Senior Engineer - Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• 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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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

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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