Data Engineer

Overview

Join DashLabs, a dynamic EdTech firm at the forefront of innovation in education. As experts in instructional design, research and development, data-driven needs assessment, and virtual learning environments, we’re on a mission to transform education through cutting-edge technology. We’re seeking a talented and motivated Data Engineer to play a vital role in our expanding team. If you’re passionate about creating impactful solutions and driving innovation in education, DashLabs is the place to be.

**About DashLabs:**

At DashLabs, we’re committed to redefining education by harnessing the power of technology. Our innovative approaches cater to government agencies, NGOs, and global end-users, delivering transformative solutions that adhere to cross-disciplinary styles. As we venture into new realms of capability and client opportunities, we’re looking for dedicated individuals to help us shape the future of education.

No. of Vacancies
1
Specific Skills
**Qualifications:**
  • Proven experience as a Data Engineer, working on data pipelines, ETL processes, and data warehousing.
  • Proficiency in programming languages such as Python, Java, or Scala, and experience with relevant frameworks.
  • Strong knowledge of SQL and database systems, with expertise in data modeling, schema design, and query optimization.
  • Experience with data integration and transformation tools, such as Apache Spark, Apache Kafka, or similar technologies.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP, and knowledge of containerization and orchestration tools like Docker and Kubernetes.
  • Solid understanding of data security, privacy, and compliance considerations.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
Responsible For
**Data Engineer Responsibilities:**
  • Collaborate closely with cross-functional teams, including AI Research Scientists, Data Scientists, and Machine Learning Engineers, to design and implement robust data pipelines for AI-driven projects.
  • Collect, clean, and preprocess data from various sources, ensuring its quality, integrity, and compatibility with downstream processes.
  • Develop and maintain scalable and efficient data processing solutions that support analytics, modeling, and visualization needs.
  • Implement data transformation and integration processes, ensuring smooth data flow and accessibility for different stakeholders.
  • Optimize database systems for performance, ensuring quick and reliable access to large volumes of data.
  • Collaborate with Machine Learning Engineers to deploy machine learning models into production environments, ensuring data availability and model performance.
  • Stay updated with emerging trends in data engineering and technology, bringing new ideas and solutions to the team.
  • Document data engineering processes, data flows, and system architecture for reference and knowledge sharing.
Additional Requirements
**Note:** We are unable to sponsor visas, and applications are open to U.S. citizens only.
Job Nature
Full Time, Part Time
Educational Requirements

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Experience Requirements
7
Job Location
Remote - USA, Washington D.C. Metro Area
Other Benefits
**Benefits:** - DashLabs offers a comprehensive benefits package to full-time staff, including health insurance, dental coverage, vision care, and life insurance. We value the well-being of our team members and are dedicated to providing a supportive and inclusive work environment. Join DashLabs as a Data Engineer and contribute to the development of innovative AI-driven solutions that shape the future of education. If you're excited about leveraging your data engineering expertise to drive meaningful impact, we invite you to apply and be part of our journey to revolutionize education.
Job Level
Sr. Position

How to Apply

 

Interested candidates are encouraged to provide a comprehensive cover letter and resume for consideration.

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