Senior Java Software Engineer (Data)

SoftServe, Inc.

United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Part-time (≤ 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Languages

English

Job source

arc.dev

Tech stack

Java (Programming Language) BigQuery Databases Continuous Integration Data Architecture Information Engineering Data Integration Extract Transform Load (ETL) Data Systems Database Queries Data Flow Control Liquibase

+7 more

SQL Databases Management of Software Versions Enterprise Data Management Scripting Google Cloud Gitlab-ci Data Pipelines

Job description

In this role, you will contribute to building a modern Enterprise Data Platform for a large US-based healthcare provider serving thousands of hospitals worldwide. You will work on cloud-native data solutions on Google Cloud Platform, helping improve data quality, analytics efficiency, and data-driven decision-making across the organization., * Design, build, and maintain scalable data processing pipelines on Google Cloud Platform to support enterprise analytics use cases

Take ownership of data engineering components that improve data quality, reliability, and performance across the platform
Collaborate closely with data engineers, architects, and business stakeholders to translate requirements into production-ready data solutions
Develop and optimize batch and streaming pipelines using Dataflow and related GCP services
Work with SQL-based data modeling and integrations across BigQuery, CloudSQL, and other data sources
Support schema versioning and database changes using migration tools such as Liquibase or Flyway
Contribute to CI/CD pipelines and automation using GitLab CI or similar tools
Participate in proof-of-concept initiatives, platform optimization, and the adoption of modern data architectures such as data mesh or lakehouse

Requirements

3+ years of commercial experience as a Java Software Engineer with a strong focus on Data Engineering
Hands-on experience with Google Cloud Platform and services such as Dataflow, BigQuery, Composer, and CloudSQL
Strong SQL skills and solid experience with databases, data integrations, and connectivity patterns
Practical knowledge of schema migration tools such as Liquibase or Flyway
Experience working with CI/CD tools, preferably GitLab CI
Understanding of building and maintaining ETL or ELT data pipelines
Python scripting skills and knowledge of modern data architectures are a plus
Upper-intermediate or higher English level with the ability to communicate effectively in international teams
Strong collaboration skills, ownership mindset, and readiness to work on enterprise-scale solutions