3941 IT & Software Developer jobs in the US
Senior Data Engineer - Java Spring Boot, AWS
$136,800 - 150,600
Eliassen Group
Farnum Pike 379, Smithfield
$136,800 - 150,600
Requirements
Must:
- Over 10 years of experience in data engineering or a similar discipline
- Proficiency in SQL for data querying and validation, including optimization and performance tuning
- Advanced skills in SnowSQL and familiarity with Snowflake databases
- Demonstrated expertise with AWS services, particularly Batch and S3
- At least 5 years of experience in developing ETL applications using Java and Spring Batch
- Experience with job scheduling tools, especially Control-M preferred
- Strong data analysis capabilities and extensive data modeling experience in Dimensional or Data Vault models
- Familiarity with DevOps and CI/CD tools such as Maven, Jenkins, Git/Stash, Ansible, and Docker
- Background with Agile methodologies including Kanban and Scrum
- Ability to thrive in ambiguous environments and deliver results in a high-paced setting, possessing strong interpersonal skills
- Preferred: Experience in Python development
- Preferred: Knowledge of containerization, CI/CD pipelines, and AWS Lambda development
- Preferred: In-depth Snowflake expertise beyond fundamental usage
- Preferred: Financial domain experience
- Note: ETL experience must be in Java Spring Batch; Informatica-only ETL experience is not relevant for this position.
Responsibilities
- Collaborate with technology stakeholders to gather requirements and propose solutions
- Design technical solutions that are scalable and aligned with business objectives and architecture roadmap
- Apply test-driven development and continuous integration and delivery practices as part of DevOps
- Manage workload effectively to meet deadlines in a fast-paced environment while maintaining quality
- Adjust to new technologies and identify areas of technical debt, proposing remediation strategies
- Oversee production rollout operations for both operational and analytical databases
- Foster clear communication and collaboration with extended teams across various squads.
Description
We are seeking a Senior Data Engineer to join our Data Solutions team, emphasizing Java Spring Batch ETL, AWS, and Snowflake technologies to support vital compensation data initiatives. Our role will contribute to creating scalable data solutions and enhancing analytical capabilities, providing visibility to executive leadership. This is a W2 engagement with the possibility of a multi-year contract, requiring our applicants to work on a W2 basis. For our W2 consultants, we offer a comprehensive benefits package, including medical, dental, and vision coverage, a 401(k) with company matching, and life insurance. Our company, Eliassen Group, is a leading strategic consulting firm with over 30 years of experience, dedicated to driving growth and innovation for our clients while maintaining a strong community presence.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 3941 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
Space Ops Inc., Decisive Dividend Corporation, D3 Security Management Systems, GINGER Telecom, Gatestone & Co. Inc, GE Aerospace, IntouchCX among others, are currently hiring for Data roles in the United States.
The company with most openings is Judge Group, Inc. as they are hiring for 296 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Judge Group, Inc. as they are hiring for 296 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.