Jr. Data Engineer

job summary: Support development and maintenance of Enterprise Data Lake (EDL) pipelines.

Assist with data sourcing, profiling, cleansing, and validation activities.

Develop and maintain SQL queries and data transformations.

Document data flows, requirements, and technical designs.

Support AI and analytics initiatives by preparing quality datasets.

Collaborate with engineers, architects, product owners, and offshore teams.

Monitor and troubleshoot data pipeline issues.

location: Durham, North Carolina job type: Contract salary: $55 - 56 per hour work hours: 8am to 5pm education: Bachelors

responsibilities:

• 3-5 years of experience in data engineering, data analysis, software engineering, internships, or related projects.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field.
• Basic understanding of databases and SQL.
• Interest in cloud technologies, AI, and machine learning.

qualifications: Working knowledge of SQL and database fundamentals.

Understanding of data quality, data transformation, and ETL/ELT concepts.

Exposure to Snowflake, PostgreSQL, Oracle, DynamoDB, AWS, or similar platforms.

Strong analytical and problem-solving skills.

Effective written and verbal communication skills.

Ability to work harmoniously in Agile teams.

Curiosity, self-motivation, and willingness to learn.

skills: Agile,DynamoDB,AWS,AI,AI and machine learning,cloud technologies,data analysis,Data Analytics,data pipeline,data transformation,data transformations,visualization tools,database,Document data,Enterprise Data,ETL,data engineering,Information Systems,Computer Science,machine learning,Oracle,PostgreSQL,Power BI,profiling,Python,SQL queries,SQL,Snowflake,software engineering,knowledge of SQL,Tableau,Effective written and verbal communication,Curiosity,willingness to learn,Strong analytical and problem-solving skills,troubleshoot,self-motivation,analytics initiatives,data sourcing,data quality,healthcare,financial services,maintenance,offshore

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

,

• 3-5 years of experience in data engineering, data analysis, software engineering, internships, or related projects.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field.
• Basic understanding of databases and SQL.
• Interest in cloud technologies, AI, and machine learning.

Agile,DynamoDB,AWS,AI,AI and machine learning,cloud technologies,data analysis,Data Analytics,data pipeline,data transformation,data transformations,visualization tools,database,Document data,Enterprise Data,ETL,data engineering,Information Systems,Computer Science,machine learning,Oracle,PostgreSQL,Power BI,profiling,Python,SQL queries,SQL,Snowflake,software engineering,knowledge of SQL,Tableau,Effective written and verbal communication,Curiosity,willingness to learn,Strong analytical and problem-solving skills,troubleshoot,self-motivation,analytics initiatives,data sourcing,data quality,healthcare,financial services,maintenance,offshore