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Data Engineer MemSQL (SingleStore)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in MemSQL (SingleStore) with a contract length of part-time, 40 hours per week. Pay ranges from $60.00 to $80.00 per hour. Key skills include SQL optimization, distributed systems, and large-scale ETL processing.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
February 11, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Irvington, NJ 07111
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🧠 - Skills detailed
#Linux #Database Design #Big Data #Python #Data Warehouse #Programming #Database Systems #Indexing #Data Quality #Azure #Data Ingestion #Batch #MS SQL (Microsoft SQL Server) #Unix #Data Processing #Computer Science #DevOps #Spark (Apache Spark) #Data Engineering #Scala #Security #"ETL (Extract #Transform #Load)" #Monitoring #GCP (Google Cloud Platform) #Database Performance #SQL (Structured Query Language) #AWS (Amazon Web Services) #Data Pipeline #Data Science #Compliance #Kafka (Apache Kafka) #Data Modeling #SQL Queries #Cloud #Java #Deployment
Role description
Role: Data Engineer – SingleStore (MemSQL)
• Required Education: Bachelor’s degree in Computer Science or equivalent experience
Job DescriptionWe are seeking a highly experienced Data Engineer with strong expertise in MemSQL (SingleStore) to architect, implement, and support scalable data pipelines and real-time analytics solutions. The ideal candidate will possess hands-on experience with distributed database systems, SQL performance tuning, and large-volume data processing.
Responsibilities
Design, develop, and support scalable data pipelines on SingleStore (MemSQL)
Create and optimize advanced SQL queries, stored procedures, and data schemas
Collaborate with Data Science, Analytics, and DevOps teams
Resolve production issues and enhance system performance
Handle real-time and batch data ingestion from multiple source systems
Monitor and tune database performance, indexing, and query execution
Maintain data quality, security, and compliance requirements
Automate ETL processes, deployments, and monitoring workflows
Required Skills
· Minimum 6 years of experience designing and implementing data engineering solutions
· In-depth experience with MemSQL / SingleStore in production environments
· Expert-level SQL development, tuning, and optimization
· Strong foundation in distributed systems, database design, and data modeling
· Understanding of modern data warehouse architectures
· Hands-on experience with large-scale ETL/ELT data processing pipelines
· Comfortable working in Linux/Unix operating systems
Preferred / Nice to Have
· Hands-on experience with streaming and big data technologies such as Kafka, Spark, or Flink
· Proficiency in one or more programming languages such as Python, Java, or Scala
· Familiarity with real-time analytics and streaming data platforms
· Experience implementing and managing CI/CD pipelines
· Experience working with cloud platforms including AWS, Azure, or GCP
Job Types: Part-time, Contract
Pay: $60.00 - $80.00 per hour
Expected hours: 40 per week
Work Location: In person
Role: Data Engineer – SingleStore (MemSQL)
• Required Education: Bachelor’s degree in Computer Science or equivalent experience
Job DescriptionWe are seeking a highly experienced Data Engineer with strong expertise in MemSQL (SingleStore) to architect, implement, and support scalable data pipelines and real-time analytics solutions. The ideal candidate will possess hands-on experience with distributed database systems, SQL performance tuning, and large-volume data processing.
Responsibilities
Design, develop, and support scalable data pipelines on SingleStore (MemSQL)
Create and optimize advanced SQL queries, stored procedures, and data schemas
Collaborate with Data Science, Analytics, and DevOps teams
Resolve production issues and enhance system performance
Handle real-time and batch data ingestion from multiple source systems
Monitor and tune database performance, indexing, and query execution
Maintain data quality, security, and compliance requirements
Automate ETL processes, deployments, and monitoring workflows
Required Skills
· Minimum 6 years of experience designing and implementing data engineering solutions
· In-depth experience with MemSQL / SingleStore in production environments
· Expert-level SQL development, tuning, and optimization
· Strong foundation in distributed systems, database design, and data modeling
· Understanding of modern data warehouse architectures
· Hands-on experience with large-scale ETL/ELT data processing pipelines
· Comfortable working in Linux/Unix operating systems
Preferred / Nice to Have
· Hands-on experience with streaming and big data technologies such as Kafka, Spark, or Flink
· Proficiency in one or more programming languages such as Python, Java, or Scala
· Familiarity with real-time analytics and streaming data platforms
· Experience implementing and managing CI/CD pipelines
· Experience working with cloud platforms including AWS, Azure, or GCP
Job Types: Part-time, Contract
Pay: $60.00 - $80.00 per hour
Expected hours: 40 per week
Work Location: In person
