Senior Associate Software Developer – Intelligent Systems & Integrations
McKesson
ApacheAWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformJavaJavaScriptKafkaKubernetes+5 more
Senior Software Engineer, Data Platform
Credit Acceptance
full-time
Posted on:
Location Type: Hybrid
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $130,047 - $190,735 per year
Job Level
Senior
Tech Stack
AWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformJavaKubernetesNoSQLPythonScalaSplunk
About the role
- Design and implement core components of the data platform (e.g., data lake, streaming infrastructure, DaaS, catalog), emphasizing scalability, reliability, and observability.
- Balance hands-on delivery with architectural foresight, contributing to cross-functional initiatives that strengthen the platform.
- Partner with data and engineering stakeholders to understand requirements and deliver effective, efficient solutions for data acquisition, transformation, and integration.
- Write unit and integration tests, validating software against acceptance criteria to ensure platform reliability.
- Apply and promote team standards for coding, documentation, and testing, ensuring maintainable and high-quality engineering practices.
- Conduct impact analysis to identify dependencies and assess potential risks of changes across applications and services.
- Develop a strong understanding of platform use cases and business processes to align technical solutions with organizational needs.
- Experiment with new tools and approaches, validate assumptions, and recommend solutions that improve the platform’s capabilities.
- Participate in design and code reviews, providing constructive feedback and communicating changes effectively.
- Document platform components and designs, ensuring projects are maintainable and understandable by others.
- Troubleshoot and resolve production issues, proposing effective solutions to restore platform stability.
- Contribute to sprint commitments and actively engage in Agile practices, including retrospectives and process improvements.
- Engage in continuous learning, deepening knowledge of modern data platform technologies, distributed systems, and engineering best practices.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a closely related field; or equivalent work experience
- Minimum 5 years of software engineering experience, with recent hands-on experience building and maintaining data platforms or distributed systems in cloud environments
- Strong knowledge of software engineering best practices, with practical experience building and operating data platforms, products, or solutions
- Experience 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 ability 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
- 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
Benefits
- 401(K) match
- Adoption assistance
- Parental leave
- Tuition reimbursement
- Comprehensive medical/dental/vision
- Flexible work options including remote and hybrid positions
- Competitive market-based salary with bonus compensation
- Generous PTO and holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data platform designdata lakestreaming infrastructureDaaSunit testingintegration testingcloud platformscontainerizationprogramming in Pythonprogramming in Java
Soft skills
architectural foresightcross-functional collaborationconstructive feedbackcontinuous learningmentoringcommunicationproblem-solvingteam growthprocess improvementdocumentation
