Senior Engineer - Data Engineer
Arrow Financial CORP - 2 Locations
Posted May 12, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Senior Engineer - Data Engineer 2 Locations Position: Senior Engineer - Data Engineer Job Description: Position - Data Engineer What you will be doing * Design and development of real time software and Cloud/Web/mobile based software application. * Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement. * Perform software testing including unit, functional and system level requirement including manual and automated * Perform code review following coding guidelines and static code analysis & troubleshoots software problems of limited difficulty. * Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle. * Develop software solutions from established programming languages or by learning new language required for specific project. What Are We Looking For * Experience: 4 to 8 years in software/data engineering. * Data Technologies: Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions. * Programming Languages: Proficiency in Python is a must. * Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP. * Visualization Tools: Experience with data visualization tools (e.g., Tableau, Power BI, Looker). * Data Governance: Knowledge of data governance and security practices. * CI/CD: Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes). * Communication Skills: Excellent verbal and written communication skills in English. * Agile Methodologies: Experience working in Agile development environments. * AI/ML Awareness: Understanding of AI and ML concepts, frameworks (e.g., TensorFlow,
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Apply link verified; last checked Jun 13, 2026.
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