Job Closed

This listing is no longer active.

Jamf logo
Jamf

The Standard in Apple Enterprise Management

BI Data Engineer, Level II

Data EngineerData EngineerFull TimeRemoteMid LevelTeam 1,001-5,000Since 2002H1B SponsorCompany SiteLinkedIn

Location

Poland

Posted

61 days ago

Salary

0

Seniority

Mid Level

Bachelor Degree2 yrs expEnglishCloudDockerKubernetesPythonSQL

Job Description

BI Data Engineer, Level II

Jamf

• Generate and maintain complex data sets needed for analytics. • Combine multiple data sets to produce resultant datasets for large scale analytics. • Collaborate with Data Analysts to help create datasets supporting predictive modeling. • Design solutions to move data between multiple systems and tools to produce meaningful datasets. • Create scripts, tools, or other software solutions to help enforce data governance policies. • Understand business KPIs and the definitions used in reporting on them. • Collaborate with business units to identify and measure additional KPIs in support of further efforts. • Collaborate with Data stewards to improve data health, quality, and governance. • Understand and execute within the data quality metrics set by the Data stewards. • Assist data quality initiatives by engineering solutions to enforce data governance policies. • Assist data quality initiatives by automated transformation of errant data. • Maintain an understanding of the data creating business processes. • Collaborate with Data Analysts to create innovative ways to deliver data and insights to internal customers. • Maintain an understanding of the reporting and analytics tools used by the Data Analysts. • Support one time needs to extract, transform, and load data sets in existing tools and systems. • Assist in identifying and choosing new tools used by the Business Intelligence team. • Monitor and assist in issue resolution from our service desk.

Job Requirements

  • Bachelor’s Degree in Mathematics, Computer Science or related field.
  • 2-4 years experience in scripting languages for modifying large data sets like Python and SQL (Required).
  • Experience in a customer centric environment (Required).
  • 2 - 4 years in extraction, transformation, and loading of large data sets (Required).
  • 2+ years experience leveraging and deploying solutions in Amazon’s cloud environment (Preferred).
  • Working knowledge of using Docker/Kubernetes (Preferred).
  • 2+ years Experiencing extracting, modifying, and updating data from Salesforce (Preferred).
  • Working within a fast paced, agile environment.

Benefits

  • Named one of Forbes Most Trusted Companies in 2024.
  • We know that big ideas can come from anyone, so we empower everyone to make an impact. Our more than 90% employee retention rate agrees!
  • You will have the opportunity to make a real and meaningful impact for more than 50,000 global customers with the best Apple device management solution in the world.
  • We put people over profits – which is why our customers keep coming back to us.
  • We encourage you to simply be you. We constantly seek and value different perspectives to ensure Jamf is a place where everyone feels comfortable and can be successful.
  • 23 of 25 world’s most valuable brands rely on Jamf to do their best work (as ranked by Forbes).
  • Over 100,000 Jamf Nation users, the largest online IT community in the world.

Related Categories

Related Job Pages

More Data Engineer Jobs

Kynite logo

Enterprise Data Architect

Kynite

Technology Done Right

Data Engineer61 days ago
ContractRemoteTeam 11-50H1B No Sponsor

• Develop database solutions to store and retrieve company information • Install and configure information systems to ensure functionality • Analyze structural requirements for new software and applications • Migrate data from legacy systems to new solutions • Design conceptual and logical data models and flowcharts • Improve system performance by conducting tests, troubleshooting and integrating new elements • Optimize new and current database systems • Define security and backup procedures • Coordinate with the Data Science department to identify future needs and requirements • Provide operational support for Management Information Systems (MIS)

Oregon
BeyondTrust logo

Senior Data Engineer

BeyondTrust

Protect identities, stop threats, and deliver dynamic access to empower and secure a work-from-anywhere world.

Data Engineer61 days ago
Full TimeRemoteTeam 1,001-5,000Since 1985H1B Sponsor

• Take ownership of data modelling to solve complex identity security problems. • Solve complex analytical problems across disparate systems to provide a unified view of security posture in the datalake • Optimize data workloads at a software level by improving processing efficiency. • Identify opportunities for engineering process improvement and collaborate with senior resources to execute a plan of action. • Use monitoring and observability best practices to ensure optimal pipeline performance. • Assist with ML Operations to ensure optimal model efficiency. • Leverage CI/CD best practices to effectively develop and release source code.

United States
Software Technology Inc. logo

Data Engineer

Software Technology Inc.

Creating Exceptional Experiences | Digital Transformations| Staffing & Recruiting

Data Engineer61 days ago
ContractRemoteTeam 201-500Since 2004H1B No Sponsor

• Develop and deploy data pipelines for streaming and batch data sources • Create data models and implement business logic using required tools and languages • Collaborate with teams for performance tuning and data processing • Utilize Azure and Spark technologies in daily tasks

Virginia
DataChef logo

Data Engineer

DataChef

We develop Data Mesh, Data Lake and Predictive Analytics solutions on AWS to demystify data and simplify information.

Data Engineer61 days ago
Full TimeRemoteTeam 11-50H1B No Sponsor

• Design and build a green field data mesh platform on AWS. • Create a scalable data foundation for a large distribution company. • Help in building stream processing backend using AWS services, Spark and Kafka. • Ensure that the data pipelines are robust and handle low-quality raw data effectively. • Work collaboratively within a small team to achieve project goals.

Netherlands