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Open nowPosted 2 hours agoWe saw it 41 min after it went up

Data Engineer (Remote)

edgeqtechnologies49 open roles

Pay
$85,000 – $125,000 a yearly
Where
United States
Work mode
Remote
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Your applicationOpen nowData Engineer (Remote)edgeqtechnologies · United States

  1. YouYes, apply to this one.

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The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. edgeqtechnologies postings stay open a median of 2 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.7%30 days
  6. 58.7%60 days
This job: posted 2 hours ago

edgeqtechnologies median: 2 days open

The posting

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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