Junior Data Engineer (Spark, Hadoop, SQL) – Boston, Massachusetts

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🚀 Junior Data Engineer – Boston, Massachusetts

We are currently seeking a motivated and detail-oriented Junior Data Engineer to join our growing data team in Boston. This is an excellent opportunity for entry-level professionals or recent graduates who are passionate about working with large datasets, building scalable data pipelines, and developing strong expertise in modern data engineering tools and technologies.

As a Junior Data Engineer, you will play a key role in designing, developing, and maintaining data pipelines that support business intelligence, analytics, and data-driven decision-making. You will work closely with senior data engineers, data analysts, and cross-functional teams to ensure data is accurate, reliable, and accessible.

🔧 Key Responsibilities
Design, build, and maintain ETL (Extract, Transform, Load) pipelines to process large volumes of structured and unstructured data
Work with big data technologies such as Apache Spark and Hadoop to handle distributed data processing
Write efficient and optimized SQL queries for data extraction and transformation
Assist in data modeling, data warehousing, and database design
Monitor and troubleshoot data pipelines to ensure data quality and consistency
Collaborate with data analysts and business teams to understand data requirements and deliver solutions
Perform data validation, cleansing, and transformation tasks
Support the migration of data workflows to cloud platforms if required (AWS, Azure, or GCP exposure is a plus)
Document data processes, workflows, and pipeline architectures

✅ Required Skills & Qualifications
Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field
Basic to intermediate knowledge of SQL and relational databases
Familiarity with Apache Spark, Hadoop, or other big data tools
Understanding of ETL processes and data pipeline architecture
Knowledge of programming languages such as Python or Java is a plus
Strong analytical thinking and problem-solving skills
Good communication and teamwork abilities
Ability to learn quickly and adapt to new technologies

🌟 Preferred Qualifications (Nice to Have)
Hands-on experience with cloud platforms like AWS, Azure, or GCP
Exposure to tools like Airflow, Kafka, or similar data pipeline orchestration tools
Understanding of data warehousing concepts (Snowflake, Redshift, BigQuery, etc.)
Internship or project experience in data engineering or data analytics

💼 Why Join Us?
Opportunity to work with modern data technologies and real-world datasets
Supportive team environment with learning and growth opportunities
Hands-on experience with large-scale data processing systems
Career growth path into Senior Data Engineer, Data Scientist, or Big Data Specialist roles

📩 How to Apply
If you are passionate about building a career in data engineering and want to work in a dynamic environment, we would love to hear from you!

👉 Send your updated resume to: devanshjpitstaffing@gmail.com