Data Engineer - II
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+24 more
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?
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Data Engineer Salary UK
The Most Popular IT Jobs on the Market
Highest Paying Tech Companies for Developers
The 12 Best Jobs for Software Engineers