Overview
On Site
$50+
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Acceptance Testing
Analytics
Auditing
Business Analysis
Business Intelligence
Collaboration
Data Architecture
Data Integration
Data Modeling
Data Quality
Data Warehouse
Data-flow Diagrams
Distribution
Documentation
Extract
Transform
Load
Knowledge Transfer
Laptop
Management
Master Data Management
Meta-data Management
Migration
Python
Scalability
Security Awareness
Snow Flake Schema
Technical Writing
Testing
Training
Unstructured Data
Workflow
Job Details
Job Description
A skilled Data Engineer is sought to support modernization efforts within a large-scale investment systems environment. The consultant will collaborate with internal technical teams to design, develop, and deliver robust, scalable data solutions. This role requires strong experience in ETL development, data modeling, and business intelligence.
Key Responsibilities
- Design and develop efficient data pipelines to extract, transform, and load (ETL) data into centralized repositories such as data lakes or data warehouses.
- Evaluate and optimize existing workflows and systems for performance and scalability.
- Ensure data quality by implementing validation processes and anomaly detection mechanisms.
- Support data integration and migration from unstructured, transactional, hierarchical, and master data sources.
- Create technical documentation, data flow diagrams, and design artifacts.
- Collaborate with cross-functional teams (e.g., data scientists, analysts) to enable structured and unstructured data access.
- Participate in internal testing, including unit and user acceptance testing.
- Conduct knowledge transfer through documentation, code commenting, job shadowing, and cross-training.
Minimum Qualifications
- 5+ years of experience in each of the following areas:
- Designing logical and dimensional data models for BI and analytics.
- Developing and maintaining data architecture, metadata, and governance.
- Ensuring data quality and integrity via monitoring and audits.
- Designing and developing ETL processes and solutions for structured/unstructured data.
- Business analysis and translating requirements into data design specifications.
- Building and distributing operational and management reports.
- Hands-on experience with ETL tools and data warehouse platforms. Experience with Snowflake, DBT, Ataccama, and Python is highly desirable.
- Contractors must provide their own equipment (laptops, software tools, etc.).
- Security awareness training completion is required before work can begin.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.