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Junior Data Engineering Jobs (NOW HIRING)

Our client, a top-tier Management Consulting firm, is seeking a highly skilled Jr. Data Engineer - IICS to support a Top-tier US Brokrage firm . Responsibilities and Requirements: * +2 years of ...

Data Engineer

Tampa, FL ยท On-site

$104K - $125K/yr

Stay updated with industry trends and best practices in data engineering and visualization. * Mentor junior data engineers and provide guidance on best practices in data management and visualization.

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... This is not primarily an engineering role, though the ideal candidate will possess data engineering ...

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... This is not primarily an engineering role, though the ideal candidate will possess data engineering ...

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... This is not primarily an engineering role, though the ideal candidate will possess data engineering ...

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... This is not primarily an engineering role, though the ideal candidate will possess data engineering ...

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... This is not primarily an engineering role, though the ideal candidate will possess data engineering ...

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Junior Data Engineering information

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$33.5K

$71.8K

$109.5K

How much do junior data engineering jobs pay per year?

As of Jul 10, 2026, the average yearly pay for junior data engineering 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 is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
More about Junior Data Engineering jobs
What cities are hiring for Junior Data Engineering jobs? Cities with the most Junior Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Junior Data Engineering jobs? States with the most job openings for Junior Data Engineering jobs include:
Infographic showing various Junior Data Engineering 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 5 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.