Senior Data Engineer

Jobot; Milwaukee (WI); Remote; USD 150,000 - 200,000; Full time

Job summary

A rapidly scaling Y Combinator-backed bio-tech company seeks a Senior Data Engineer to optimize ETL pipelines, scale data architecture, and mentor junior engineers. The role involves developing data infrastructure essential for analytics and product innovation in the bio-tech sector.

Benefits

Excellent Benefits

Remote Work in USA or Canada

Growth Opportunity

Pet Benefits

Great Culture, PTO, 401K

Qualifications

• 8-10 years of engineering experience preferably in SaaS.
• Strong programming skills in Python and SQL.
• Experience with orchestration tools like Airflow.

Responsibilities

• Optimize and maintain ETL pipelines for data science.
• Guide junior engineers through code reviews and best practices.
• Develop scalable data infrastructure using Spark and AWS.

Skills

Mentoring

Python

SQL

Data architecture

ETL pipeline optimization

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Spark

PySpark

DBT

Terraform

Kinesis

Airflow

Job description

This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $200,000.00/yr

Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!

Job details

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 "Easy Apply" 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 "Easy Apply" 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.

Want to learn more about this role and Jobot?

Click our Jobot logo and follow our LinkedIn page!

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting and Software Development

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