Senior Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• 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

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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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.

Schedule

Shift type

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Weekend work

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Application

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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 Data Engineer Romania-Cluj Office 8x8 connects our customers and teams globally, empowering CX leaders with performance and insights to make smarter decisions, delight customers, and drive lasting business impact. Job Overview We are seeking a highly skilled and motivated Data Engineer to join our growing data engineering team. In this role, you will design, build, and maintain robust data pipelines and architectures that support analytics, machine learning, and operational workloads. You'll work with modern data stack tools including Snowflake , dbt , and Matillion or similar platform , and will play a key role in shaping how data flows and is consumed across the organization. Key Responsibilities Build and Maintain Data Pipelines Design and develop reliable, scalable, and secure ETL/ELT pipelines using Matillion(or similar platform) , Python , and dbt to ingest, transform, and deliver data from various sources into our Snowflake data warehouse. Optimize Data Infrastructure Work on performance tuning of SQL queries, table structures, and warehouse configurations to ensure efficient data processing and storage. Collaborate Cross-functionally Work closely with data analysts, data scientists, product managers, and engineering teams to understand data needs and deliver high-quality datasets. Data Modeling Design and maintain scalable dimensional and normalized data models within Snowflake to support both analytical and operational use cases. Implement and Enforce Data Quality Standards Build data quality checks, logging, monitoring, and alerting systems to ensure trustworthiness of data pipelines and datasets. Documentation and Best Practices Maintain comprehensive documentation of systems, processes, and code. Champion and enforce engineering and

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