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Lead Software Developer, Data Infrastructure
$130,047 - 190,735
Credit Acceptance
West 12 Mile Road 25505, Remote + Remote
$130,047 - 190,735
Requirements
Must:
- A Bachelor's degree in Computer Science, Information Systems, or a related field; or equivalent work experience.
- A minimum of 5 years of software engineering experience, with recent practical experience in building and maintaining data platforms or distributed systems in cloud environments.
- Strong knowledge of software engineering best practices, supported by experience in building and operating data platforms, products, or solutions.
- Experience in building and operating applications on cloud platforms (e.g., AWS, Azure, or GCP), including deploying and supporting containerized services (Docker, Kubernetes, ECS/EKS).
- Familiarity with lakehouse principles (Delta Lake, Iceberg, or Hudi) and best practices for schema evolution, versioning, and performance optimization.
- Experience with observability practices (metrics, logs, tracing, alerting) and tools (e.g., Dynatrace, Splunk, CloudWatch) to ensure platform reliability.
- Knowledge of data storage technologies relevant to data platforms, including object stores (S3, ADLS, GCS), relational databases, and NoSQL systems.
- Awareness of data governance and security practices (e.g., access controls, encryption, compliance considerations), with the capability to design platform components that align with organizational standards.
- Solid understanding of distributed systems concepts (scalability, reliability, consistency, partitioning) and their application to data platforms.
- Experience working with enterprise-class applications where uptime, reliability, and scalability are critical.
- Strong programming skills in one or more languages commonly used for platform engineering (e.g., Python, Java, Scala, Go).
- Demonstrated ability to mentor and coach less experienced engineers, contributing to team growth and technical maturity.
- Familiarity with Agile delivery practices and other software development lifecycle methodologies.
Responsibilities
- This role will primarily involve remote work; however, occasional planned travel to our Southfield, Michigan office may be necessary. It is also possible to work from the Michigan office upon request.
- Design and implement essential components of our data platform (e.g., data lake, streaming infrastructure, DaaS, catalog) with a focus on scalability, reliability, and observability.
- Balance hands-on implementation with architectural foresight, contributing to cross-functional projects that enhance the platform.
- Collaborate with data and engineering stakeholders to comprehend requirements and provide effective, efficient solutions for data acquisition, transformation, and integration.
- Write unit and integration tests, validating software against acceptance criteria to ensure reliable performance of the platform.
- Uphold and promote team standards for coding, documentation, and testing to ensure maintainable, high-quality engineering practices.
- Perform impact analysis to identify dependencies and evaluate potential risks of changes across applications and services.
- Develop a comprehensive understanding of platform use cases and business processes to align technical solutions with organizational needs.
- Experiment with new tools and methods, validate assumptions, and propose solutions that enhance the platform’s capabilities.
- Engage in design and code reviews, providing constructive feedback and effectively communicating changes.
- Document platform components and designs to ensure projects are maintainable and comprehensible to others.
- Troubleshoot and resolve production issues, offering effective solutions to restore platform stability.
- Contribute to sprint commitments and actively participate in Agile practices, such as retrospectives and process improvements.
- Pursue continuous learning to deepen knowledge of modern data platform technologies, distributed systems, and engineering best practices.
Description
We are proud to be an award-winning organization recognized nationally and locally in various categories! Our exceptional culture is fostered by our dedicated Team Members who share a commitment to achieving professional success both individually and collectively. With a fantastic product, remarkable personnel, and a robust financial history, we have established ourselves as one of the largest used car finance companies in the nation. Our Engineering and Analytics Team Members leverage cutting-edge technology to develop, oversee, and sustain complex practices that facilitate our success. We encourage our Team Members to embrace challenges, share their ideas, and maintain a healthy work-life balance. By collaborating with all areas of our business, we create intrinsic value, support our success, and make informed strategic decisions. We emphasize professional development and continuous improvement while fostering a relaxed work atmosphere and a Great Place to Work culture! We offer an excellent benefits package, including a 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/dental/vision coverage, and various unique benefits that enhance our workplace. To thrive in this role, our Team Members embrace positivity, resilience, respect through collaboration and active listening, insightful innovation, effective communication, and accountability. We strive to create a safe and inclusive working environment for everyone and proudly uphold our status as an Equal Opportunity Employer.
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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 885 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?
Sperasoft, Bain Magique, Archon Systems Inc, Journey Freight International inc, Puter Technologies Inc., Ontario One Call, HAPLY Robotics Inc. among others, are currently hiring for Data roles in the United States.
The company with most openings is Leidos as they are hiring for 88 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Leidos as they are hiring for 88 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.