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Sr Project Manager / Engineering Capital Projects
System One
York, PA
Job Title: Sr Project Manager / Engineering Capital Projects
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Product Manager - Platform
Revel
United States
You’ll work alongside the engineers building our deployment, infrastructure, and runtime systems, and collaborate closely with design, front-end engineering, and our field deployment…
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Product Manager - Developer Tools
Revel
United States
…controls engineers, and what they write executes against physical systems. A confusing compiler error or a slow test loop costs more than time here. It raises the chance a mistake reaches…
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PG
API Manufacturing Operations SME
PM Group
Richmond, VA
- $150,000 to $175,000 USD / year
…familiarity with process automation and distributed control systems…
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Contract Administrator
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Wall, NJ
…administration. The role supports a variety of agreements, including Engineering Procurement and Construction contracts, project development and acquisition contracts, confidentiality…
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CNC Maintenance Technician
Randstad USA
Ontario, CA
- $72,800 to $87,400 USD / year
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Project Manager - SRE
Randstad USA
Remote, United States
- $44 to $45 USD / hour
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Cost Allocation Data Engineer
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- $45 to $50 USD / hour
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Controls and Automation Technician PHX
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Phoenix, AZ
- $42.5 USD / hour
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Senior AI Developer
ClickUp
Remote, United States
- $200,000 to $250,000 USD / year
We're looking for a highly skilled and experienced Senior AI Engineer to join our ClickUp Engineering team, with a focus on AI evaluations. You'll own how we measure and improve the quality…
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Development Analyst
Beale Infrastructure
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Cybersecurity Engineering
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Senior Data Analyst, Analytics Insights - Studios and CoD Live Services
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Senior Software Engineer, Data Activation & Products - Activision
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United States
- $102,800 to $190,204 USD / year
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Software Engineer - Full Stack, Officer
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Sr Principal Engineer - IPT Leader
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Systems Engineering Fall 2027 Co-op, Richardson, TX (Onsite)
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…defense and strategic nuclear deterrence. As a Fall Co-op in Systems Engineering within Strategic Defense Solutions (SDS), you’ll collaborate with experienced engineers to solve complex…
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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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