Overview
On Site
$60+
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
.NET
Agile
Analytical Skill
Analytics
Apache Hadoop
Apache Hive
Apache NiFi
Apache Oozie
Apache Spark
Big Data
Business Data
C#
Cloudera Impala
Coaching
Communication
Computer Science
Customer Experience
Data Processing
English
Fluency
Git
Java
Jenkins
Machine Learning (ML)
Management
Mentorship
Microsoft SQL Server
Modeling
Object-Oriented Programming
Open Source
Predictive Analytics
Python
RDBMS
React.js
SQL
Scala
Software Design
Splunk
Spring Framework
Statistics
Team Building
TypeScript
Use Cases
Workflow
Writing
Job Details
Role: Senior Data Engineer
Location: Onsite (Arlington, VA)
Interview: 3 rounds (all Teams)
Required technical skills:
- Spark, Hadoop platform & tools (Hive, Impala, Nifi, Oozie, Scoop)
- Databricks
- Python, SQL
- Knowledge of Splunk or other alerting and monitoring solutions.
- Fluent in the use of Git, Jenkins.
Position Responsibilities:
As a Sr. Data Engineer, you will:
Lead the scoping, design and implementation of complex features
Lead and push the boundaries of analytics and powerful, scalable applications
Design and implement intuitive, responsive UIs that allow issuers to better understand data and analytics
Build and maintain analytics and data models to enable performant and scalable products
Ensure a high-quality code base by writing and reviewing performant, well-tested code
Mentor junior software engineers and teammates
Drive innovative improvements to team development processes
Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features
Collaborate across teams with exceptional peers who are passionate about what they do
Ideal Candidate Qualifications:
5+ years of full stack engineering experience in an agile production environment
Experience leading the design and implementation of large, complex features in full-stack applications
Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it
Experience leveraging open source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analyses
High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
Experience coaching and mentoring junior teammates
Experience leading a large technical effort that spans multiple people and teams
Proficiency with Java/Spring Boot, .NET/C#, React, Redux, Typescript, and SQL Server or other object-oriented languages, front-end frameworks, and/or relational database technologies
Strong technologist with proven track record of learning new technologies and frameworks
Customer-centric development approach
Passion for analytical / quantitative problem solving
Experience identifying and implementing technical improvements to development processes
Collaboration skills with experience working with people across roles and geographies
Motivation, creativity, self-direction, and desire to thrive on small project teams
Superior academic record with a degree in Computer Science or related technical field
Strong written and verbal English communication skills
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.