Accellor

Senior Data Engineer

Accellor

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • United States

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Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSDistributed SystemsETLJavaPythonScalaSQLTerraform

About the role

  • Design, build, and maintain scalable, secure, and high-performance data pipelines in AWS
  • Architect and optimize Snowflake data warehouse environments
  • Develop and maintain ETL/ELT workflows for structured and semi-structured data
  • Implement data modeling best practices (dimensional modeling, star/snowflake schemas)
  • Ensure data quality, governance, lineage, and observability
  • Optimize performance and cost efficiency across AWS and Snowflake environments
  • Collaborate with analytics, data science, and business teams to translate requirements into scalable data solutions
  • Implement CI/CD processes for data workflows
  • Mentor junior data engineers and establish engineering best practices

Requirements

  • 7+ years of experience in data engineering or related field
  • Strong hands-on experience with Snowflake (architecture, performance tuning, RBAC, data sharing, optimization)
  • Extensive experience building data pipelines in AWS (e.g., S3, Glue, Lambda, EMR, Redshift, Step Functions, Kinesis)
  • Strong SQL expertise and advanced data modeling skills
  • Experience with Python (or Scala/Java) for data engineering workflows
  • Experience with orchestration tools (Airflow, Prefect, Step Functions, etc.)
  • Experience with infrastructure as code (Terraform, CloudFormation)
  • Deep understanding of data warehouse concepts, distributed systems
Benefits
  • We strive to offer benefits that support the diverse needs of our employees.
  • Our package includes perks like flexible and discretionary time off.
  • Healthcare coverage for you and your loved ones.
  • Receiving retirement savings plan to help you plan for the future.
  • Access to flexible spending and health savings accounts.
  • Life and AD&D insurance.
  • Opportunities for professional development.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringETLELTdata modelingSQLPythonSnowflakeAWSinfrastructure as codeorchestration tools
Soft Skills
collaborationmentoringcommunicationproblem-solvingleadership