Jobs in the United States

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Added 2 mins ago
Software Engineer
Truist Bank
Raleigh, NC · Charlotte, NC
Good understanding of data integration, ETL, transformation, reconciliation, and high-volume data processing across SAP and non-SAP systems.
Added 3 mins ago
Principal Platform Engineer - People Systems
Apple
Sunnyvale, CA
Added 9 mins ago
Assistant Vice President of Advancement Operations
Texas A&M University - Corpus Christi
Corpus Christi, TX
Added 13 mins ago
Senior Data Engineer
CVS Shared Services Resources LLC
Remote, United States
…focus on scalable data pipelines, database integration, and ETL processes that enable analytics, reporting, and downstream application consumption. The role is responsible for data…
Added 14 mins ago
Senior Analyst, AI Automation and Development
CVS Shared Services Resources LLC
Remote, United States
…Automate, Power Apps, and Power BI), APIs (REST and SOAP), ETL processes and tools, and data extraction, review, and…
Added 22 mins ago
Data Engineer, Sr
loanDepot
Irvine, CA
ETL/ELT, and one of data engineering languages (Python/Java/Scala).
Added 32 mins ago
Senior Bioinformatics Software Engineer
Baylor Genetics
Remote, United States
ETL Processes:Develop and optimize ETL (Extract, Transform, Load) processes to efficiently extract data from various sources, transform it, and load it into the BI system, with an emphasis…
Added 45 mins ago
GI
CX Business Intelligence Analyst
Gusto, Inc.
Denver, CO · NY
- $111,160 to $168,419 USD / year
Proven experience building and maintaining robust data reporting pipelines and ETL workflows.
Added 51 mins ago
FE
AI Engineer I
Federal Express Corporation
Plano, TX
- $7,882.48 to $10,444.28 USD / month
…systems. Handling data wrangling, SQL, data warehousing, and ETL pipelines to prepare data for…
Added 51 mins ago
FE
AI Engineer III
Federal Express Corporation
Plano, TX
- $9,719 to $13,812 USD / month
Handling data wrangling, SQL, data warehousing, and ETL pipelines to prepare data for models
Added 57 mins ago
CO
Data Engineer II
City of Boise
Boise, ID
- $76,065.6 to $90,322.96 USD / year
Two - four years of experience in database and data warehouse management and ETL processing,
Added 59 mins ago
Staff, Data Engineer | Bentonville, Arkansas
Walmart Inc.
United States
Added 1 hour ago
Data Scientist III (US) - FCRM
TD Bank, N.A.
Remote, United States
Experience with data transformation, ETL, and combining data from multiple sources to create analytics reports
Added 1 hour ago
Database Engineer - Mountlake Terrace, WA
Mindful Support Services
Mountlake Terrace, WA
Develop and maintain ETL/ELT pipelines, Fabric notebooks, and data integration processes using SQL and PySpark.
Added 1 hour ago
Data Engineer
ACE American Insurance Company
Philadelphia, PA · Jersey City, NJ · NY · Whitehouse Station, NJ
Design, build, and maintain production ETL pipelines for predictive modeling workloads.
Added 1 hour ago
SO
IT Software Engineer IV
State of Idaho
Boise, ID
- $41.43 to $46.61 USD / hour
Experience integrating enterprise applications through APIs, messaging, ETL, and data exchange technologies.
Added 1 hour ago
CS
Senior Director, Information Technology
Colorado School Of Mines Foundation
Golden, CO
- $140,000 to $160,000 USD / year
Added 1 hour ago
Principal Architect
Amgen
Washington D.C., DC
Build and optimize robust data foundations for AI by developing high-quality, scalable ETL/ELT pipelines in Databricks , ensuring data availability, consistency, and performance for…
Added 1 hour ago
Software Application Analyst I
Johnson C Smith University
Charlotte, NC
Added 1 hour ago
SO
IT Database Admin Analyst III
State of Idaho
Boise, ID
- $36.16 to $41 USD / hour
Design or refine ETL processes as agency requirements change.
Added 1 hour ago
SC
Lead Software Engineer
SBS CYBERSECURITY LLC
Remote, United States
- $80,000 to $100,000 USD / year
Experience with ETL processes, data lakes, or data warehousing.
Added 1 hour ago
M
Deployment Architect (Solutions Architect)
monday.com
Denver, CO
- $125,000 to $160,000 USD / year
- Enterprise data architecture experience across complex technology landscapes, including data mobility work such as ETL, migrations, and conversions, and a read on what makes a customer's…
Added 1 hour ago
Assistant Vice President of Advancement Operations
Texas A&M University - Corpus Christi
Corpus Christi, TX
Added 1 hour ago
Business Intelligence Manager
I3 Broadband LLC
St Peters, MO
Guide the design and maintenance of ETL/ELT pipelines, dimensional models, curated datasets, and data warehouse structures supporting BI and analytics needs.
Added 1 hour ago
P
Software Engineer - Data & Engineering Applications
PACCAR
Mount Vernon, WA
- $104,100 to $162,900 USD / year
Experience designing, developing, and supporting data processing, integration, or ETL solutions.

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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