Data Engineer (Database and Python-focused)
Data Engineer (Database and Python-focused)
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1 Vacancy
Job Description
Client Name: SANS
End Client Name: Morgan Stanley
Job Title: Data Engineer (Database & Python-focused)
Location: New York City- Local with local DL
Work Type: Hybrid 3 Days Onsite
Job Type: Contract
Rate: $75/hour on Corp to Corp
Notes:
- Prefer candidates from Investment Banking OR Fortune 1000 companies (e.g. Visa Mastercard Walmart Amex).
- 8 15 years of experience in the USA required.
- Must be senior and technically mature.
- Visa: Any (USC GC H4-EAD.)
- Must attend 1 in-person round in NYC and 2 Zoom interviews.
- LinkedIn profile is mandatory with each resume submittal no exceptions.
- This is NOT a Machine Learning or AI Python role. Do NOT submit resumes with only Python/ML experience.
- Must have strong database experience (not DevOps or ML-heavy candidates).
Job Description:
Morgan Stanleys Institutional Securities Technology team is seeking a Data Engineer with deep database and ETL expertise combined with mid-level Python experience. The candidate will work on Data Quality and Client Confidentiality platforms that handle massive datasets across a hybrid on-prem/cloud infrastructure.
Roles and Responsibilities:
- Develop troubleshoot and optimize ETL workflows across multiple database systems.
- Identify and resolve data quality issues and performance bottlenecks.
- Extract process and deliver millions of rows of data daily.
- Conduct performance tuning on-prem (DB2 Greenplum Sybase) and in Snowflake.
- Support and maintain production systems including log analysis and issue triaging.
- Work within a UNIX/Linux environment to manage and automate data pipelines.
- Write SQL queries and Python scripts to move and transform data including Kafka/JSON outputs.
- Collaborate closely with internal teams and support onboarding of new users to the platform.
- Contribute to the development and productization of the data quality platform.
Required Skills:
- 8 15 years total IT experience
- Strong SQL skills must be able to write complex high-performance queries
- Strong experience with at least two of the following: DB2 Greenplum Sybase
- Working experience with Snowflake (minimum 1 2 years)
- UNIX/Linux experience (basic commands file handling troubleshooting)
- Mid-level Python (for automation and data movement) scripting and basic programming
- ETL development experience across large data environments (millions of rows)
- Experience handling structured data (CSV JSON)
- Basic Kafka knowledge (can be trained)
- Git Jira and job scheduling tools (e.g. Autosys)
- Must be open to onsite interview and technical coding round in NYC
Preferred Skills:
- Experience in financial institutions or data-heavy enterprise environments
- Familiarity with anomaly detection techniques (isolation forest clustering time-series analysis)
- Exposure to model monitoring and logging tools
- Understanding of Data Quality systems as product platforms
- Basic knowledge of containerization (Docker Kubernetes) for future-readiness
Employment Type
Full Time
