Senior Data Engineer - Remote AI & EdTech Impact

Dashlabs; Washington (District of Columbia); Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Dental coverage

Vision care

Life insurance

Job summary

DashLabs, an EdTech firm, seeks a Data Engineer to join our multidisciplinary team. You will design and maintain data pipelines, preprocess data for analytics, and collaborate with AI researchers and ML engineers to deploy models in production.

Ideal candidates have Python/Java/Scala, SQL, Spark or Kafka, and cloud platform experience. This is a remote USA role with Washington, DC metro area alignment and a strong focus on data security and collaboration.

Qualifications

• Experience with data pipelines, ETL and data warehousing.
• Programming in Python, Java, or Scala with relevant frameworks.
• Strong SQL skills, data modeling and query optimization.
• Experience with Spark, Kafka, or similar tools.
• Familiarity with AWS, Azure, or GCP and containers.

Responsibilities

• Design and implement robust data pipelines for AI-driven projects.
• Collect, clean and preprocess data from diverse sources.
• Develop scalable data processing solutions for analytics and visualization.
• Optimize databases for performance and large data volumes.
• Collaborate with ML engineers to deploy models in production.
• Document data flows and system architecture.

Skills

Data pipelines

ETL processes

SQL & data modeling

Python/Java/Scala

Cloud platforms

Docker/Kubernetes

Data security & privacy

Cross-functional collaboration

Education

BS or MS in CS/DS

Tools

Apache Spark

Apache Kafka

Docker

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Job description

DashLabs, an EdTech firm, seeks a Data Engineer to join our multidisciplinary team. You will design and maintain data pipelines, preprocess data for analytics, and collaborate with AI researchers and ML engineers to deploy models in production.

Ideal candidates have Python/Java/Scala, SQL, Spark or Kafka, and cloud platform experience. This is a remote USA role with Washington, DC metro area alignment and a strong focus on data security and collaboration.