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EdgeQ Technologies Private Limited

Data Engineer (Remote)

Posted 20 hours ago
$85000 - $125K per year
2-5 years experience
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AI Summary

Develop, maintain, and optimize data pipelines while performing data cleaning and validation to ensure accuracy. Collaborate with team members to design data integration solutions and maintain technical documentation for workflows.

Data Engineer

Experience: 0–5 Years (Freshers Welcome)
Salary Range: $85,000 – $125,000 USD per annum
Location: Seattle, Washington, United States
Work Arrangement: 100% Fully Remote
Employment Type: Full-Time

Job Summary

We are looking for a motivated and enthusiastic Data Engineer to join our growing engineering team. This opportunity is open to candidates with 0–5 years of experience, including fresh graduates and entry-level professionals who are passionate about data engineering, programming, and building scalable data solutions.

The ideal candidate should have a good understanding of Python, SQL, Git, and REST APIs, along with strong analytical and problem-solving skills.

Candidates with a willingness to learn, adapt to new technologies, and work collaboratively in a remote environment are encouraged to apply.

Freshers and recent graduates are welcome to apply!

Key Responsibilities

  • Develop, maintain, and optimize data pipelines using Python and SQL.

  • Write SQL queries to extract, transform, and analyze data from different sources.

  • Assist in designing and implementing data integration and data processing solutions.

  • Work with REST APIs to collect, exchange, and integrate data between applications.

  • Support the development and maintenance of ETL/ELT workflows.

  • Perform data cleaning, validation, and quality checks to ensure data accuracy.

  • Use Git for version control and collaborative development.

  • Troubleshoot data processing issues and assist in improving pipeline performance.

  • Collaborate with senior data engineers, software developers, and analysts.

  • Maintain technical documentation for data workflows and processes.

  • Participate in code reviews, team meetings, and technical discussions.

  • Continuously learn and adopt new tools, technologies, and engineering best practices.

Required Technical Skills

  • 0–5 years of experience in Data Engineering, Software Development, or a related field.

  • Basic to strong knowledge of Python programming.

  • Good understanding of SQL and relational database concepts.

  • Familiarity with Git and version control systems.

  • Understanding of REST APIs and API integration.

  • Basic knowledge of data structures and data processing concepts.

  • Understanding of data extraction, transformation, and loading (ETL) concepts.

  • Ability to troubleshoot technical issues and work with datasets.

  • Strong analytical and problem-solving abilities.

Preferred Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.

  • Familiarity with databases such as PostgreSQL, MySQL, or SQL Server.

  • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

  • Basic understanding of data warehouses and data modeling.

  • Familiarity with libraries such as Pandas and NumPy.

  • Exposure to tools such as Apache Airflow, Spark, or similar technologies.

  • Academic projects, internships, certifications, or personal projects related to Python, SQL, or Data Engineering are a plus.

Freshers & Entry-Level Candidates

We strongly encourage fresh graduates and candidates with limited professional experience to apply.

Candidates can qualify through:

  • Academic or personal projects involving Python and SQL.

  • Internship experience in software development or data-related roles.

  • Relevant technical certifications or training.

  • Practical knowledge of REST APIs and Git.

  • Strong programming fundamentals and willingness to learn.

Professional experience is not mandatory for entry-level applicants who demonstrate the required technical foundation and learning ability.

Compensation & Benefits

  • Annual Salary: $85,000 – $125,000 USD.

  • Full-time employment opportunity.

  • 100% fully remote work arrangement.

  • Opportunities for technical training and professional development.

  • Career growth and learning opportunities.

  • Collaborative and supportive team environment.

Final compensation will depend on experience, technical skills, qualifications, and overall assessment. Entry-level and fresher candidates may be offered compensation appropriate to their experience.

Location & Work Requirements

  • This is a 100% fully remote position.

  • Candidates must currently reside in Seattle, Washington, United States.

  • Candidates must be authorized to work in the United States.

  • Must be available to collaborate with the team during US business hours.

  • Good written and verbal communication skills are required.

  • Ability to work independently and collaboratively in a remote environment.

What We're Looking For

  • Passion for programming, data, and technology.

  • Strong willingness to learn and develop new technical skills.

  • Good logical thinking and problem-solving abilities.

  • Attention to detail and commitment to delivering quality work.

  • Ability to work effectively with a distributed team.

  • Positive attitude and adaptability.

  • Interest in building a long-term career in Data Engineering.

How to Apply

If you are passionate about Python, SQL, data engineering, and building data-driven solutions, we would love to hear from you!

Whether you are an experienced professional or a recent graduate looking to start your career, this opportunity is open to you.

Freshers are welcome. Apply now and start your career in Data Engineering!

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