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Junior Data Engineer Jobs (NOW HIRING)

SWBC

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 ...

Artefact

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 ...

NextPhase.ai

Data Engineer

San Mateo, CA

$130K - $156K/yr

Looking for Junior Data Engineer with 1-2 years of experience Data Engineering & ETL Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest, transform, and deliver data ...

Syntricate Technologies

Data Engineer /Data tester

Tempe, AZ · On-site

$111K - $133K/yr

Position- Data Engineer /Data tester (either jr. Data Tester or Jr. Data engineer both will work Azure exp is must to have) Duration-Contract w2 Location- Tempe, AZ JD Minimum Qualifications ...

Nastech Global

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 ...

Kanak Elite Services Inc

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Educates and develops junior data engineers on the team while applying quality control to their work. Develops data engineering standards and contributes expertise to other data expert teams across ...

Accenture

MDM Junior Data Engineer

New Orleans, LA · Hybrid

Summary As a Junior MDM Data Engineer at Avanade, you'll design and deliver enterprise Master Data Management solutions on the Microsoft data platform, creating trusted, governed master data for ...

Analytica

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels--from junior to senior--to join our growing team and support the design and development of scalable data platforms and analytics ...

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How much do junior data engineer jobs pay per year?

As of Jun 10, 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 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 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.

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.

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Junior DATA Engineer jobs near you
Junior Data Engineer

Junior Data Engineer

SWBC

San Antonio, TX • On-site

$103K - $124K/yr

Full-time

Posted 27 days ago

SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
SWBC is seeking a talented individual to join their dynamic Data team. The ideal candidate will gain hands-on experience building and maintaining data solutions that support real business needs, while working closely with cross-functional teams to support data-driven projects.
Responsibilities:
• 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.
Qualifications:
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 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.
Preferred:
• Cloud certifications (AWS, Azure, or GCP) preferred.
• Experience working in Agile/Scrum development environments.
Company:
SWBC is a provider of insurance, mortgage, and investment services to financial institutions, businesses, and individuals. Founded in 1976, the company is headquartered in San Antonio, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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