Data Engineer
Qode Open · verified Oct 24, 2026 On-site New Jersey, United States Full-time Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at Qode. New Jersey, United States · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Estimated pay
Qode has not published a salary for this role. The figure below is our estimate, not theirs.
$112,500 – $160,000
What the middle half of mid-level data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 386 postings that stated pay, median $134,547. Last updated Oct 24, 2026.
RoleData Engineering
SeniorityMid-level
LocationNew Jersey, United States
WorkplaceOn-site
EmploymentFull-time
PostedFeb 10, 2026 · 8mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain ETL workflows and data pipelines that can scale
- Use MEM SQL (SingleStore) to handle real-time processing and large data volumes
- Tune queries, database speed and data models for better performance
- Work with data scientists, analysts and application teams to meet their data needs
- Check platform data for quality, reliability and security, and resolve pipeline or system problems
What you bring
- You have substantial experience working as a data engineer
- You have practical experience with MEM SQL (SingleStore) and strong SQL skills
- You have tuned databases and worked with ETL tools or pipeline frameworks
- You understand data warehousing and modeling, plus real-time work with large datasets
Who this fits
This is an onsite role based in New Jersey, Irving, Texas or Tampa, Florida. It suits a data engineer who wants to build and tune data platforms, pipelines and ETL processes.
From the employer
Job Title: Data Engineer – MEM SQL Location: New Jersey / Irving, TX / Tampa, FLJob Description:We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and high-performance data platforms.Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes
- Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing
- Optimize database performance, queries, and data models
- Collaborate with data scientists, analysts, and application teams to support data needs
- Ensure data quality, reliability, and security across data platforms
- Monitor and troubleshoot data pipeline and system issues
- Support data migration and integration activities
- Strong experience as a Data Engineer
- Hands-on experience with MEM SQL (SingleStore)
- Strong SQL skills and database optimization experience
- Experience with ETL tools and data pipeline frameworks
- Knowledge of data modeling and data warehousing concepts
- Experience working with large datasets and real-time data processing
- Experience with cloud platforms (AWS / Azure / GCP)
- Knowledge of Big Data technologies (Spark, Kafka, etc.)
- Telecom domain experience (preferred, not mandatory)
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