Java Software Engineer

Dice lists a Data Engineer role focused on building scalable data solutions for analytics, reporting, machine learning, and data-driven decision-making. The role develops trusted datasets, reliable pipelines, and data platforms while maintaining performance, quality, governance, and operational excellence.

Responsibilities

Design, build, and maintain scalable data pipelines, data models, and data products using Java, Python, SQL, and cloud-native data engineering patterns

Apply strong coding standards, modular design, automated testing, version control, CI/CD, and code review practices to data engineering solutions

Build and deploy data workloads on Azure platforms such as ADLS, Azure Data Factory, Synapse, Databricks, Microsoft Fabric, and related services as applicable

Implement reliable deployment automation, monitoring, logging, alerting, and operational controls to keep data pipelines and services stable in production

Collaborate with platform teams to improve tooling, automation, CI/CD, monitoring, and observability

Utilize version control and software engineering best practices to maintain high-quality code

Partner with Product Managers, Analysts, Data Scientists, and Software Engineers to deliver business value

Contribute to data engineering standards, design reviews, and documentation

Continuously identify opportunities to improve reliability, scalability, and efficiency across the data ecosystem

Preferred

familiarity in Java or other backend programming languages

Experience with Azure Synapse, Databricks, Snowflake, BigQuery, Redshift, or similar platforms

Experience with orchestration tools such as Airflow, Synapse Pipelines, Dagster, or dbt

Familiarity with CI/CD, Infrastructure as Code, and DevOps practices

Experience supporting machine learning workflows through feature engineering and training data preparation

Exposure to data observability, monitoring, testing, and governance tools

Knowledge of event-driven architecture and real-time data processing

Azure Data Engineer or equivalent cloud certification

Java

Backend Programming

Snowflake

BigQuery

Amazon Redshift

Data Platforms

Apache Airflow

Synapse Pipelines

Dagster

dbt

Workflow Orchestration

Infrastructure as Code

DevOps

Machine Learning Workflows

Feature Engineering

Training Data Preparation

Data Observability

Data Testing

Data Governance

Event-Driven Architecture

Real-Time Data Processing

Azure Data Engineer Certification

Cloud Certification

Company

Tech career marketplace connecting professionals with recruiters

Centennial, Colorado, USA

https://www.or-quest.nl/

Founded in 1990

201-500 employees

Qualifications

Bachelor's degree in computer science, Engineering, Information Systems, or a related field

3+ years of experience in Data Engineering, Analytics Engineering, Software Engineering, or related disciplines

Strong proficiency in Python and SQL

Proven experience building batch and streaming data pipelines, transformation frameworks, data models, and reusable data engineering components

Hands-on experience with Azure data services such as ADLS, ADF, Synapse, Databricks, Microsoft Fabric, or equivalent cloud data platforms

Strong understanding of design patterns, modular coding, error handling, automated testing, CI/CD, Git-based workflows, and production-grade engineering practices

Experience implementing data validation, monitoring, logging, lineage, and alerting to ensure trusted and reliable data products

Familiarity with Git, CI/CD pipelines, containerization concepts, and deployment automation for data engineering workloads

Familiarity in Java or other backend programming languages

Experience with Azure Synapse, Databricks, Snowflake, BigQuery, Redshift, or similar platforms

Experience with orchestration tools such as Airflow, Synapse Pipelines, Dagster, or dbt

Familiarity with CI/CD, Infrastructure as Code, and DevOps practices

Experience supporting machine learning workflows through feature engineering and training data preparation

Exposure to data observability, monitoring, testing, and governance tools

Knowledge of event-driven architecture and real-time data processing

Azure Data Engineer or equivalent cloud certification

3+ years of experience in Data Engineering, Analytics Engineering, Software Engineering, or related disciplines.

Required skills

Python, SQL, Java, Batch and Streaming Data Pipelines, Data Modeling, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Databricks, Git, CI/CD, Automated Testing

Preferred skills

familiarity in Java or other backend programming languages, Azure Data Engineer or equivalent cloud certification, Dice is the go-to career marketplace for tech professionals., Centennial, Colorado, USA, https://www.or-quest.nl/, H1B Sponsorship, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, 73, Represents job field similar to this job, Engineering and Development, Management and Executive, Trends of Total Sponsorships, *2022, (2), 2021, (4), 2020, (5), Growth Stage, Leadership Team, Daniel Hinck, Client Success Partner, Kalyn Thorne, Client Success Partner - Enterprise, Recent News, WebProNews, 68% of Tech Pros Distrust AI Hiring, Dice Study Shows, 2025-08-25, PC Gamer

Experience

3+ years