Jobs in the United States

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Added 2 mins ago
Test Conductor
Northrop Grumman
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At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our…
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Information Security Engineer Security Baseline Configuration
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Added 2 mins ago
Electrical Instrumentation and Controls Designer
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Added 2 mins ago
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Electrical Engineer
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Tucson, AZ
- $42 to $45 USD / hour
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Campus Undergraduate Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ
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- $24.05 to $63 USD / hour
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Added 3 mins ago
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GCP data Engineer
Cognizant
Phoenix, AZ
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
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Sr. GCP Data Engineer (Remote)
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Build the connectivity, profiling, and graph/search backbone that the ontology runs on - turning raw source systems into clean, lineage-tracked, query able knowledge.
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Manufacturing Engineer
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The Manufacturing Engineer is responsible for developing and driving quality-focused manufacturing systems, processes, and equipment for the production of new and existing wire and cable…
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Databricks Data Engineer
Eliassen Group
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- $150,000 to $154,000 USD / year
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Data Engineer (BigQuery)
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Data Engineer (BigQuery)
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…schemas and ingestion pipelines against messy, real-world source systems, you understand data quality as an engineering discipline, and you can work comfortably within the access controls…
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Software Engineer, AI Products - MCP Manager
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Data Engineer
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Senior Product Engineer, Internal Tools
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Analytics Engineer
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The Analytics Engineer builds and supports the reporting, data preparation, and business solutions layer of the technology environments NextEra delivers to its clients. This role turns…
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Manufacturing Engineer
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A well-established manufacturer is searching for a Manufacturing Engineer to join their team! A leader in their respective markets while also committed to both customers and employees.…
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Manufacturing Engineer
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- $57,000 to $85,000 USD / year
A well-established manufacturer is searching for a Manufacturing Engineer to join their team! A leader in their respective markets while also committed to both customers and employees.…
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Senior Continuous Improvement Program Manager - Oahu
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…generation operations and maintenance procedures and practices, cost systems, quality control, management principals, scheduling, and work flow management expertise normally acquired…
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Telecomm Engineer I / Telecomm Engineer II - Oahu, Maui, Hawai'i**EE REFERRAL ELIGIBLE**
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Telecomm Engineer I / Telecomm Engineer II - Oahu, Maui, Hawai'iEE REFERRAL ELIGIBLE

EdgeQ Technologies Private Limited

Data Engineer (Remote)

Remote, United States

$85,000 to $125,000 USD / year · Full-time

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Job details

Pay: $85,000 to $125,000 USD / year
Job type: Full-time
Posting language: English

Original job description

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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More about this job

Skills

Data engineering
Python
SQL
Git
API development
Problem solving
Process data
Cleaning
Statistical quality control
Troubleshoot
Documentation
Software development
Control systems
Computer science
Computer technology
PostgreSQL
MySQL
Microsoft SQL Server
AWS
Microsoft Azure
Google Cloud
Data modelling
NumPy
Apache Airflow
Apache Spark
Communication skills
Work independently
Attention to detail
Adaptability

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