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Data & Software Engineer

McLean, VA, US • Posted 1 hour ago • Updated 1 hour ago

Full Time

On-site

Fitment

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Job Details

Skills

Data Flow
Java
Data Security
Privacy
Regulatory Compliance
Extract
Transform
Load
Workflow
Orchestration
Cloud Computing
MySQL
PostgreSQL
Performance Tuning
Query Optimization
Analytical Skill
Git
Geospatial Analysis
Bash
Scripting
Data Processing
Machine Learning (ML)
Problem Solving
Conflict Resolution
Debugging
Data Quality
Data Migration
Data Engineering
Documentation
Design Patterns
Computer Science
Finance
Apache Spark
PySpark
Python
Pandas
NumPy
Docker
Amazon Web Services
Amazon S3
Step-Functions
SQL
NoSQL
Amazon DynamoDB
Unity
Operations Support Systems
Apache HTTP Server
Terraform
PostGIS

Summary

Overview

We are seeking a 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:

What will you do?

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
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.

Do you have what it takes?

Active TS/SCI W/ Polygraph required.
Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or equivalent practical experience.
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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL806649
Position Id: de7ef592029520e7e1531e49ef4fbe25
Posted 1 hour ago

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