Jobs in the United States

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Added just now
Software Engineer II, Onsite
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United States
Experience with test automation and CI/CD tools (e.g., Jenkins, GitLab CI).
Added just now
System Engineering Co-op (Remote)
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…delivers information superiority from space, multi-mission automation and orchestration, multiple intelligence (Multi-INT) and resilient operations, secure processing, and data…
Added 5 mins ago
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Crown Innovations is seeking an experienced Aviation Software Verification & Test Engineer to support the development, verification, and certification of advanced aviation navigation…
Added 8 mins ago
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As a Senior Software Engineer on Compute Platform, you will work with a distributed team to contribute to the technical direction of a Kubernetes platform that hundreds of internal teams…
Added 9 mins ago
Machine Learning Engineer
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Added 9 mins ago
Senior Software Engineer (L4)
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Sr. IAM Engineer | Remote, USA
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Added 14 mins ago
Senior Entra ID Integration Engineer
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VIATEQ Corporation is looking for an experienced Senior Entra ID Integration Engineer to support enterprise identity and access management operations and IT administrative and operational…
Added 14 mins ago
Senior MuleSoft API Engineer (Remote)
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VIATEQ Corporation is looking for a Senior MuleSoft API Engineer to support our Prime contractor and government customer. The position is remote. This position requires the candidate to be…
Added 15 mins ago
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Applications Security Engineer II
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Knowledge of Development toolset to design, develop, test, deploy, maintain, and improve software.
Added 16 mins ago
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Senior Automation And Controls Engineer
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- $180,000 to $190,000 USD / year
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Added 18 mins ago
Senior Software Engineer - Cloud SaaS - IE&A
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Added 22 mins ago
Software Test Engineer, Senior
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Maritime Software Integration and DevOps Engineer
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Added 22 mins ago
Maritime Software Integration and DevOps Engineer
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Experience working with Linux‑based development, Git, static analysis tools, or test automation frameworks
Added 22 mins ago
IG
REMOTE- QA Automation Engineer
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- From $60 USD / hour
An employer is looking for a QA Automation Engineer to sit remotely. You will primarily be tasked with developing, managing, and executing automated tests for the client home grown contract…
Added 23 mins ago
Refueling & Remote Handling I&C Engineer
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Five or more years of engineering experience supporting nuclear, industrial automation, robotics, remote handling, process control, or related engineering programs.
Added 23 mins ago
Customer Success Engineer
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Added 25 mins ago
Staff Agentic Software Engineer - US Ticketing Team Lead
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…Nucleus Security is seeking an AI-focused, experienced Software Engineer to join our Integrations team and help expand our ecosystem of data integrations with the world’s leading security…
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Software Engineer - Connected Vehicle Data
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Added 29 mins ago
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Control Systems Engineer
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- $108,000 to $134,000 USD / year
As a Control Systems Coordinator here at Honeywell, you will coordinate the full project lifecycle for control, safety, automation, industrial network, telecommunications, and…
Added 30 mins ago
Senior Data Engineer - Data Quality
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The Senior Data Engineer designs, develops, implements, and maintains scalable data solutions within Renown Health's Enterprise Data Platform. This role builds and supports data pipelines,…
Added 32 mins ago
Full Stack Engineer - Traffic
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Added 1 hour ago
Engineering Lab Infrastructure and Rework Engineer
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Added 1 hour ago
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EdgeQ Technologies Private Limited

Junior Data Engineer (Remote)

Remote, United States

$75,000 to $115,000 USD / year · Full-time

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Job details

Pay: $75,000 to $115,000 USD / year
Job type: Full-time
Posting language: English

Original job description

Junior Data Engineer Job Title: Junior Data Engineer Job Type: Full-Time Work Arrangement: Remote / Hybrid / On-site Experience Level: Entry-Level to Early Career (0–3 Years) Salary Range: $75,000–$115,000 per year Job Locations: Seattle, WA | Austin, TX | Dallas, TX | New York City, NY | Atlanta, GA Candidate Location Requirement: Must currently reside in the United States. About the Role We are seeking a motivated and detail-oriented Junior Data Engineer to join our data engineering team. The ideal candidate will have a foundational understanding of Python, SQL, ETL processes, and Apache Spark, with a strong interest in building reliable, scalable data pipelines. In this role, you will help develop and maintain data ingestion workflows, transform raw data into usable datasets, and support data integration initiatives. You will collaborate with data engineers, data analysts, data scientists, and other technical teams to ensure data is accurate, accessible, and ready for reporting and analytics. This opportunity is ideal for recent graduates and early-career professionals who want to build their skills in data engineering, big data processing, and modern data platforms. Eligibility requirement: Applicants must currently reside in the United States. Remote work is available only where permitted by the employer's employment and payroll requirements.

Key Responsibilities

Develop, test, and maintain data pipelines using Python and SQL.
Assist in building and managing ETL (Extract, Transform, Load) workflows.
Extract data from databases, APIs, files, and other source systems.
Clean, transform, validate, and load data into target systems.
Use Apache Spark for distributed data processing and large-scale data transformations.
Write efficient SQL queries to retrieve, join, aggregate, and manipulate datasets.
Monitor data pipelines and troubleshoot failures, performance issues, and data quality problems.
Support the development of batch-processing and, where applicable, streaming data workflows.
Implement data validation checks to maintain data accuracy and consistency.
Collaborate with analytics and business intelligence teams to support reporting and analytical requirements.
Document pipeline logic, data sources, transformations, and technical procedures.
Follow coding standards, version control practices, and data security guidelines.
Participate in code reviews, testing, and continuous improvement initiatives.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field, or equivalent practical experience.
0–3 years of experience in data engineering, software development, data analytics, or a related technical field.
Working knowledge of Python for scripting, data processing, and automation.
Proficiency in SQL, including joins, aggregations, subqueries, and data manipulation.
Understanding of ETL/ELT concepts and data pipeline development.
Basic familiarity with Apache Spark and distributed data processing.
Knowledge of relational databases and data modeling fundamentals.
Understanding of data cleaning, validation, and transformation techniques.
Familiarity with Git or other version control tools.
Strong analytical thinking, problem-solving, and debugging skills.
Good written and verbal communication skills.
Must currently reside in the United States.

Preferred Qualifications

Exposure to PySpark for large-scale data transformations.
Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Basic knowledge of data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.
Understanding of data lake and lakehouse architectures.
Familiarity with workflow orchestration tools such as Apache Airflow.
Exposure to Docker, CI/CD, or automated testing.
Understanding of batch processing, incremental loads, and data pipeline scheduling.
Familiarity with dimensional modeling and data warehouse design.
Academic projects, internships, or personal projects involving data pipelines or big data technologies.

Technical Skills Skill CategoryRequired / Preferred SkillsProgrammingPythonDatabase QueryingSQLData IntegrationETL/ELT pipelinesBig Data ProcessingApache Spark, basic PySparkDatabasesRelational database conceptsVersion ControlGit, GitHub or GitLabCloud PlatformsAWS, Azure, or Google Cloud - preferredData WarehousingSnowflake, Redshift, or BigQuery - preferredWorkflow OrchestrationApache Airflow - preferredCore CompetenciesDebugging, data quality, problem-solving Salary and Benefits

Annual base salary: $75,000–$115,000 USD.
Full-time employment.
Remote, hybrid, or on-site work arrangements, depending on the position.
Potential benefits may include health insurance, retirement plans, paid time off, and professional development opportunities, depending on the employer.
Opportunities to develop skills in cloud data engineering, distributed computing, and scalable data architecture.

The salary range is indicative and not a verified offer. Actual compensation may vary by employer, experience, location, and role requirements. Work Locations Opportunities may be available in the following U.S. markets:

Seattle, Washington
Austin, Texas
Dallas, Texas
New York City, New York
Atlanta, Georgia

Remote Work Requirements

Candidates must currently reside in the United States.
Applicants must be eligible to work in the United States under the employer's applicable hiring requirements.
Remote employment is subject to state-specific payroll eligibility and company policies.
Some positions may require occasional office attendance or collaboration during U.S. business hours.

Equal Employment Opportunity We are committed to providing equal employment opportunities to qualified applicants. Employment decisions are made in accordance with applicable federal, state, and local laws. How to Apply Interested candidates should submit an updated résumé highlighting their Python, SQL, ETL, and Spark skills. Applicants are encouraged to include internships, academic projects, GitHub repositories, or portfolio examples demonstrating data pipeline development and transformation experience. Please include your current U.S. city and state in your application to confirm location eligibility. Job Summary CategoryDetailsJob TitleJunior Data EngineerExperience0–3 yearsEmployment TypeFull-timeWork ArrangementRemote / Hybrid / On-siteSalary$75K–$115K annuallyCore SkillsPython, SQL, ETL, SparkLocationsSeattle, Austin, Dallas, NYC, AtlantaCandidate LocationMust currently reside in the U.S.

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More about this job

Skills

Data engineering
Python
SQL
Apache Spark
Reporting
Process data
Payroll
Troubleshoot
Business intelligence
Apply information security policies
Process improvement
Computer science
Computer technology
Software development
Data analysis
Data modelling
Cleaning
Git
Analytical skills
Problem solving
Debugging
Communication skills
PySpark
AWS
Microsoft Azure
Google Cloud
Snowflake
Amazon Redshift
BigQuery
Workflow
Apache Airflow
Docker
CI/CD
Test automation
Scheduling
Data warehouse
GitHub
Collaboration

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