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Senior Data Engineer – Quantitative Data Pipelines

Lumenalta

United States

Remote

USD 90,000 - 144,000

Full time

4 days ago
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Job summary

Lumenalta is seeking a Data Engineer to join our remote team, focusing on developing scalable data solutions. The role involves designing efficient ETL/ELT pipelines and collaborating with teams to optimize data for analysis, with an offered salary range of $90,000 to $144,000. Join us for a chance to make a meaningful impact with clean and efficient data processes.

Benefits

Flexible working hours
Health insurance (medical and dental)
401K Contribution
Professional development fund
15 days of paid time off annually
Access to soft-skill development courses

Qualifications

  • 7+ years as a Data Engineer, 2 years with Databricks.
  • Proficient in Python and AWS services.
  • Experience with DBT and Apache Airflow preferred.

Responsibilities

  • Design and maintain ETL/ELT data pipelines.
  • Collaborate with data scientists on data needs.
  • Implement data quality checks.

Skills

Python
AWS
Data transformation
SQL
Apache Airflow

Tools

Databricks
DBT

Job description

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

Base pay range

$90,000.00/yr - $144,000.00/yr

What we're working on:

We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries. We're seeking a Data Engineer to join our remote team and help us solve meaningful problems with clean, scalable data solutions.

What You'll Do

  • Design, develop, and maintain efficient ETL/ELT data pipelines using Databricks, AWS, DBT, and Apache Airflow
  • Transform and prepare data for quantitative analysis and machine learning applications
  • Collaborate directly with data scientists and quant analysts to understand their data requirements
  • Implement data quality checks and validation processes to ensure accuracy of financial data
  • Optimize data models and queries for improved performance
  • Document data flows, transformations, and technical specifications
  • Support on-the-fly development requests in a fast-paced environment
  • Troubleshoot and resolve data pipeline issues independently

What We’re Looking For

  • 7+ years of experience as a Data Engineer with at least 2 years focusing on Databricks ecosystem
  • Strong proficiency in Python, including data science libraries like Pandas
  • Proven experience with AWS cloud services and data architecture
  • Experience with DBT for data transformation and documentation
  • Familiarity with Apache Airflow for workflow orchestration
  • Strong SQL skills for data manipulation and analysis
  • Excellent communication skills with ability to collaborate directly with end-users
  • Self-starter capable of working independently with minimal supervision
  • Ability to work in a fast-paced environment with changing requirements

The job is 100% Remote; please ensure you have a comfortable office set at your desired work location.

Salary range: $90,000 - $144,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.

In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:

  • Flexible working hours in a remote environment.
  • Health insurance (medical and dental) for W2 Employees
  • 401K Contribution
  • A professional development fund to enhance your skills and knowledge.
  • 15 days of paid time off annually.
  • Access to soft-skill development courses to further your career.

This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.

At Lumenalta, we are committed to creating an environment that prioritizes growth, work-life balance, and the diverse needs of our team members.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    IT Services and IT Consulting

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