Data Engineer

Quantix, Inc.; United States; On-site; USD 120,000 - 130,000; Full time

Job summary

A leading IT services company in the United States is seeking a Mid-Senior level professional to build and maintain ETL pipelines for high-quality data processing of contracts and invoices. The ideal candidate will have experience with tools such as Airflow and Redshift, ensuring data validation and real-time streaming. This full-time role promises to offer competitive compensation with a base pay range between $120,000 and $130,000 per year.

Qualifications

• Experience with building and maintaining ETL pipelines.
• Familiarity with data quality monitoring and validation.
• Understanding of real-time data processing.

Responsibilities

• Build and maintain ETL pipelines for processing contracts and invoices.
• Execute historical data migration for new customers.
• Implement data quality checks and balances.

Skills

ETL tools: Airflow, Prefect

Data warehousing: Redshift, BigQuery, Snowflake

Streaming: Kafka, Kinesis

Job description

This range is provided by Quantix, Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $130,000.00/yr

Responsibilities

Build and maintain ETL pipelines that process contracts and invoices at scale with high data quality.

Technical Delivery Requirements

• Historical data migration for new customers (10K+ invoices per health system)
• Real-time data streaming for webhook integrations
• Data quality monitoring and validation

Data Warehouse

• Build analytics data warehouse for reporting
• Aggregate validation metrics, savings data, exception patterns
• Customer-specific data models for ROI reporting
• Time-series data for trend analysis
• Support for 245+ contract/validation schema fields

Data Quality & Governance

• Data validation: completeness, accuracy, consistency checks
• PII/PHI detection and masking
• Error handling and dead letter queues

Required Skills

• ETL tools: Airflow, Prefect, or similar for workflow orchestration
• Data warehousing: Redshift, BigQuery, or Snowflake
• Streaming: Kafka, Kinesis for real-time data processing

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting

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