Penn Mutual
Senior Data Engineer
Remote Senior Data Engineer role with clear candidate location fit.
PostedJun 18, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Senior Data Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Responsibilities:
- Design, build, and maintain scalable batch and streaming data pipelines supporting enterprise analytics, reporting, and downstream consumption.
- Develop and optimize data ingestion, transformation, and orchestration workflows across structured and semi‑structured data sources.
- Engineer and maintain curated, analytics‑ready data models (e.g., dimensional, canonical, or domain‑oriented datasets).
- Ensure data solutions meet performance, reliability, availability, and recoverability expectations.
Responsibilities:
- Implement data solutions aligned to Penn Mutual’s cloud data platform strategy, including cloud storage, compute, and analytics services.
- Apply data architecture patterns that support data lakes, lake houses, and analytical warehouses.
- Partner with Enterprise Architecture to ensure data solutions conform to technology standards, integration patterns, and security requirements.
- Contribute to platform evolution decisions, including tooling selection, architectural patterns, and modernization initiatives.
Responsibilities:
- Embed data quality checks, validation rules, and observability into pipelines to ensure trusted data.
- Support data governance and stewardship practices, including metadata management, lineage, and controlled data access.
- Ensure data solutions comply with security, privacy, and regulatory requirements relevant to financial services and insurance.
Responsibilities:
- Collaborate with analytics, reporting, and data science teams to enable self‑service analytics and advanced insights.
- Translate business requirements into well‑designed data structures and datasets that are easy to consume and reuse.
- Support downstream use cases including dashboards, regulatory reporting, operational analytics, and advanced modeling.
Responsibilities:
- Promote engineering best practices including version control, automated testing, CI/CD, and documentation.
- Drive continuous improvement through evaluation of emerging data technologies and industry trends.
Responsibilities:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (Master’s degree preferred).
- 5+ years of professional experience in data engineering, analytics engineering, or data platform development.
- Strong proficiency in SQL and at least one modern programming language commonly used for data engineering (e.g., Python, Java, or Scala).
- Develop AWS serverless solutions using Lambda, Glue, Step Functions, SNS/SQS, EMR, Lake Formation, API Gateway, IAM, CloudFormation, CloudWatch, S3.
- Extensive experience designing and building data pipelines and analytical data models.
- Hands‑on experience with cloud‑based data platforms and distributed data processing concepts.
- Solid understanding of data architecture patterns, data integration, and performance optimization.
- Strong problem‑solving skills with the ability to analyze complex data challenges and implement effective solutions.
- Excellent communication skills, with the ability to explain data concepts to both technical and non‑technical stakeholders.
Preferred:
- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
- Knowledge of Infrastructure as a Service concepts and tooling (Cloud Formation, Terraform, etc.), deployment automation tools (Jenkins, GitHub Actions, Bamboo, etc.)
- Knowledge of software development methodologies such as Agile or Scrum.
Competencies:
- Customer Service: Exceptional attitude and a passion for providing outstanding service to internal customers.
- Attention to Detail: Thoroughness in accomplishing a task through concern for all the areas involved, no matter how small. Monitors and checks work or information and plans and organizes time and resources efficiently
- Analytical Skills: Collects and researches data; Designs workflows and procedures; Identifies data relationships and dependencies.
- Communications: Exhibits good listening and comprehension. Expresses ideas and thoughts in verbal and written form. Keeps others adequately informed. Selects and uses appropriate communication methods.
- Problem Solving: Ability to solve issues efficiently and quickly.
Similar roles
Keep a backup shortlist.
AWS, Kubernetes 1 accepted country
Senior Backend Engineer (AdTech)Leap ToolsView role AWS, Kubernetes 1 accepted country
Senior Backend EngineerLeap ToolsView role CI/CD, Java 8 accepted countries
Application Security EngineerMorgan StanleyView role Java, Python USA
Application Security Engineer (Tech Lead)Morgan StanleyView role Stack
Use these tags to compare similar remote roles.
Location eligibility
Candidates should apply only when their profile country is listed here.
Your profileCountry not setSign in to check your country against this role.
Hiring flow
WithMira shows the role, then sends candidates to the company application.
1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.