Senior Data Platform Engineer — Pipelines & Analytics

Nexa Blooms; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Nexa Blooms in New York is seeking a Data Engineer to help clients stand up modern data platforms, from ingestion to trusted analytics, with reliability and governance baked in.

You will design batch and streaming pipelines on cloud data platforms, model data for analytics and operational use, implement data quality, lineage, and access controls, and collaborate with analysts and data scientists to productionize workloads.

Qualifications

• 4+ years of data engineering experience.
• Proficiency in Python or Scala and SQL.
• Hands-on with Spark, dbt, Snowflake, BigQuery, or Databricks.
• Experience with orchestration tools (Airflow, Dagster, or similar).

Responsibilities

• Design batch and streaming pipelines on cloud data platforms
• Model data for analytics and operational use cases
• Implement data quality, lineage, and access controls
• Partner with analysts and data scientists to productionize workloads

Skills

Python

SQL

Tools

Spark

dbt

Snowflake

BigQuery

Databricks

Airflow

Dagster

Job description

Nexa Blooms in New York is seeking a Data Engineer to help clients stand up modern data platforms, from ingestion to trusted analytics, with reliability and governance baked in.

You will design batch and streaming pipelines on cloud data platforms, model data for analytics and operational use, implement data quality, lineage, and access controls, and collaborate with analysts and data scientists to productionize workloads.