Data Engineer - II

U.S. Xpress Inc
United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$82,700.0 - $103,400.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Amazon Web Services Data Analysis Microsoft Azure C Sharp (Programming Language) Information Systems Databases Information Engineering Extract Transform Load (ETL) Data Transformation Data Security Data Systems
+24 more
Data Warehousing Relational Databases Database Queries Database Schema Python (Programming Language) Message Broker MongoDB NoSQL Performance Tuning RabbitMQ SQL Stored Procedures SQL Databases Data Storage Management Google Cloud Azure Data Factory Indexer Amazon Relational Database Service Information Technology Data Analytics Integration Frameworks Apache Kafka Data Pipelines Legacy Systems Programming Languages

Job description

The Data Engineer II works with new and legacy systems to lead the way for high-quality decisions. The Engineer II contributes to the design and implementation of both relational and NoSQL data repositories, focusing on optimizing data access and ensuring efficient data storage. This role works independently on smaller projects and assists senior engineers on more complex tasks., · Design and implement data models and schemas for relational and NoSQL databases, with a focus on MongoDB.

· Develop and optimize SQL queries and stored procedures.

· Implement data transformation and processing pipelines.

· Collaborate with development teams to ensure data solutions meet application requirements.

· Conduct data analysis and performance tuning to optimize database systems.

· Assist in mentoring junior engineers and contribute to best practices., · Relevant certifications (MongoDB Certified Developer, Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics - Specialty, etc.) preferred

Requirements

· Bachelor’s degree in Computer Science, Information Systems, or related field required

· Master’s degree preferred, * 3+ years of experience in data engineering or a related role required

  • Experience with data modeling, ETL processes, and data warehousing
  • Experience with a programming language (Python, Java, C#)

· Transportation, Logistics, and/or Tech industry experience a plus

Skills & Abilities

· Proficiency in SQL and experience with at least one NoSQL database, specifically MongoDB

· Understanding indexing, partitioning, and data sharding

· Knowledge of data security and compliance best practices

· Familiarity with message brokers such as Kafka or RabbitMQ, and relational databases like Amazon RDS is a plus

· Strong SQL skills and experience with data processing frameworks

· Ability to design and optimize database schemas and queries

· Experience with MongoDB and cloud platforms (e.g., AWS, Azure, GCP) is beneficial

· Adept at assessing organizational dynamics and managing change

· Works quickly and efficiently. Able to test solutions, learn, and iterate quickly

· Proactive and pragmatic problem solver

· Communicates effectively across multiple mediums

Benefits & conditions

2.92.9 out of 5 stars United States Remote $82,700 - $103,400 a year - Full-time, Pulled from the full job description

  • Professional development assistance
  • Tuition reimbursement
  • Parental leave
  • 401(k)
  • Health insurance
  • Paid time off
  • Vision insurance, * 401(k)
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Tuition reimbursement
  • Vision insurance

Application Question(s):

  • This position requires someone located in the East Coast. Are you located in the East Coast?
  • What are you salary expectations?

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Good distractions

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

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Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

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Analyzing limitations with PostgreSQL bitmap heap scans

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Nikita Shamgunov Nikita Shamgunov · World Congress 2024

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Balancing data science skillings alongside systems engineering rigor

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Terminology differences between relational and NoSQL databases

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Career evolution in data engineering and AI platforms

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