QA Data Engineer

Synergis IT

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Open to Remote as long as candidates are in PST

This position requires an ambitious individual with strong creative and analytic skills. You will

take an active role in shaping the quality of our product. This will demand deep integration with

our development engineers, creating test plans, bug reporting and triaging, identifying

automation opportunities, and supporting design reviews. You will work with data at scale, build

tools to provide insights into data quality issues, prioritize and drive the correctness of data with

data producers, and monitor quality of production data. You'll help us identify holes in coverage,

actively sync with multi-functional teams to reduce duplication, foster better testing, and resist


We're looking for someone who is comfortable with a fast-moving environment and can learn


1. Build and maintain ETL pipelines

2. Create dashboards

3. Document and refactor our codebase

4. QA and build infrastructure for testing

Years of experience:

• 3+ years

Primary Requirements

• A passion for making simple, robust products used by other engineering teams

• Strong software development skills, with proficiency in relevant languages (e.g. Python,

Java, Scala).

• You have excellent problem solving and debugging skills

• Creative, collaborative, and product-focused

• Familiarity with writing and executing automation test

• Familiarity with analytics testing

Additional Requirements

• Experience building applications/services with Python / Java / Scala

• Experience building and monitoring robust data pipelines in distributed computing


• Experience with QA

• Strong understanding of data structures & algorithms

• You have strong written and verbal communication skills

• Experience and in-depth knowledge of open source distributed systems such as Kafka,

Spark, Kubernetes, etc.

• Experience with SQL / NoSQL databases

• Familiarity with open source technologies for data storage, processing & querying like

Presto/Trino, Impala, Iceberg a plus.

• Familiarity with experimentation systems & methods a plus.

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