Senior Data Engineer: Build Scalable ETL & AI-Driven Analytics

OpenKrill

United States

Remote

USD 140,000 - 190,000

Full time

47 hours ago
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Job summary

OpenKrill, based in the United States, seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines for ETL from diverse sources. You will enable analysts to access clean, reliable data quickly.

The role requires leading complex SQL, developing AI/ML tools for data processing, and collaborating with data scientists, engineers, and product teams to translate business needs into robust data solutions.

Qualifications

  • Bachelor's or master’s degree in a related field.
  • 6–8 years of data engineering experience, SaaS/financial systems preferred.
  • Experience designing robust data pipelines and ETL processes.
  • Strong SQL writing and data modeling capabilities.
  • Familiarity with cloud data platforms (AWS/Azure) and data warehouses.

Responsibilities

  • Design, build, implement, and maintain ETL pipelines from diverse data sources.
  • Lead the writing of complex SQL queries to support analytics.
  • Develop tools and programming for AI/ML and big-data techniques to cleanse and transform data.
  • Evaluate tools/technologies for data infrastructure; collaborate with cross-functional teams.
  • Work with Python, SQL, Spark, Databricks, APIs; handle structured and unstructured data.

Skills

Python
SQL
Distributed processing
Data governance
Problem solving
Security awareness
Stakeholder collaboration

Education

Bachelor's degree
Master's degree

Tools

Apache Spark
Databricks
Snowflake
Redshift
BigQuery
Airflow
dbt

Job description

OpenKrill, based in the United States, seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines for ETL from diverse sources. You will enable analysts to access clean, reliable data quickly.

The role requires leading complex SQL, developing AI/ML tools for data processing, and collaborating with data scientists, engineers, and product teams to translate business needs into robust data solutions.

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