Data Engineer (Remote)

Posted An Hour Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
85K-125K Annually
Entry level
Artificial Intelligence • Hardware • Software • Semiconductor
The Role
Develop and optimize data pipelines using Python and SQL; integrate data through REST APIs; support ETL/ELT workflows; perform data cleaning, validation, and quality checks; troubleshoot processing issues; use Git for collaborative development; document workflows; and collaborate with engineers and analysts in a remote environment.
Summary Generated by Built In
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!

Skills Required

  • 0-5 years of experience in data engineering, software development, or a related field
  • Knowledge of Python programming
  • 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 ETL concepts
  • Ability to troubleshoot technical issues and work with datasets
  • Strong analytical and problem-solving abilities
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field
  • Familiarity with PostgreSQL, MySQL, or SQL Server
  • Exposure to AWS, Microsoft Azure, or Google Cloud Platform
  • Basic understanding of data warehouses and data modeling
  • Familiarity with Pandas and NumPy
  • Exposure to Apache Airflow, Spark, or similar technologies
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The Company
5 Employees
Year Founded: 2018

What We Do

EdgeQ develops 5G systems-on-chip for wireless infrastructure, combining connectivity and AI in a software-customizable, programmable platform. Its technology supports configurable 5G services and Open RAN deployments for enterprises, telecom operators and cloud providers, including base-station and edge-network use cases. The company’s mission is to make 5G more accessible through software-driven customization and bring cloud computing and data processing closer to where connectivity and data are used.

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