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Arctiq

Senior Data Engineer

Posted 15 Days Ago
In-Office or Remote
Hiring Remotely in New York, NY
Senior level
In-Office or Remote
Hiring Remotely in New York, NY
Senior level
Lead the development of scalable data pipelines, architecting ETL/ELT processes, managing data governance, and utilizing Infrastructure as Code.
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Company Overview:

Arctiq is a leader in professional IT services and managed services across three core Centers of Excellence: Enterprise Security, Modern Infrastructure and Platform Engineering. Renowned for our ability to architect intelligence, we connect, protect, and transform organizations, empowering them to thrive in today's digital landscape. Arctiq builds on decades of industry expertise and a customer-centric ethos to deliver exceptional value to clients across diverse industries.

Position Overview:

We are looking for a Data Engineer to lead the development of scalable data pipelines within the Databricks ecosystem. You will be responsible for architecting robust ETL/ELT processes using a "configuration-as-code" approach, ensuring our data lakehouse is governed, performant, and production-ready.

This is a 3-month contract opportunity at 25 hours per week. 

Responsibilities:

  • Pipeline Architecture: Design and implement declarative data pipelines using Lakeflow and Databricks Asset Bundles (DABs) to ensure seamless CI/CD.
  • Data Ingestion: Build efficient, scalable ingestion patterns using AutoLoader and Change Data Capture (CDC) to handle high-volume data streams.
  • Governance & Security: Manage metadata, lineage, and access control through Unity Catalog.
  • Orchestration: Develop and maintain complex workflows using Databricks Jobs and orchestration tools.
  • Infrastructure as Code: (Asset) Utilize Terraform to manage AWS resources (S3, EC2) and Databricks workspaces.

Qualifications:

  • Expertise: Deep mastery of PySpark and advanced SQL.
  • Platform: Extensive experience in the Databricks environment (Workflows, Delta Lake).
  • Cloud: Familiarity with AWS infrastructure and cloud-native data patterns.

Arctiq is an equal opportunity employer. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.


We thank you for your interest in joining the Arctiq team! While we welcome all applicants, only those who are selected for an interview will be contacted.

Top Skills

AWS
Databricks
Delta Lake
Lakeflow
Pyspark
SQL
Terraform
Unity Catalog

Arctiq New York, New York, USA Office

112 West 34th Street, Suite 18019, New York, New York, United States, 10120

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