Entry-Level Data Engineer-BR Jobs in New York, NY at Magnus Technologies Solutions Inc

Manager

?? Job Summary:

We are looking for a motivated Entry-Level Data Engineer to help design, build, and maintain scalable data pipelines and infrastructure. You’ll work closely with data analysts, data scientists, and software engineers to ensure the quality, reliability, and accessibility of data across the organization.

??? Key Responsibilities:

• Assist in building and maintaining ETL/ELT pipelines for structured and unstructured data.

• Support data ingestion from APIs, databases, and third-party sources.

• Write and optimize SQL queries to extract and transform data efficiently.

• Help manage and monitor data warehouses and data lakes (e.g., Snowflake, BigQuery, Redshift).

• Clean, validate, and organize raw data into usable formats.

• Collaborate with stakeholders to understand data needs and support analytics use cases.

• Document data pipelines, transformations, and data models.

?? Basic Qualifications:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

• Basic proficiency in SQL and one programming language (e.g., Python or Java).

• Understanding of data structures, databases, and data modeling.

• Familiarity with cloud platforms like AWS, Azure, or GCP is a plus.

• Strong analytical thinking and attention to detail.

• Willingness to learn new tools and work in a fast-paced, data-driven environment.

? Nice to Have:

• Exposure to ETL tools (e.g., Apache Airflow, Talend, dbt).

• Knowledge of data warehousing concepts.

• Familiarity with big data technologies like Spark, Hadoop, or Kafka.

• Experience with APIs and data integration tools.

• Internships or academic projects involving large datasets or data pipelines.

?? What We Offer:

• Mentorship and support from experienced data engineers.

• Access to modern data engineering tools and cloud environments.

• Real-world projects with meaningful business impact.

• Learning opportunities and career growth into senior data roles.

• Collaborative, flexible, and inclusive work culture.