Role: Data Engineer
Location: Charlotte, NC - Onsite Weekly 3 Days
(In-person interview required) for final round nearby office in NC/ New York / PA
Engagement: Contact
About:
Need Data Engineer for a leading analytics and technology solutions organization specializing in data analytics, business intelligence, and digital transformation services. Seeking strong hands-on development and coding experience in Python, SQL, and PySpark, along with expertise in ETL, DevOps, Azure, Power BI, Snowflake, Synapse, dbt, and Apache Airflow. Please note that there will be a live coding test during the interview to assess hands-on programming and problem-solving skills.
Key Responsibilities
1. Develop and maintain scalable ELT pipelines and data workflows
2. Design and implement data models and warehouse structures
3. Build full stack data applications and backend services
4. Develop Snowflake-based data solutions within cloud environments
5. Write high-quality Python and SQL code
6. Implement automated testing frameworks
7. Develop reusable data engineering frameworks
8. Build and maintain CI/CD pipelines using GitHub
9. Create reporting and visualization solutions (e.g., Power BI)
10. Monitor and resolve production issues ensuring data reliability
11. Experience with automated testing and framework development
Key Competencies
1. Dagster orchestration
2. dbt transformations
3. Gurobi optimization solver
4. Elementary data validation
5. Retool development
6. Go Anywhere MFT
7. Power BI and DAX
8. Azure services (ADF, Synapse, Key Vault)
9. Snowflake ML/AI or R
10. SQL Server, SSIS, SSRS
11. Financial services domain experience
12. Agile methodologies
13. Highly self-motivated with strong ownership
14. Extreme personal initiative
15. Ability to work independently and in teams
16. Highly resourceful problem solver
17. Strong communication and analytical skills
18. Ability to manage priorities in fast-paced environments
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.
