintain pipeline monitoring, alerting, and error recovery- pipelines support 24/7 revenue operations and uptime matters Handle PHI/PII data in full compliance with
HIPAA:
field masking, access controls, and audit-ready data handling at every layer Collaborate with our AI/ML engineer to ensure Silver layer data structures are ML-ready and consistently documented Must-Have Skills Azure Data Factory and ADLS Gen2- production pipeline experience, not just training exercises Snowflake
- tasks, streams, incremental loading, query optimization, RBAC basics SQL Server / T-SQL
- strong enough to write efficient extraction queries against a complex operational schema Advanced SQL
- window functions, CTEs, SCD Type 2 implementation ETL/ELT patterns
- incremental load design, idempotency, error handling Nice to Have Healthcare data experience Python for transformation utilities or pipeline testing dbt for Silver/Gold layer management Azure DevOps / CI/CD for pipeline deployment Qualifications 5-8+ years of data engineering experience with at least 2 years on Azure Demonstrated Snowflake production experience Bachelor's in CS, Information Systems, or equivalent experience Experience working with regulated data (HIPAA, PCI, or similar)