Staff Data Engineer

Alldus International Consulting Ltd; San Diego (CA); Remote; USD 180,000 - 230,000; Full time

Job summary

A dynamic technology consulting firm is seeking a Remote Staff Data Engineer to develop data systems that power key ML and data products. This role offers autonomy in project ownership and a competitive salary range from $180k to $230k. The ideal candidate is well-versed in Python and SQL, with strong communication skills and the ability to lead data product initiatives in a startup environment.

Benefits

Equity/Stocks

Competitive salary

Qualifications

• Technical leader with autonomy in project management.
• Effective communicator with strong data product focus.
• Ability to challenge and receive feedback for better solutions.

Responsibilities

• Develop data systems for ML and data products.
• Transform ideas into impactful data solutions.
• Lead data products with both batch and streaming data.

Skills

Python

SQL

Communication

Problem-solving

Autonomy

Tools

GCP (Pub/Sub, BigQuery, Airflow)

Terraform

Knowledge Graphs

Job description

Overview

Staff Data Engineer
Location: Remote

Responsibilities

• Join a smart and curious team and work on data systems that power key ML and data products across the business.
• Operate with autonomy on problem areas, turning ideas into data solutions and delivering outcomes that matter.
• Combine technical data knowledge and coding skills with strong communication, business acumen, and positive energy to drive results.

What else is in it for you?

Base Salary from 180-230k
Equity/Stocks

What you need to be successful

• You are a technical leader who can own projects end-to-end with full autonomy (Staff/Principal Data Engineer level).
• You can clearly articulate your thoughts and write and communicate effectively.
• You build data products and solutions (with both batch and streaming data) that matter, not just moving data from A to B.
• You are comfortable being challenged and taking feedback to build better solutions with the right outcomes.
• You move with speed and intent and are comfortable with life in a startup/scaleup environment.
• Python and SQL expertise in data engineering.
• Bonus: experience with GCP (Pub/Sub, BigQuery, Airflow), Terraform, or Knowledge Graphs.

How to apply

Interested? Click the apply or contact for more information at [e-mail]