1671 IT & Software Developer jobs in the US
Senior Software Engineer, Data Platform
$130,047 - 190,735
Credit Acceptance Corporation
Mitchell Street SW 68, Atlanta
$130,047 - 190,735
Requirements
Must:
- Bachelors degree in Computer Science, Information Systems, or a related field; or equivalent professional experience
- Minimum of 5 years of software engineering experience, particularly in developing and managing data platforms or distributed systems in cloud environments
- Strong understanding of software engineering best practices with hands-on experience in building and operating data platforms or products
- Experience with cloud platforms (e.g., AWS, Azure, or GCP) including the deployment and support of containerized services (Docker, Kubernetes, ECS/EKS)
- Familiarity with lakehouse concepts (Delta Lake, Iceberg, Hudi) and schema practices including versioning and optimization
- Knowledge of observability practices, including tools (e.g., Dynatrace, Splunk, CloudWatch)
- Proficiency with data storage technologies relevant to data platforms, such as object stores (S3, ADLS, GCS) and both relational and NoSQL databases
- Understanding of data governance and security principles, including access controls, encryption, and compliance considerations
- Strong grasp of distributed systems concepts, focusing on scalability, reliability, and consistency
- Proficient programming skills in languages commonly used for platform engineering (e.g., Python, Java, Scala, Go)
- Proven ability to mentor and guide junior engineers, fostering team development and technical growth
- Familiarity with Agile methodologies and software development lifecycle practices
- Preferred: Hands-on experience with lakehouse technologies and exposure to workflow orchestration frameworks (e.g., Airflow, Databricks Workflows)
- Preferred: Experience with CI/CD pipelines for testing and deployment automation and debugging performance issues
Responsibilities
- Design and create core components of the data platform, such as data lakes and streaming infrastructure, with a focus on scalability and reliability
- Balance hands-on delivery with architectural vision to enhance cross-functional initiatives
- Collaborate with data and engineering stakeholders to identify needs and implement effective solutions for data handling
- Write unit and integration tests to validate platform reliability against acceptance criteria
- Uphold team coding and documentation standards to ensure maintainable engineering practices
- Conduct impact assessments to identify dependencies and evaluate risks of changes
- Develop a comprehensive understanding of platform use cases and business processes for better alignment of technical solutions
- Experiment with new tools and methodologies, validating results and suggesting enhancements for the platform
- Participate in design and code reviews, giving constructive feedback and conveying changes clearly
- Document platform elements and designs to ensure clarity and maintainability for future developers
- Troubleshoot and resolve production issues, proposing solutions to stabilize the platform
- Contribute to sprint objectives and engage actively in Agile practices, such as retrospectives and process improvements
- Pursue continuous learning to stay updated on modern data platform technologies and engineering best practices
Description
At Credit Acceptance, we take pride in being recognized as an award-winning company with both local and national accolades. Our culture is cultivated by dedicated team members committed to collaboration and professional growth. As one of the largest used car finance companies in the nation, we utilize cutting-edge technology within our Engineering and Analytics teams to enhance our operations. We value work-life balance, encourage open communication, and focus on professional development while maintaining a casual work environment. This role is predominantly remote, with occasional travel required to our Southfield, Michigan office. We offer competitive compensation, including a base salary range and an eligibility for annual bonuses, supplemented by an excellent benefits package.
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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 1671 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?
Snaplii, Novatek International, Multimatic Inc., DataAnnotation, Liberty Software, Philips, Whidbey Telecom among others, are currently hiring for Data roles in the United States.
The company with most openings is Jobot as they are hiring for 271 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Jobot as they are hiring for 271 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.