Machinify

5 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior Data Engineer responsible for designing and operating production-grade data pipelines using Python, Spark SQL, and Airflow to transform large healthcare data into canonical models. You’ll own end-to-end data workflows, onboard customers, and power ML models and dashboards with observable, high-quality data in a fast-moving environment.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON).
•Lead efforts to canonicalize raw healthcare data (837 claims, EHR, partner data, flat files) into internal models.
•Own the full lifecycle of core pipelines — from file ingestion to validated, queryable datasets — ensuring high reliability and performance.
•Onboard new customers by integrating their raw data into internal pipelines and canonical models; collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting.
•Build and enhance streaming pipelines (Kafka, SQS, or similar) where needed to support near-real-time data needs.

Pay and Benefits

Salary: USD 180,000 - 220,000 annually

Equity and Bonus:Equity

Perks:Health InsurancePaid Leave401kEquityVision

Key Requirements

•6+ years of experience as a Data Engineer (or equivalent), building production-grade pipelines.
•Strong expertise in Python, Spark SQL, and Airflow.
•Experience processing large-scale file-based datasets (CSV, Parquet, JSON) in production environments.
•Onboard new customers by integrating their raw data into internal pipelines and canonical models.
•Familiarity with cloud platforms (AWS) and streaming/bixed data systems (Kafka, SQS) would be a plus.

Experience:6+ yearsHealthcareData engineeringHealthcare data

Skills:CommunicationCollaborationProblem-solvingOwnershipAttention to detail

Languages:English

Tech Stack:PythonSpark SQLAirflowAWSKafkaSQSParquetCSVJSON

Company Brief

Machinify

Provides AI-driven predictive maintenance and asset-monitoring solutions for manufacturing and industrial operations, using IoT sensor data and machine learning to reduce downtime, optimize performance, and extend equipment life.

Industry: Industrial Automation

Website

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Machinify

5 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON).
•Lead efforts to canonicalize raw healthcare data (837 claims, EHR, partner data, flat files) into internal models.
•Own the full lifecycle of core pipelines — from file ingestion to validated, queryable datasets — ensuring high reliability and performance.
•Onboard new customers by integrating their raw data into internal pipelines and canonical models; collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting.
•Build and enhance streaming pipelines (Kafka, SQS, or similar) where needed to support near-real-time data needs.

Pay and Benefits

Salary: USD 180,000 - 220,000 annually

Equity and Bonus:Equity

Perks:Health InsurancePaid Leave401kEquityVision

Key Requirements

•6+ years of experience as a Data Engineer (or equivalent), building production-grade pipelines.
•Strong expertise in Python, Spark SQL, and Airflow.
•Experience processing large-scale file-based datasets (CSV, Parquet, JSON) in production environments.
•Onboard new customers by integrating their raw data into internal pipelines and canonical models.
•Familiarity with cloud platforms (AWS) and streaming/bixed data systems (Kafka, SQS) would be a plus.

Experience:6+ yearsHealthcareData engineeringHealthcare data

Skills:CommunicationCollaborationProblem-solvingOwnershipAttention to detail

Languages:English

Tech Stack:PythonSpark SQLAirflowAWSKafkaSQSParquetCSVJSON

Company Brief

Machinify

Industry: Industrial Automation

Website