Senior Data Engineer: Scale Data Platforms & ETL Pipelines

Instrumentl

United States

Remote

USD 150,000 - 180,000

Full time

14 days+

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Benefits offered by this job

100% covered health, dental, and vision insurance
Generous PTO including parental leave
401(k)
Company laptop and home-office stipend
Bi-Annual Company retreats

Job summary

A dynamic startup is seeking a Senior Data Engineer to scale and evolve their data platform. You'll play a key role in shaping architecture while designing and implementing systems for data ingestion, storage, and analytics. The ideal candidate will have 5+ years of software engineering experience, especially in data engineering, solid Python and SQL skills, and familiarity with orchestration tools like Airflow. They offer a competitive salary and benefits including health insurance and generous PTO.

Qualifications

  • 5+ years of software engineering experience, last 2-3 in data engineering.
  • Strong programming skills in Python.
  • Advanced proficiency in SQL.
  • Experience building end-to-end ETL/ELT pipelines.
  • Experience with orchestration tools like Airflow.

Responsibilities

  • Design and scale the data platform including pipelines, models, and frameworks.
  • Develop scalable ETL/ELT pipelines from APIs, databases, and event streams.
  • Define and implement data ingestion, storage, processing, and transformation systems.
  • Build workflow orchestration using tools like Airflow.
  • Optimize systems for performance, scalability, and cost.

Skills

Software engineering experience
Python programming
SQL proficiency
Building ETL/ELT pipelines
Experience with orchestration tools
Data lifecycle understanding
Cloud platforms (AWS, GCP, Azure)
Support for BI tools
Familiarity with data warehouses

Tools

Airflow
Snowflake
BigQuery
Redshift

Job description

A dynamic startup is seeking a Senior Data Engineer to scale and evolve their data platform. You'll play a key role in shaping architecture while designing and implementing systems for data ingestion, storage, and analytics. The ideal candidate will have 5+ years of software engineering experience, especially in data engineering, solid Python and SQL skills, and familiarity with orchestration tools like Airflow. They offer a competitive salary and benefits including health insurance and generous PTO.
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