Credit Acceptance
Software Engineer II, Data
USA - Remote · Mid
Sponsorship not specified$106k-$153kDetected 10 days ago
PythonExpressCode ReviewSQLNoSQLDatabricksAWSCI/CDAirflowdbtData EngineeringComplianceTest AutomationLeadershipCommunicationCollaboration
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odds of building a lasting career here
57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 318 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories.
- Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team.
- Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country.
Responsibilities
- Shared goals, open communication and mutual support create a sense of collective purpose.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or related field
- Minimum 2 years of data engineering experience
- Experience designing scalable batch and/or streaming data pipelines.
- Strong understanding of data modeling.
- Familiarity with data governance, lineage, and quality frameworks.
- Working knowledge of Databricks
- Knowledge and Skills:
- Attendance as required by department
Nice to have
- Experience with Apache Spark.
- Hands-on experience with AWS data services (e.g., S3, Glue, Lambda, MSK).
- Proficient in CI/CD pipelines, automated testing, code quality enforcement, and environment management for production-grade data systems.
- Experience in orchestration and transformation frameworks such as Airflow, dbt, and Dagster, along with cloud-native platforms like Databricks.
Skills
- Operates with full autonomy on large-scale, complex data projects. Go to for a data domain.
- Anticipates edge cases, performance bottlenecks, and data quality risks
- Ability to challenge the status quo and contribute innovative solutions.
- Strong collaboration skills and openness to diverse perspectives.
- Ability to connect technical work to business value.
- Strong communication skills, both verbal and written, across all levels.
Compensation
- A competitive base salary range from $105,603- $152,884.
- This position is eligible for an annual variable cash bonus, between 7.5 - 15%.
- Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.
Benefits
- Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work
Company info
- Competencies: The following items detail how you will be successful in this role. - Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers.
- We're proud of our culture and are happy to share why - let's talk!
- As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce.
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This listing is sourced directly from Credit Acceptance's careers page and normalized into a canonical job model.