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Junior Data Engineer Jobs (NOW HIRING)

Junior Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions that support real business needs. In this role, you will learn how to build and maintain data ...

Junior Data Engineer

San Antonio, TX

$103K - $124K/yr

As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions that support real business needs. In this role, you will learn how to build and maintain data ...

Job Title - Jr. Data Engineer - IICS Location - 5 Days onsite in McLean, VA, Locals only. Visa - No H1B & OPT Duration - 6 Months Rate - $45-50/hr on W2 Interview - in-person Client - Freddie Mac ...

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Tata Consultancy Services is seeking a Junior Data Engineer to join their team. The role involves designing, developing, and maintaining scalable ETL/ELT pipelines, as well as collaborating with ...

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Tata Consultancy Services is seeking a Junior Data Engineer to join their team. The role involves designing, developing, and maintaining scalable ETL/ELT pipelines to process data, as well as ...

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Tata Consultancy Services is seeking a Junior Data Engineer to join their team. The role involves designing, developing, and maintaining scalable ETL/ELT pipelines, as well as collaborating with ...

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Junior Data Engineer to join our Information Technology team. This position will work ...

... based Junior Data Engineerto join our Information Technology team. This position will work on a ... Internship experience in Data or Software Engineering; * Knowledge of developing dimensional data ...

Jr. Data Engineer (Scala)

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer (Scala) Junior Location: Charlotte, NC Duration: Long-Term Contract Visa: Open to all work-authorized candidates. Required Skills * Strong hands-on experience with Scala (Mandatory)

Job Opening: Entry-Level Software Programmers, IT Enthusiasts, Python/Java Developers, Data Analysts/Data Scientists SYNERGISTICIT wants every candidate to know that the job market is challenging and ...

Junior Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Required : • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related field. • Minimal one to three years' experience. • Minimum one (1) year proven experience ...

Junior Data Engineer - (Canada-based)

North, SC · Hybrid

$106K - $127K/yr

Our Opportunity Responsibilities We are looking for a Jr. Data Engineer to join our dynamic team. This role is ideal for someone with understanding of data engineering and a proven track record of ...

Be Seen First

Design and implement data models, schemas, and structures optimized for AI/LLM consumption * Design and maintain data models, schemas, and pipelines (ETL/ELT) for structured and unstructured data

Data Engineer

Tampa, FL · On-site

$104K - $125K/yr

Mentor junior data engineers and provide guidance on best practices in data management and visualization. RequirementsRequired Skills: * Strong expertise in Tableau Prep Flow & Tableau Desktop for ...

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

... and support junior data engineers through code reviews, design sessions, and technical leadership. • Document data flows, definitions, models, and architecture for internal stakeholders and ...

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Junior Data Engineer information

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$33.5K

$71.8K

$109.5K

How much do junior data engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for junior data engineer 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 engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of project success.

What is a Junior Data Engineer job?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What do junior data engineers do?

Junior data engineers assist in designing, building, and maintaining data pipelines and databases to ensure data is accessible and reliable for analysis. They often work with tools like SQL, Python, and cloud platforms, and may support data cleaning, integration, and troubleshooting under the supervision of senior engineers.

Will AI replace Data Engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. While AI tools can automate certain tasks like data cleaning and analysis, data engineers are essential for managing complex systems, ensuring data quality, and integrating new technologies. Skills in programming, cloud platforms, and data architecture remain critical in this evolving field.

What are some typical responsibilities of a Junior Data Engineer in their day-to-day work?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

Can I make 200K as a Data Engineer?

Senior Data Engineers with extensive experience, advanced skills in tools like Spark and cloud platforms, and certifications can reach or exceed a 200K salary in many regions. Entry-level or junior Data Engineers typically earn lower salaries, with compensation increasing with expertise, location, and industry demand.

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

To thrive as a Junior Data Engineer, you need a foundational knowledge of programming (especially Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Experience with ETL tools, cloud platforms (like AWS or Azure), and data warehousing solutions, as well as relevant certifications, is highly beneficial. Attention to detail, effective communication, and a collaborative mindset are valuable soft skills that set candidates apart. These skills are crucial for building reliable data pipelines, ensuring data integrity, and working efficiently in data-driven teams.

More about Junior Data Engineer jobs
What cities are hiring for Junior Data Engineer jobs? Cities with the most Junior Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Junior Data Engineer jobs? States with the most job openings for Junior Data Engineer jobs include:
Infographic showing various Junior Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 87% Full Time, 1% Part Time, and 11% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.
Junior Data Engineer

Junior Data Engineer

SWBC

San Antonio, TX • On-site

$103K - $124K/yr

Full-time

Medical, Retirement

Posted 16 hours ago


SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

SWBC is seeking a talented individual to join our dynamic Data team. The ideal candidate will have some experience in building and maintaining data pipelines, exposure to AI-ready datasets, machine learning, and a focus on cloud-based data warehouses such as Snowflake or Redshift. This role offers an exciting opportunity to work with cutting-edge technologies and drive impactful data-driven solutions.
Why you'll love this role:
As a Junior Data Engineer, you'll gain hands-on experience building and maintaining data solutions that support real business needs. In this role, you will learn how to build and maintain data pipelines with guidance from experienced team members, work closely with cross-functional teams to support data-driven projects, assist in improving data quality, performance, and reliability and gain exposure to modern data tools, technologies, and automation practices. We provide a supportive, team-oriented environment where you'll receive mentorship and opportunities to grow your technical and professional skills. Our team values collaboration, curiosity, and continuous learning, and we celebrate both progress and success along the way. If you're motivated, detail-oriented, and excited to launch your career in data engineering, we'd love you to join our team.
Essential duties include the following:
  • Designs, develops, and maintains scalable, secure, and cost-efficient data pipelines to ingest, transform, and serve structured and unstructured data for analytics, ML, and AI workloads.
  • Builds and manages cloud-native data architectures (data warehouse, lakehouse, and streaming) that support BI, advanced analytics, and machine learning.
  • Implementing modern ingestion and ELT pipelines using tools such as Openflow, Snowpipe-style services, and third-party ingestion frameworks.
  • Collaborates with data scientists, ML engineers, and business stakeholders to understand feature, training, and inference data requirements.
  • Develops and maintains high-quality, AI-ready datasets, including feature tables, historical snapshots, and time-aware datasets for model training.
  • Implementing and enforces data quality, data validation, and data observability controls critical for downstream analytics and AI reliability.
  • Designs and evolves enterprise-scale data models, including canonical, analytical, and feature-oriented schemas.
  • Optimizing pipelines for performance, reliability, scalability, and cost across batch and near-real-time workloads.
  • Enables access to curated data for GenAI use cases, including text datasets, embeddings, and metadata supporting search and retrieval patterns.
  • Applies data governance, security, and privacy best practices to ensure trusted and compliant data usage for analytics and AI.
  • Stays current with emerging technologies and best practices in data engineering, cloud platforms, and AI-related data infrastructure.

Serious candidates will possess the minimum qualifications:
  • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related field. Minimal one to three years' experience.
  • Minimum one (1) year proven experience with knowledge of modern data warehousing best practices.
  • Advanced proficiency in SQL and experience with databases such as PostgreSQL, MySQL, Snowflake, Redshift, or similar platforms.
  • Hands-on experience building cloud-based data pipelines.
  • Experience with orchestration tools such as Airflow, AWS Step Functions, or similar.
  • Strong understanding of data modeling, ELT/ETL patterns, and data quality frameworks.
  • Excellent problem-solving, communication, and collaboration skills.
  • Proficiency in Python, Java, or Scala, particularly for data transformation and pipeline development.
  • Experience enabling machine learning data pipelines, including feature engineering and training data preparation.
  • Familiarity with feature stores, vector databases, or AI-related data architectures.
  • Experience with modern ingestion and transformation tools, including Openflow, DBT, AWS Glue, SSIS, Fivetran, and Lambda-based pipelines.
  • Exposure to MLOps concepts, such as data versioning, lineage, and reproducible pipelines.
  • Cloud certifications (AWS, Azure, or GCP) preferred.
  • Experience working in Agile/Scrum development environments.

SWBC offers*:
  • Competitive overall compensation package
  • Work/Life balance
  • Employee engagement activities and recognition awards
  • Years of Service awards
  • Career enhancement and growth opportunities
  • Leadership Academy and Mentor Program
  • Continuing education and career certifications
  • Variety of healthcare coverage options
  • Traditional and Roth 401(k) retirement plans
  • Lucrative Wellness Program

*Based upon employee eligibility
Additional Information:
SWBC is a Substance-Free Workplace and requires pre-employment drug testing.
Please note, SWBC does not hire tobacco users as allowed by law.
To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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