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Data Engineer

$117K - $140K/yr

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Junior Data Entry Specialist - Remote

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URGENT NEED - Data Engineer ___ REMOTE

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Junior Data Engineer Remote information

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$33.5K

$71.8K

$109.5K

How much do junior data engineer remote jobs pay per year?

As of Jul 9, 2026, the average yearly pay for junior data engineer remote in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Data Engineer (Remote), and why are they important?

To thrive as a Junior Data Engineer (Remote), you need a solid grasp of SQL, Python or other programming languages, and a relevant degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms like AWS or Azure, and ETL frameworks is typically expected. Strong problem-solving skills, attention to detail, and effective remote communication help you excel in collaborative, distributed teams. These competencies are crucial for building reliable data pipelines and ensuring seamless data flow in a remote work environment.

How does a Junior Data Engineer typically collaborate with more experienced team members in a remote setting?

As a Junior Data Engineer working remotely, you'll often collaborate with senior engineers and data scientists through virtual meetings, code reviews, and shared documentation platforms. You'll likely participate in stand-up meetings, pair programming sessions, and receive feedback on your work via online tools like GitHub or Jira. This collaborative environment helps you learn best practices, troubleshoot issues, and contribute to projects, all while building your skills under the guidance of more experienced team members.

What are Junior Data Engineers (Remote)?

Junior Data Engineers (Remote) are entry-level professionals who assist in designing, building, and maintaining data pipelines and databases, typically while working from a remote location. They handle tasks like data cleaning, processing, and integration, usually under the supervision of senior data engineers or data architects. Their work supports analytics, reporting, and data science efforts within an organization, and they often use tools such as SQL, Python, and cloud platforms. Remote roles require strong communication and collaboration skills, as well as the ability to work independently.
More about Junior Data Engineer Remote jobs
What cities are hiring for Junior Data Engineer Remote jobs? Cities with the most Junior Data Engineer Remote job openings:
What are the most commonly searched types of Data Engineer Remote jobs? The most popular types of Data Engineer Remote jobs are:
What states have the most Junior Data Engineer Remote jobs? States with the most job openings for Junior Data Engineer Remote jobs include:
Infographic showing various Junior Data Engineer Remote job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Jr. Data Engineer

Kalani Consulting, Inc.

Leesburg, VA โ€ข Remote

Full-time

Re-posted 4 days ago


Job description

Salary:

JUNIOR DATA ENGINEER

REMOTE


Overview


Kalani Consulting, Inc. is a multi-award-winning small business based in Northern Virginia, proudly supporting federal government clients through expert Information Technology and Management Consulting services. Were an employee-focused company that values hard work, integrity, and excellenceoffering competitive benefits, meaningful opportunities, and a culture rooted in The Aloha Spirit.


Responsibilities

  • Engineer, build and maintain scalable automated data pipelines.
  • Build cloud data solutions and provide domain perspective on storage, big data platform services, serverless architecture, RDBMS, DW/DM, NoSQL databases and security.
  • Deploy, automate, maintain, and manage cloud-based production system, to ensure the availability, performance, scalability, and security of productions systems.
  • Implement best practices in management of data, including master data, reference data, metadata, data quality and lineage.
  • Support regular and ad-hoc data querying and analysis to understand customer behaviors.

Qualifications

  • BA or BS degree in CS, Information Systems, or related field.
  • Experience developing and deploying ETL pipelines using Apache Spark and/or Databricks.
  • Experience in SQL and/or Spark SQL.
  • Familiarity with Informatica a plus.
  • Knowledge of dimensional models in data warehouses.
  • Experience working on loading data to the Star Schema.

Preferred Qualification

  • Knowledge of and experience with automated testing.
  • Knowledge and experience of deployment of Spark Notebooks.

Clearance Requirement

Must be US Citizen with the ability to obtain and maintain a US Public Trust Suitability.


Kalani Consulting, Inc. is an equal opportunity employer that values the strength diversity brings to the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.