Data Engineer
IDEAL BUSINESS ADVISORS LLC
Plano, United States of America
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
$ 182KJob location
Plano, United States of America
Tech stack
Java
Azure
C Sharp (Programming Language)
Continuous Integration
Information Engineering
ETL
Data Warehousing
Python
Microsoft SQL Server
SQL Azure
Raw Data
Salesforce
SQL Databases
SQL Server Integration Services
Data Streaming
Azure
Snowflake
Data Strategy
GIT
Build Management
Containerization
Kafka
Azure
Spark Streaming
Data Pipelines
Job description
- Architect & Innovate: Design and build next-gen data pipelines that drive enterprise data products.
- Collaborate & Create: Work closely with visionary product managers and principal architects to turn ideas into data-powered reality.
- Lead & Inspire: Partner with cross-functional teams to champion best practices and elevate our data strategy to new heights.
- Model & Transform: Develop raw, canonical, and semantic data zones that set new standards for excellence.
- Tell the Data Story: Make complex data clear, impactful, and actionable.
- Integrate & Elevate: Connect critical systems-banking, Salesforce CRM, mortgage platforms-seamlessly.
- Work with the Best Tech: Leverage Snowflake, Kafka, MS-SQL, Azure SQL DB, ADF, DBT, and more!
- Automate & Optimize: Bring in CI/CD magic with Azure DevOps and containerization tools like AKS.
Requirements
Do you have experience in Technical architecture?, Are you a data powerhouse who loves solving complex problems and turning raw data into business gold? Do you thrive in fast-paced environments where innovation and creativity are at the forefront? If so, we want YOU on our team!, * Experience & Expertise: 5+ years in data engineering, with 3+ years of SQL programming and proficiency in Python, Java, or C#.
- Technical Mastery: 2+ years of Git, plus hands-on experience with Snowflake, Kafka, Azure SQL DB, and ETL tools (SSIS, ADF, DBT).
- Streaming & Containerization: Strong experience with Kafka, Spark Streaming, Azure Service Bus, and AKS.
- Data-Driven Mindset: Expertise in data warehousing, modeling, and architecture.
- Communication Superpowers: Ability to translate data complexities into clear, actionable insights.
- Team Player Vibes: You thrive in a collaborative, high-energy environment.
Work Location: Plano, TX (Hybrid: 3 days in-office). No sponsorships.
Bonus Points for:
- Industry experience in banking, mortgage, wealth management, or insurance.
- A love for problem-solving, optimizing performance, and pushing boundaries.