Jr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Jr. Data Engineer with 4-5 years of IT experience, including 3 years in Big Data solutions. Key skills include Spark, Scala, AWS Glue, and SQL. Experience in financial services, particularly investment accounting, is preferred. Contract length and pay rate unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 26, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Boston, MA
🧠 - Skills detailed
#Spark (Apache Spark) #SQL (Structured Query Language) #AWS Glue #Scala #Programming #Code Reviews #Amazon Redshift #AWS (Amazon Web Services) #Big Data #Python #Data Engineering #Java #Redshift #Unit Testing #Documentation #Lambda (AWS Lambda)
Role description
Position Title: Jr. Data Engineer (Life and Annuity)
Position Overview:
We are seeking a Junior Data Engineer with experience in the Life and Annuity domain. The ideal candidate will have a solid foundation in Big Data technologies, hands-on development experience, and a strong understanding of financial services-particularly investment accounting functions.
General Duties and Responsibilities:
• Provide input on architectural decisions and participate in design workshops.
• Create integration and application technical design documentation.
• Conduct peer reviews of functional design documentation.
• Offer guidance on intended solutions and development best practices during configuration and testing phases.
• Develop, configure, and perform unit testing on high-complexity components.
• Conduct code reviews to ensure adherence to standards and practices.
• Troubleshoot and resolve complex defects during testing.
• Support performance testing and provide recommendations for optimization.
• Advise on infrastructure and environment setup.
• Assist in production support and environment tuning.
Minimum Skills Required:
• 4–5 years of overall IT experience.
• Minimum 3 years of hands-on experience designing and developing end-to-end Big Data solutions.
• Expertise in Spark, Scala, AWS Glue, Lambda.
• Strong programming experience in Java, Scala, or Python.
• Proficient in SQL, preferably with Amazon Redshift.
• Experience in financial services and investment accounting functions is highly preferred.
• Familiarity with investment regulatory requirements/reporting is a plus.
Position Title: Jr. Data Engineer (Life and Annuity)
Position Overview:
We are seeking a Junior Data Engineer with experience in the Life and Annuity domain. The ideal candidate will have a solid foundation in Big Data technologies, hands-on development experience, and a strong understanding of financial services-particularly investment accounting functions.
General Duties and Responsibilities:
• Provide input on architectural decisions and participate in design workshops.
• Create integration and application technical design documentation.
• Conduct peer reviews of functional design documentation.
• Offer guidance on intended solutions and development best practices during configuration and testing phases.
• Develop, configure, and perform unit testing on high-complexity components.
• Conduct code reviews to ensure adherence to standards and practices.
• Troubleshoot and resolve complex defects during testing.
• Support performance testing and provide recommendations for optimization.
• Advise on infrastructure and environment setup.
• Assist in production support and environment tuning.
Minimum Skills Required:
• 4–5 years of overall IT experience.
• Minimum 3 years of hands-on experience designing and developing end-to-end Big Data solutions.
• Expertise in Spark, Scala, AWS Glue, Lambda.
• Strong programming experience in Java, Scala, or Python.
• Proficient in SQL, preferably with Amazon Redshift.
• Experience in financial services and investment accounting functions is highly preferred.
• Familiarity with investment regulatory requirements/reporting is a plus.
