Senior Data Engineer

RAZOR, INC.
United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Databases Continuous Integration Data Architecture Extract Transform Load (ETL) Data Visualization Data Warehousing Database Queries Fraud Prevention and Detection
+20 more
Python (Programming Language) Machine Learning Performance Tuning Azure Machine Learning SQL Databases Transact-SQL Data Processing Azure Data Factory Sql Optimization Large Language Models Pandas Data Lakes Pyspark Semi-structured Data Infrastructure Automation Frameworks Information Technology Restful APIs Azure Synapse Analytics Software Version Control Data Pipelines

Job description

Razor is looking for a Senior Data Engineer to support a long term, 100% Remote federal government contract. In this role, you will be responsible for designing, building, and maintaining scalable data solutions in a cloud-based environment. This position focuses on database management, ETL/ELT pipeline development, data modeling, and performance optimization, with an emphasis on leveraging Azure data services and modern data stack tools to support fraud detection, analytics, and business intelligence initiatives., * Develop new datasets to support fraud identification, audits, and investigations

  • Optimize the performance of common database queries
  • Create and implement data models to improve database efficiency and usability
  • Propose and implement architectural improvements to reduce cloud costs
  • Develop, optimize, and maintain ELT/ETL pipelines
  • Monitor pipelines to ensure performance and regular data updates
  • Collaborate with Cloud Architects to develop new methods of accessing and transporting data
  • Assist in the development of dashboards and reports for data visualization and storytelling
  • Support ingestion, transformation, and configuration of data in cloud-based data lakes or warehouses
  • Analyze and structure unstructured and semi-structured data from SQL and data lake environments
  • Partner with data architecture teams to author SOPs for Azure asset creation, maintenance, and monitoring

Requirements

  • Bachelor’s degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field; OR
  • 10 years of experience in the same fields
  • Cloud certifications (Azure, AWS, or GCP) preferred

Clearance Requirements:

  • U.S. Citizenship required
  • Must be eligible for Public Trust/background investigation
  • 100% REMOTE, * Minimum five (5) years of hands-on experience in:
  • Maintaining SQL databases and performing advanced SQL and T-SQL operations
  • Designing, implementing, and maintaining ETL/ELT processes in cloud-based analytics environments
  • Minimum three (3) years of hands-on experience in:
  • Working with Azure Synapse and Azure Machine Learning within a modern data stack
  • Data manipulation using Python with Pandas (required); experience with PySpark or Polars preferred
  • Experience developing reusable and modular code

Desired Skills:

  • Experience implementing pipelines and infrastructure using code-first approaches (Python SDK, CLI, REST APIs, or Infrastructure as Code tools)
  • Experience with source control and CI/CD workflows
  • Familiarity with AI coding assistants and large language model (LLM) integration patterns

Benefits & conditions

Benefits Overview: Razor offers a comprehensive benefits package which may include medical, dental, and vision insurance, paid time off, holidays, 401(k) with company match, professional development opportunities, and other competitive benefits designed to support the health and well-being of our employees.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · WWC 2024

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

3:33 min

Refactoring data science workflows using Rapids QDF and Pandas

Paul Graham Paul Graham · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all