Senior Data Engineer

Jobs via Dice; New York (NY); Remote; USD 150,000 - 200,000; Full time

Job summary

A rapidly scaling Y Combinator-backed bio-tech company is seeking a Senior Data Engineer to optimize ETL pipelines and enhance data architecture. This role includes mentoring junior engineers and evolving the data infrastructure that drives analytics and machine learning, providing significant growth opportunities and benefits.

Benefits

Excellent Benefits

Remote Work in USA or Canada

Growth Opportunity

Pet Benefits

Great Culture, PTO, 401K

Qualifications

• 8-10 years of engineering experience in a SaaS or tech-driven organization.
• Required: experience with Spark, PySpark, DBT, Terraform, and Kinesis.
• Strong programming skills in Python and SQL.

Responsibilities

• Optimize and maintain ETL pipelines for data science and analytics teams.
• Guide junior engineers and promote best practices.
• Develop scalable data infrastructure using modern tools.

Skills

Spark

Python

SQL

ETL

Data Warehousing

Communication

Mentoring

Education

Bachelor's degree in Computer Science

Tools

AWS

Terraform

Airflow

Kinesis

dbt

Job description

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Y Combinator-backed Bio-Tech company is looking for a Senior Data Engineer to join their growing team!

This Jobot Job is hosted by: Sydney Weaver

Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.

Salary: $150,000 - $200,000 per year

A bit about us:

A rapidly scaling, Y Combinator-backed company is searching for a Senior Data Engineer to play a pivotal role in optimizing ETL pipelines, scaling data architecture, and mentoring junior engineers.. Their platform helps researchers quickly create accurate scientific visuals. As a Senior Data Engineer, you'll help scale the internal data platform and lead improvements across pipeline performance, architecture, and mentorship. You'll be instrumental in evolving the data infrastructure that fuels analytics, machine learning, and product innovation.

Why join us?

• Excellent Benefits
• Remote Work in USA or Canada
• Growth Opportunity
• Pet Benefits
• Great Culture, PTO, 401K, and much more!
  
  

Job Details

Responsibilities

• Optimize and maintain ETL pipelines to support data science, analytics, product, and machine learning teams
• Guide junior engineers through code reviews, pairing, and best practices
• Develop scalable data infrastructure using Spark, dbt, AWS, Kinesis, and Terraform
• Build and support data lake/lakehouse and data warehouse solutions (Redshift or Snowflake preferred)
• Lead data integration efforts using tools such as Airbyte, Stitch, and Airflow
• Own and enhance streaming data systems leveraging platforms like Kinesis and Firehose
• Drive architectural decisions and thoughtfully balance trade-offs in system design
• Collaborate cross-functionally to ensure data initiatives align with company strategy
• Champion high standards in data quality, security, and discoverability
• Translate complex technical challenges into clear solutions for non-technical stakeholders
  
  

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field
• 8-10 years of engineering experience preferably in SaaS or tech-driven organization.
• Required: Experience with Spark or PySpark, DBT, Terraform, and Kinesis
• Expertise with data warehouses and modern data lake architectures.
• Experience with orchestration and workflow tools like Airflow
• Strong programming skills in Python and SQL
• Proven ability to mentor engineers and contribute to team-wide improvement
• Excellent communication skills with the ability to explain technical concepts clearly
• Passionate about SaaS and genuine interest in the bio-tech / healthcare space
  
  

Bonus Points:

• MLOps experience
• Snowflake (nice-to-have) and Kinesis
  
  

Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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