Lead Sr Software Engineer

Swift Hire LLC; Dallas (TX); Remote; USD 140,000 - 190,000; Full time

Job summary

Swift Hire LLC is seeking a Lead Sr Software Engineer to architect and implement solutions on the Cloudera Hadoop stack. This role is remote with responsibilities spanning design, testing, migration to AWS, and mentoring the team.

The ideal candidate has 10+ years of enterprise design patterns in Hadoop and Big Data on AWS, with hands-on Cloudera stack experience and Bash scripting skills. Strong communication with executive leadership is required.

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Information Systems, or related field.

Responsibilities

• Design and develop high quality, maintainable software modules for the product suite.
• Conduct unit and integration testing using appropriate methodology and techniques.
• Analyze requirements and specifications and create detailed designs for implementation.
• Analyze and resolve software related issues originated from internal or external customers.
• Continuously update professional knowledge of new technologies as selected and integrated into the product suite.
• Change control.
• Mentor team members in proper software engineering methods and techniques.

Skills

Executive communication

Education

Bachelor's degree in Computer Science / IT / Information Systems or related field

Tools

Cloudera Hadoop stack (HDFS, Hive, Spark, Oozie, Python)

Shell scripting (Bash)

AWS data services (EMR, Airflow, Glue, Lambda)

Job description

Job Title: Lead Sr Software Engineer (Cloudera Hadoop Stack) - REMOTE

Location: Remote

Additional Requirement: Must be able to effectively communicate with executive leadership.

Responsibilities

• Design and develop high quality, maintainable software modules for the, product suite.
• Conduct unit and integration testing using appropriate methodology and techniques.
• Analyze requirements and specifications and create detailed designs for implementation.
• Analyze and resolve software related issues originated from internal or external customers.
• Continuously update professional knowledge of new technologies as selected and integrated into the product suite.
• Change control.
• Enter, transcribe, record, store and maintain information in both written and electronic form.
• Review software engineering approach to proposed solutions to ensure adherence to best practice.
• Mentor team members in proper software engineering methods and techniques.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as Required.
• Must be able to perform duties with or without reasonable accomodation.
• This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required.
• This job description does not constitute an employment agreement and is subject to change as the needs of requirements of the job change.

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Information Systems, or related field.
• 10+ years of experience with enterprise and application design patterns that are applied on Hadoop and Big data platforms in aws.
• The ideal candidate will possess deep expertise in both on-premises Hadoop ecosystems and modern cloud-native big data solutions on AWS.
• Hands-on experience with Cloudera Hadoop stack (HDFS, Hive, Spark, Oozie, Python).
• Proficiency in writing, maintaining, and troubleshooting shell scripts (Bash or similar) for automation and operational support.

Migration to AWS

• Analyze existing Cloudera Hadoop architecture, workflows, and data pipelines.
• Develop a comprehensive migration strategy to transfer data, processing logic, and applications to AWS services.
• Design target architecture using AWS big data services such as Amazon EMR, Airflow, Glue, Lambda.
• Evaluate and select appropriate AWS tools for data ingestion, storage, processing, and analytics.
• Oversee the migration process, including data transfer, application re-platforming, and validation.
• Ensure the new architecture meets performance, scalability, reliability, and security requirements.
• Collaborate with developers, data engineers, DevOps, and stakeholders to ensure a seamless migration.
• Create detailed technical documentation and migration runbooks.
• Mentor team members on AWS big data best practices.
• Strong understanding of data security, compliance, and governance in the cloud.
• Proven track record of migrating or modernizing big data workloads to AWS.
• Experience with cloud automation and Infrastructure as Code (e.g. Terraform).
• AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Big Data Specialty) are highly desirable.

Additional Skills Required

• Familiarity with xml/json data formats.
• Knowledge of monitoring and logging tools.
• 5+ years of experience with platform engineering tools such as Bitbucket, Gradle, Octopus, Artifactory.

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (often required).
• Knowledge of healthcare data such as claims and entities such as providers, members and their relationship within the framework of a claim.