Fractal Labs

5 days ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Design and optimize cloud-native data pipelines using Databricks (PySpark, SQL) across Azure and GCP, and architect Snowflake and BigQuery data warehouse solutions. Collaborate with stakeholders to translate healthcare data requirements into technical solutions, perform advanced analysis on datasets like claims, EMR, HL7, and FHIR, and ensure governance, lineage, and security. Mentor junior engineers while coordinating delivery to produce high-quality data products that support healthcare decision-making.

Location: California

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead the design, development, and optimization of data pipelines using Databricks (PySpark, SQL) across Azure and GCP environments.
•Architect and manage Snowflake and BigQuery data warehouse solutions for performance, scalability, and cost-efficiency.
•Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
•Perform advanced data analysis on healthcare datasets (claims, EMR, HL7, FHIR) to support decision-making.
•Implement and maintain data governance, lineage, and security, and ensure compliance with healthcare regulations (HIPAA, HITRUST).

Pay and Benefits

Salary: USD 90,000 - 115,000 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid HolidaysParental LeavePaid Leave

Key Requirements

•12+ years of experience in data engineering with strong cloud-native data pipeline focus.
•Expert proficiency in Databricks, PySpark, SQL, and data orchestration.
•Proven experience with Snowflake and BigQuery, plus healthcare data formats (FHIR, HL7, claims, EMR).
•Strong understanding of Azure and GCP services, including Data Factory, Synapse, Cloud Composer, and Google Cloud Storage.
•Hands-on experience with CI/CD, DevOps for data, and infrastructure-as-code.

Experience:Healthcare

Education:Bachelor's in Computer Science, Engineering, or related field

Skills:CommunicationLeadershipMentoringTeam coordination

Certifications:DatabricksSnowflakeGCP

Tech Stack:DatabricksPySparkSQLSnowflakeBigQueryAzureGCPData FactorySynapseCloud ComposerGoogle Cloud StorageUnity CatalogTerraformGitLab CI/CDCI/CDDevOpsInfrastructure-as-codeAirflowDbtFHIR

Company Brief

Fractal Labs

Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn

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Fractal Labs

5 days ago

Senior Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: California

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead the design, development, and optimization of data pipelines using Databricks (PySpark, SQL) across Azure and GCP environments.
•Architect and manage Snowflake and BigQuery data warehouse solutions for performance, scalability, and cost-efficiency.
•Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
•Perform advanced data analysis on healthcare datasets (claims, EMR, HL7, FHIR) to support decision-making.
•Implement and maintain data governance, lineage, and security, and ensure compliance with healthcare regulations (HIPAA, HITRUST).

Pay and Benefits

Salary: USD 90,000 - 115,000 annually

Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPaid HolidaysParental LeavePaid Leave

Key Requirements

•12+ years of experience in data engineering with strong cloud-native data pipeline focus.
•Expert proficiency in Databricks, PySpark, SQL, and data orchestration.
•Proven experience with Snowflake and BigQuery, plus healthcare data formats (FHIR, HL7, claims, EMR).
•Strong understanding of Azure and GCP services, including Data Factory, Synapse, Cloud Composer, and Google Cloud Storage.
•Hands-on experience with CI/CD, DevOps for data, and infrastructure-as-code.

Experience:Healthcare

Education:Bachelor's in Computer Science, Engineering, or related field

Skills:CommunicationLeadershipMentoringTeam coordination

Certifications:DatabricksSnowflakeGCP

Tech Stack:DatabricksPySparkSQLSnowflakeBigQueryAzureGCPData FactorySynapseCloud ComposerGoogle Cloud StorageUnity CatalogTerraformGitLab CI/CDCI/CDDevOpsInfrastructure-as-codeAirflowDbtFHIR

Company Brief

Fractal Labs

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn