Data Engineer

Zachary Piper
McLean, VA, United States
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$120,000.0 - $225,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Systems Engineering Microsoft Azure Big Data Cloud Computing Information Systems Computer Literacy Continuous Delivery Continuous Integration Data Architecture
+13 more
Information Engineering Distributed Systems Python (Programming Language) Software Deployment Solution Deployment Descriptor User-Centered Design Scripting Google Cloud Cloud Platform System Apache Spark Information Technology Data Management Machine Learning Operations

Job description

Are you a skilled Data Engineer seeking an opportunity to make a real impact? Look no further! Zachary Piper Solutions is actively seeking engineers for our McLean, VA office., * Deliver a wide range of high-value technical projects, including designing and building reference architectures, developing how-to guides, and operationalizing customer use cases.

  • Partner with Engagement Managers to scope professional services work based on customer needs and desired outcomes.
  • Guide strategic customers through transformational big data initiatives and third-party migrations, including end-to-end design, build, and deployment of advanced data and AI applications.
  • Provide architectural guidance and hands-on implementation support to ensure successful evaluation and adoption of Zachary Piper Solutions.
  • Serve as an escalation point for complex operational issues during customer engagements.
  • Collaborate closely with Zachary Piper Solutions technical teams, Project Managers, Architects, and customer stakeholders to ensure all technical components are delivered effectively.
  • Work with Engineering and Customer Support to share product feedback, resolve engagement-specific issues, and improve the overall customer experience.

Requirements

  • Experienced in Apache Spark (Must have)
  • 6+ years of experience in data engineering, data platforms, or analytics
  • Proficiency in Python or Scala
  • Working knowledge of at least two major cloud ecosystems (AWS, Azure, GCP) and deep expertise in one
  • Strong experience with distributed computing using Apache Spark and familiarity with Spark runtime internals
  • Understanding of CI/CD practices for production deployments
  • Working knowledge of MLOps concepts and workflows
  • Experience designing and deploying scalable, performant end-to-end data architectures
  • Proven ability to deliver technical projects, manage scope, and meet timelines
  • Strong documentation, communication, and whiteboarding skills
  • Experience working directly with customers and navigating conflict or ambiguity
  • Ability to build new technical skills that support Zachary Piper Solutions solution deployment and integration
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience, Amazon Web Services (AWS), Apache Spark, Architectural Services, Artificial Intelligence (AI), Big Data, Cloud Computing, Communication Skills, Computer Science, Computer Skills, Continuous Deployment/Delivery, Continuous Integration, Customer Experience, Distributed Computing, Documentation, Ecosystems, GCP (Good Clinical Practices), Microsoft Windows Azure, Product Support, Professional Services, Project Design, Project/Program Management, Python Programming/Scripting Language, Sales/Support Engineering (SE), Scala Programming Language, Systems Engineering, Technical Delivery, Technical Support, Time Management, Use Cases

Benefits & conditions

  • Salary Range: $120,000 - $225,000 based on experience
  • Comprehensive Benefits: Medical, dental, vision, PTO, 401k, Holiday

Keywords:

Apache Spark, Apache, AI/ML, AI, AWS, Azure, GCP, CI/CD, Machine Learning, Python, Scala

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:04 min

Introduction to Bitcoin script parsing tools

Steve Shadders · LIVE

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · WWC 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all