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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Software Engineer - **Company:** Avalore, LLC - **Location:** Ocean City, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Amazon S3, Apache HTTP Server, Bash Shell, Big Data, Computer Programming, System Configuration, Information Engineering, Extract Transform Load (ETL), Data Security, Software Debugging, Software Design Patterns, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Metadata Repositories, MySQL, NoSQL, NumPy, Operational Databases, Performance Tuning, PostGIS, Query Optimization, Azure Machine Learning, Software Deployment, SQL Databases, Data Streaming, Systems Integration, Data Processing, Cloud Platform System, Apache Spark, Git, Cloudformation, Pandas, Containerization, Pyspark, Data Lineage, Terraform, Data Pipelines, Docker - **Published:** July 28, 2026 - **Apply:** https://www.dice.com/job-detail/034d7015-c43e-4021-be47-73de005b0401 ## About the Role The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale. Candidate must have experience: * Building end-to-end data pipelines leveraging Python * Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs * Containerizing and deploying applications in cloud environments like AWS. * Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads. * Leveraging industry standard tools for code control (Git, IaaC control, etc.) * Working with data catalogs, tracking data lineage and handling a variety of data formats, including Geospatial. * Using Bash scripting for automation and data processing tasks * Integrating Al/ML services and models, Minimum of 5 years' experience with: * Apache Spark & PySpark * Advanced Python skills (including Pandas & NumPy) * Docker, Podman * AWS S3, Lambda & Step functions * Apache Iceberg, Airflow, etc. * SQL (with Trino) * NoSQL, DynamoDB * Unity Catalog OSS, Apache Polaris * Apache Superset * Terraform or CloudFormation * OpenLineage * H3, PostGIS ## Description * Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight * Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks * Leverage a background in large-scale data migration or platform modernization efforts * Contribute to data engineering documentation, best practices, and design patterns. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Vectorize all the things! 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