MACHINE LEARNING TECHNOLOGIES LLC
Data Engineer Overview
| Company Name | MACHINE LEARNING TECHNOLOGIES LLC |
| Job Role | Data Engineer |
| Qualifications | Not specified |
| Category | I |
| Job Type | Full Time |
| Location | Dallas, TX, United States |
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Job Description
Job Overview
- Job ID:
J54863
- Job Title:
Data Engineer
- Location:
Dallas, TX
- Duration:
10 Months + Extension
- Domain Exposure:
Banking & Finance
- Client:
To Be Discussed Later
- Employment Type:
W-2, 1099, C2C
- Work Authorization:
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
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Job Title: Data Engineer
Location: Dallas, TX
Duration: 10 Months
Bill Rate: $78/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Role Descriptions
Data Integration Engineer Qualifications
- Understanding of post-trade data flows including allocations, confirmations, settlement, risk, finance, and regulatory reporting.
- Knowledge of securities data modeling and financial data structures. Experience with reference data, security master data, and transactional trade data.
- Understanding of time-series data management and financial market data is a strong plus.
- Strong SQL development skills with experience designing and optimizing relational data models and database schemas.
- Proficiency in Python, including data processing frameworks such as Pandas and PySpark.
- Strong understanding of data warehouse, data lake, and Data Lakehouse concepts.
- Experience working with large-scale transactional and analytical data platforms.
- Experience with PostgreSQL, SQL Server, Snowflake, Redshift, Databricks, or similar database and data warehouse technologies on cloud, preferably AWS.
- Experience with stream and batch data processing technologies such as Kafka, Spark, Flink, or similar platforms.
- Experience building batch and streaming data pipelines, including ETL/ELT workflows, using Python and SQL.
- Strong understanding of data quality, data lineage, data validation, and reconciliation processes.
- Experience working with messaging technologies such as Kafka, RabbitMQ, IBM MQ, or similar platforms.
- Familiarity with monitoring and observability tools such as Datadog, Prometheus, and Grafana.
- Understanding of data security, privacy, and regulatory compliance requirements.
- Exposure to data science, machine learning, and AI/GenAI data preparation concepts is a plus.
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Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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