Data Engineer (Banking Exp Needed) || Richmond, VA/ McLean, VA (Hybrid 3 Days a week) ||

  • McLean, VA
  • Posted 16 hours ago | Updated 1 hour ago

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Business Intelligence
Apache Hive
Apache Kafka
Apache Spark
Application Development
Cloud Computing
Accessibility
Amazon Redshift
Electronic Health Record (EHR)
Extract
Transform
Load
Data Integrity
Data Management
Data Quality
Data Warehouse
ELT
Amazon Web Services
Analytical Skill
Apache Hadoop
Collaboration
Python
Regulatory Compliance
Data Governance
Management
MapReduce
NoSQL
Privacy
PySpark
SQL
Snow Flake Schema
Use Cases

Job Details

Data Engineer (Banking Exp Needed)

Richmond, VA/ McLean, VA (Hybrid 3 Days a week)

Job Description:

A data engineer on a project team, responsible for designing, building, and optimizing data pipelines and data stores to support various business intelligence and analytical needs. This role requires a strong understanding of data warehousing concepts, ETL/ELT processes, and experience working with large-scale distributed systems.

Key Responsibilities:

Design, construct, install, test, and maintain robust data management systems.
Build high-performance, scalable data pipelines for data ingestion, transformation, and loading using Python, SQL, and cloud services.
Develop and manage data warehouse solutions (e.g., Redshift, Snowflake) to ensure data integrity and accessibility.
Collaborate with Data Scientists, Analysts, and other stakeholders to understand data requirements and deliver solutions.
Implement monitoring and alerting systems for data pipelines to ensure operational stability and data quality.
Optimize data retrieval and consumption for various analytical use cases.
Ensure compliance with data governance, security, and privacy policies.
Evaluate and recommend new technologies and best practices to improve the data infrastructure.

Basic Qualifications:

Bachelor s Degree with at least 6+ years of work experience
4+ years of experience in application development including Python, PySpark, SQL, etc.
4+ years of experience with a public cloud (AWS preferred)
2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark)
4+ years of data warehousing experience (Redshift or Snowflake)
2+ years of experience with NoSQL implementation
2+ years of experience with databricks

Thanks

Navya

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