Senior Big Data Engineer — Spark/Databricks on AWS

Softserve

United States

Remote

USD 120,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

SoftServe University
Medical insurance
Food vouchers
Extra days off
Dare to Care
Anniversary Program

Job summary

Ulvior is seeking a senior data engineer to design and maintain scalable batch and streaming data pipelines. You will work with Python, SQL, Spark, Databricks, and AWS services to deliver reliable data solutions across teams.

You will collaborate with engineering, AI, and product teams to support analytics and AI-enabled use cases, while ensuring performance, reliability, and cost efficiency of data platforms.

Qualifications

  • 5+ years of professional experience in Big Data, Data Engineering, or related fields.
  • Strong Python and SQL; Java is a plus.
  • Hands-on with Spark, distributed processing, and Databricks.
  • Experience building data solutions on AWS (Glue, Athena, Aurora).
  • Experience with PostgreSQL and MySQL.
  • Familiar with Airflow and Kafka.
  • CI/CD, version control, and Terraform IaC.
  • Knowledge of GenAI, MLOps, or AI platform integrations is a plus.
  • English at upper-intermediate level or higher.

Responsibilities

  • Design, develop, and maintain scalable batch and distributed data pipelines.
  • Build and optimize data processing solutions for performance, reliability, and cost.
  • Collaborate with engineering, AI, and product teams on analytics and AI use cases.
  • Develop data solutions using Python, SQL, Spark, Databricks, and AWS services (Glue, Athena, Aurora).
  • Work with PostgreSQL and MySQL to support data workflows.
  • Develop and maintain Airflow workflows and reliable data pipelines.
  • Contribute to CI/CD and IaC using Terraform; assist testing and production support.
  • Engage in architecture discussions to improve data platforms.

Skills

Big Data
Data Engineering
Python
SQL
Java
Apache Spark
Databricks
AWS Glue
Amazon Athena
Amazon Aurora
PostgreSQL
MySQL
Airflow
Kafka
CI/CD
Terraform
GenAI
MLOps
AI Platform
English

Tools

Apache Airflow
Terraform
PostgreSQL
MySQL

Job description

Ulvior is seeking a senior data engineer to design and maintain scalable batch and streaming data pipelines. You will work with Python, SQL, Spark, Databricks, and AWS services to deliver reliable data solutions across teams.

You will collaborate with engineering, AI, and product teams to support analytics and AI-enabled use cases, while ensuring performance, reliability, and cost efficiency of data platforms.

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