Data Engineer(USA ONLY)

We are looking for a sharp Data Engineer to join our Company . We are not just moving data from Point A to Point B; we are building the foundation that allows our business to make decisions in seconds, not days.

You will build, optimize, and maintain the pipelines that power our analytics, machine learning, and reporting.

**What You’ll Actually Do:**

Design & Build: Architect scalable ETL/ELT pipelines to ingest data from APIs, databases, and third-party tools into our [Snowflake/BigQuery/Redshift] warehouse.

Optimize: Tune SQL queries that are currently running slower than a Sunday driver. Make them fast.

Data Modeling: Build star schemas, data marts, and dimensional models that actually make sense to our analysts.

Reliability: Implement data quality checks to ensure we never send the CEO a report with duplicate rows again.

Collaborate: Work with Data Scientists (to get them the clean data they need) and Software Engineers (to instrument new event tracking).

**Who You Are:**

We know you won't have everything. But you must have this foundation:

SQL Pro: You write complex joins, window functions, and CTEs in your sleep. You know the difference between INNER and LEFT and when to use which.

Python Power: You are comfortable writing Python (or Scala/Java) for data processing (Pandas, PySpark, or standard libraries).

ETL Logic: You understand the difference between Batch vs. Streaming, and Full vs. Incremental loads.

**Why you should apply:**

Real Impact: You won't just be "maintaining legacy pipelines." You will build greenfield projects.

Growth: We pay for certifications (AWS, Databricks) and encourage conference attendance.

Autonomy: We trust you. We care about the outcome, not the clock you punch.

**Benefits:**

Competitive salary + Equity.

Health/Dental/Vision.

Home office stipend.

Flexible PTO .