Data & Software Engineer

Avalore, LLC
Ocean City, NJ, United States
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+30 more
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

Job 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.

Requirements

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

Benefits & conditions

  • Employer-Paid Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA) with a generous matching program
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Employee Assistance Program

Apply for this position

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