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Junior Data Engineering Jobs (NOW HIRING)

Jr. Data Engineer | ONSITE

Dallas, TX

$113K - $136K/yr

Junior data engineer with Palantir Ontology experience. Minimum Qualifications ... Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS ...

Everforth ECS is seeking a Junior Data Engineer to work in the National Capital Region covering the ... This is an entry-level engineering position well-suited for early-career professionals seeking ...

Role: Junior Data Engineer Location: Wilmington, DE (Hybrid - 3 days onsite) Duration: 6+ month ... Perform hands-on data engineering tasks including scripting, debugging, and pipeline enhancements.

Looking for a Junior Data Engineer based in US, Must have 1-2 years of experiance with Python.

We have a need for a Jr. Data Engineer. You must be able to accept w2 employment without sponsorship now or in the future. Please send your resume to Jr. Data Engineer. Snowflake, DBT Roles ...

Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance Required: Active Secret Job Summary The Junior Data Engineer supports system-specific implementations that enable ...

Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance Required: Active Secret Job Summary The Junior Data Engineer supports system-specific implementations that enable ...

Data Engineering & Architecture Consulting Travel Required: Up to 10% Clearance Required: Active Secret Job Summary The Junior Data Engineer supports system-specific implementations that enable ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or ...

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

The ideal candidate will lead data engineering efforts, mentor junior engineers, and collaborate with cross-functional teams to deliver scalable and secure data platforms. Key Responsibilities * Lead ...

Jr. Data Engineer

Ferndale, WA · On-site +1

$84K - $117K/yr

Job Title: Jr. Data Engineer * Work Location: Remote position- Required 1 week of training at our ... If you thrive at the intersection of engineering rigor and data science innovation, this one's for ...

Job Title: Jr. Data Engineer * Work Location: Remote position- Required 1 week of training at our ... If you thrive at the intersection of engineering rigor and data science innovation, this one's for ...

Junior Data Engineer

Murphy, TX · On-site

$109K - $131K/yr

Junior Data Engineer Location: Plano, TX/ San Antonio, TX/ Phoenix, AZ(ONSITE) Fulltime Must Have Technical/Functional Skills Snowflake, DBT Roles & Responsibilities * Design, develop, and maintain ...

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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 Jun 19, 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:
What job categories do people searching Junior Data Engineering jobs look for? The top searched job categories for Junior Data Engineering jobs are:
Infographic showing various Junior Data Engineering job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.
Jr. Data Engineer | ONSITE

Jr. Data Engineer | ONSITE

Samprasoft

Dallas, TX

$113K - $136K/yr

Other

Posted 9 days ago


Job description

Junior Data Engineer

Work Location: ONSITE - Dallas, TX

Description: Junior data engineer with Palantir Ontology experience.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
  • 3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
  • 3 years data analytics experience using SQL
  • 2 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.

Combination of Development, Administration & Support experience in several of the following tools/platforms required:

  • Scripting: Python, Java, Go, Rust, Typescript, Spark, Unix, SQL
  • Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Palantir Ontology, Administration skills a plus
  • Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
  • CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
  • BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
  • Clear understanding on Data Warehousing concept
  • Data Governance and Privacy: Informatica Axon and EDC, BigID
  • Orchestration: Azure Data Factory, Tivoli

Preferred Qualifications:

  • 2+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
  • 2+ years data analytics experience using SQL
  • 2 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Palantir Ontology
  • Palantir Ontology and Airline Industry Experience in a plus Skills, Licenses & Certifications
  • Palantir Ontology certification
  • Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation
  • Expertise in providing practical direction within the Azure Native cloud services.