Sr. Data Engineer for FIG
Role details
Job location
Tech stack
Job description
job summary: Domain-specific experience in insurance policy administration software ecosystems a plus - designing, implementing, and maintaining systems that support annuities and term life insurance operations such as policy administration, underwriting and claims processing
High level of engagement at the team and group levels, desire to learn and impact outside your primary tasking
Ability to communicate effectively with both technical and business stakeholders
location: Westlake, Texas job type: Contract salary: $70 - 71 per hour work hours: 8am to 5pm education: Bachelors
responsibilities:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, Data Science & Analytics, or a related field
- 5+ years of experience in data engineering role(s)
- Expertise in working with relational databases (SQL, Postgres, Oracle)
- Expertise and demonstrated experience using SQL to retrieve and manipulate data
- Event Drive Architecture
- Strong hands-on experience with event-driven architecture, including the design and implementation of asynchronous, decoupled systems
- Experience with event and messaging frameworks, including AWS SQS, Apache Kafka, and ActiveMQ
- Experience designing and implementing event producers and consumers, including message routing, retries, error handling, durability, and idempotent processing
- Experience leveraging event-driven workflows to automate data ingestion, transformation, and system integrations
qualifications: Experience with AWS cloud technology (Lambda, EC2, S3, RDS, API Gateway, CloudFormation, Event Bridge, SQS)
Experience with ETL tooling, preferably Informatica
Experience with infrastructure as code technologies, specifically Terraform and Cloud Formation
Working knowledge of microservices and RESTful APIs
Strong Proficiency in Python, with familiarity in other back-end languages (Node.js, Java)
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.
,
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, Data Science & Analytics, or a related field
- 5+ years of experience in data engineering role(s)
- Expertise in working with relational databases (SQL, Postgres, Oracle)
- Expertise and demonstrated experience using SQL to retrieve and manipulate data
- Event Drive Architecture
- Strong hands-on experience with event-driven architecture, including the design and implementation of asynchronous, decoupled systems
- Experience with event and messaging frameworks, including AWS SQS, Apache Kafka, and ActiveMQ
- Experience designing and implementing event producers and consumers, including message routing, retries, error handling, durability, and idempotent processing
- Experience leveraging event-driven workflows to automate data ingestion, transformation, and system integrations
Requirements
Experience with AWS cloud technology (Lambda, EC2, S3, RDS, API Gateway, CloudFormation, Event Bridge, SQS) Experience with ETL tooling, preferably Informatica Experience with infrastructure as code technologies, specifically Terraform and Cloud Formation Working knowledge of microservices and RESTful APIs Strong Proficiency in Python, with familiarity in other back-end languages (Node.js, Java)