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Data Engineer

Flexible
V

Visa

Startup
Category
Technical
Experience
4-7 years
Type
Full-Time
Location
Flexible
Job Description
Benefits & Culture
Flexible hours
Remote work
Paid time off
Fast-paced environment
Direct feedback
Growth opportunities
This goes straight to the founder
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No recruiters. Founders reply directly.

Founder Signals
Response Rate
85%
Avg Response Time
2 hours
Compensation Calculator
In startups, higher salary usually means lower equity.
Salary (affects equity %)
Link salary ↔ equity
$125,000
$80,000$200,000
Equity % (auto from trade-off model)
0.93%
0%5%
Projected Exit Value
$350,000,000
$10M$500M
Live Trade-off
Salary
Equity %
Est. Equity Value at Exit
$100,000
1.08%
$1,884,167
$125,000
0.93%
$1,636,250
$150,000
0.79%
$1,388,333
$175,000
0.65%
$1,140,417

Advanced Salary & Equity Calculator

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Role Overview

This role is for a Data Engineer. The primary focus is on building and maintaining data pipelines, ensuring data quality, and supporting data-driven decision-making.

Responsibilities

  1. Design, build, and maintain scalable data pipelines.
  2. Collaborate with data scientists and analysts to understand data needs.
  3. Implement data quality checks and monitoring.
  4. Optimize data storage and retrieval processes.
  5. Ensure compliance with data governance policies.

Requirements

  1. Proven experience as a Data Engineer or in a similar role.
  2. Proficiency in programming languages such as Python, SQL.
  3. Experience with cloud platforms like AWS, GCP, or Azure.
  4. Familiarity with big data technologies (e.g., Spark, Hadoop).
  5. Strong understanding of data warehousing concepts.
  6. Excellent problem-solving and communication skills.