IT Data Engineer - BB4352

Job Description

Job Description

IT Data Engineer – BB4352

 

 

BB4352

Cambridge, MA

12+ Months

 

Job Summary:

 

We are seeking a highly skilled  IT Data Engineer with expertise in  Databricks ,  Seqera Platform (Nextflow Tower) , cloud data engineering, and scientific data workflows to support our Discovery R&D and data science initiatives. The ideal candidate will design, develop, and maintain scalable data platforms and automated bioinformatics/data science pipelines that enable researchers and scientists to efficiently process, analyze, and access large-scale scientific and business datasets.

This role requires strong experience in cloud-native architectures, data engineering best practices, workflow orchestration, and collaboration with cross-functional teams including scientists, bioinformaticians, data scientists, and IT infrastructure teams.

 

Key Responsibilities:

 

·         Data Engineering & Platform Development

·         Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and cloud-native technologies.

·         Build and optimize ETL/ELT processes for structured, semi-structured, and unstructured data.

·         Develop data ingestion frameworks for research, laboratory, clinical, and external scientific datasets.

·         Implement data quality, validation, monitoring, and governance processes.

·         Support enterprise data lakehouse architecture and data platform modernization initiatives.

·         Databricks Administration & Development

·         Develop and maintain Databricks notebooks, workflows, Delta Live Tables, and Jobs.

·         Create optimized Spark-based transformations and data processing solutions.

·         Implement Medallion Architecture (Bronze, Silver, Gold) for data lifecycle management.

·         Manage Delta Lake environments and optimize performance, scalability, and cost.

·         Integrate Databricks with cloud-native services and enterprise applications.

·         Seqera Platform & Scientific Workflow Management

·         Deploy, configure, and support Seqera Platform (formerly Nextflow Tower).

·         Develop and maintain Nextflow pipelines for bioinformatics, genomics, imaging, AI/ML, and scientific computing workloads.

·         Integrate Seqera workflows with AWS cloud infrastructure and compute environments.

·         Support containerized workflows using Docker and Kubernetes technologies.

·         Enable reproducible, scalable, and compliant scientific data processing workflows.

·         Cloud Engineering

·         Design and implement cloud-based data solutions in AWS.

·         Manage cloud storage solutions including S3 and data lifecycle policies.

·         Develop Infrastructure-as-Code solutions using Terraform or CloudFormation.

·         Implement security controls and access management following enterprise IT standards.

·         Partner with data scientists, researchers, bioinformaticians, and business stakeholders to understand data requirements.

·         Provide technical guidance on data engineering best practices and workflow automation.

·         Troubleshoot pipeline failures, performance issues, and workflow bottlenecks.

·         Contribute to platform roadmaps and continuous improvement initiatives.

·         Maintain technical documentation, SOPs, and knowledge articles.

 

Required Qualifications

·         Education

o    Bachelor's degree in Computer Science, Information Technology, Data Engineering, Bioinformatics, or a related technical field.

o    Master's degree preferred.

o    Experience

o    5+ years of experience in data engineering, cloud engineering, or analytics platform development.

o    3+ years of hands-on experience with Databricks and Apache Spark.

o    2+ years of experience with Seqera Platform (Nextflow Tower) and Nextflow workflows.

o    Experience supporting scientific research, life sciences, pharmaceutical, biotech, or healthcare environments preferred.

 

·         Technical Skills

o    Databricks & Data Engineering, Databricks Lakehouse Platform

o    Apache Spark (PySpark, Spark SQL)

o    Delta Lake, Delta Live Tables (DLT)

o    Databricks Workflows

o    Unity Catalog

o    SQL and Python

o    Seqera & Scientific Computing; Seqera Platform / Nextflow Tower

o    Nextflow pipeline development

o    Bioinformatics workflow automation

o    Docker and container technologies

o    Kubernetes orchestration

o    High-performance computing environments

o    Cloud Technologies, AWS (required)

o    S3, IAM, EC2, VPC, Lambda

o    Terraform or CloudFormation

o    Cloud monitoring and logging tools

o    Data Technologies

o    Data Lake and Lakehouse architectures

o    ETL/ELT frameworks

o    Data modeling

o    Data cataloging and governance

o    API integrations

o    Data quality frameworks

o    DevOps & Automation

o    GitHub/GitLab

o    CI/CD pipelines

o    Jenkins, GitHub Actions, or similar tools

o    Infrastructure as Code

o    Agile and DevOps methodologies

 

Core Competencies

·         Strong analytical and problem-solving skills.

·         Excellent communication and stakeholder management abilities.

·         Ability to work independently and within global cross-functional teams.

·         Strong attention to detail and commitment to data quality.

·         Continuous improvement mindset and passion for innovation.

 

TechData is now a part of Quantive Intelligence, same people, expanded capabilities and we are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

 

 

 

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Company Description