Data Engineer
IDEAL BUSINESS ADVISORS LLC
Plano, TX, United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$118,119.0 - $182,251.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Microsoft Azure
C Sharp (Programming Language)
Continuous Integration
Information Engineering
Extract Transform Load (ETL)
Data Warehousing
Python (Programming Language)
Microsoft SQL Server
SQL Azure
Raw Data
Salesforce.Com
+13 more
SQL Databases
SQL Server Integration Services
Data Streaming
Azure Service Bus
Snowflake
Data Strategy
Git
Build Management
Containerization
Apache Kafka
Azure AKS
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.
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