Databricks Data Engineer

Horizon Industries Limited

Completely RemoteContractInformation Technology
Posted Today

Job description

Responsibilities

  • Build end-to-end implementation of multiple ETL/ELT pipelines for efficient data transformation and ingestion
  • Assess and understand ETL jobs, workflows, BI tools, and reports
  • Address technical inquiries concerning customization, integration, and enterprise architecture
  • Craft database and data warehouse solutions in the cloud (AWS, Azure, or GCP)
  • Manipulate, process, and extract value from large, structured, and unstructured datasets
  • Support an Agile software development lifecycle

Requirements

  • Bachelor's degree in Computer Science or a technical field
  • 4+ years of experience in data engineering and big data
  • 2+ years of professional services experience interacting directly with clients
  • Extensive knowledge of data warehousing and hands-on experience deploying pipelines using Databricks
  • Proficiency in Python, SQL, and AWS Data Services
  • Experience with big data tools such as Hadoop, Spark, or Kafka
  • Experience with AWS cloud services (EC2, S3, Glue, EMR, etc.)
  • Ability to hold a position of public trust with the US government

Preferred Qualifications

  • Databricks Data Engineer Professional certification
  • Experience with R, Scala, or Go
  • Experience architecting scalable solutions across Azure and AWS

Benefits

  • Comprehensive healthcare (medical, dental, vision, and disability)
  • 401k program with 100% vesting from day one and employer match after 90 days
  • Educational Assistance program
  • Student Loan Repayment Program
  • Gym Reimbursement Program
  • Paid Time Off

About the Company

Horizon Industries Limited (Horizon) is a dynamic IT and Management Consulting firm based in the Washington, DC area. Founded in 1996, Horizon provides full-cycle IT Consultant and Management support in both the private and public sectors.

Skills & tools

DatabricksPythonAWS

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Bachelor's degree in Computer Science or technical field
  2. 024+ years data engineering experience
  3. 032+ years client-facing professional services experience
  4. 04Proficiency in Python, SQL, and Databricks
  5. 05Experience with AWS cloud services
  6. 06Ability to hold US government public trust
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