Remote opportunity at
OportunSenior Data Engineer
Oportun is a financial services organization focused on improving members' financial wellness through budgeting, savings, and credit solutions. The company is currently seeking a Senior Data…
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About This Role
Oportun is a financial services organization focused on improving members' financial wellness through budgeting, savings, and credit solutions. The company is currently seeking a Senior Data Engineer to join the Member Communication Platform team. In this position, the professional will create and manage secure, scalable data architecture that drives campaign delivery, eligibility rules, audience targeting, preferences, consent collection, and operational tracking. Success during the first year involves building dependable Databricks…
Job Description
Oportun is a financial services organization focused on improving members' financial wellness through budgeting, savings, and credit solutions. The company is currently seeking a Senior Data Engineer to join the Member Communication Platform team.
In this position, the professional will create and manage secure, scalable data architecture that drives campaign delivery, eligibility rules, audience targeting, preferences, consent collection, and operational tracking. Success during the first year involves building dependable Databricks pipelines, enhancing data observability, and guiding cross-functional technical projects.
This opportunity is suited for a hands-on engineer who enjoys tackling ambiguous technical challenges and taking ownership of production environments. The ideal candidate balances user experience, privacy regulations, reliability, and cost efficiency.
Please note that this is a remote role that must be performed from within India, with options for candidates currently based there or willing to relocate to India.
Responsibilities
- Lead the design and creation of scalable data models, data contracts, data lineage, and ownership frameworks for member communications
- Direct complex data engineering projects independently from technical requirements through production launch
- Build and optimize data pipelines and integrations utilizing Databricks, Apache Spark, PySpark, Spark SQL, Delta Lake, and SQL
- Construct reliable mechanisms for data-loading, reconciliation, retries, idempotency, recovery, and deployments
- Establish data quality governance, automated validation, alerts, dashboards, and runbooks
- Collaborate with privacy, compliance, risk, and security teams to handle sensitive member information and consent controls
- Provide technical mentorship through code reviews, root cause investigations, and durable fixes
- Partner with cross-functional stakeholders to plan releases, monitor pipeline performance, and utilize AI tools to improve efficiency
Requirements
- At least six years of professional experience in data engineering focusing on data architecture, platforms, pipelines, and lakehouse or database management
- Strong proficiency in Python, PySpark, and SQL
- Extensive hands-on expertise with Databricks, Apache Spark, Spark SQL, Delta Lake, workflow orchestration, CI/CD, and Git-based workflows
- Experience implementing automated testing, data quality observability, alerting, lineage, cloud services especially AWS, secure access controls, and encryption
- Familiarity with Agile work environments
Qualifications
- Bachelor or master degree in Computer Science, Engineering, Data Science, or a related discipline
- Professional background within financial services, lending, customer communications, marketing technology, or other regulated industries
- Familiarity with Unity Catalog or similar data governance tools
- Experience writing code in Java or Scala
- Practical experience using artificial intelligence tools like ChatGPT or Copilot to boost engineering productivity and troubleshooting
Core Skills
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- Provident fund
- Life and accident insurance
- Internet, fuel, meal, and telephone allowances
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job located?
This is a remote position that must be performed from within India. Candidates can either be currently based in India or open to relocating there.
What is the employment type?
The posting specifies full-time employment.
What is the salary for this role?
The job posting does not specify a salary.
What core technical skills are required?
Candidates must have at least six years of data engineering experience with strong proficiency in Python, PySpark, SQL, Databricks, Apache Spark, and Delta Lake.
Sample Interview Questions
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