Data Engineer in DevRank

Closed job - No longer receiving applicants

DevRank specializes in IT Staff Augmentation and Software Development Services across the entire product lifecycle using a cost efective model, with resources in the US, Central and South America, Eastern Europe and Asia

Our team is passionate about offering companies the services that best suit them:

• IT Staff Augmentation for customers that are looking for a specific professional to complement their current team
• Full Project Development for customers that need an entire Project Development from scratch to end and have no team to do it
• Payroll Services for Companies that need to pay their professionals but don't have the local entity to do it

Job functions

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.


  • Design, develop, and optimize data architecture and pipelines that adhere to ETL principles and business goals.
  • Responsible for maintaining and evolving critical datasets such as key metrics, royalty calculations, financial forecasting and performance management.
  • Design and implement data pipelines with requirements for scalability, availability and quality.
  • Communicate insights and recommendations to key stakeholders, engineering, data science and product partners.
  • Code, test, and document new or modified data systems.

Qualifications and requirements

  • Bachelor's degree in Computer Science (or related field).
  • 3+ years of relevant work experience in the development of high-quality database solutions.
  • Strong coding skills, preferably Scala, Java and Python in a data-focused role.
  • Experience performing analysis with large datasets in a cloud based-environment, preferably with an understanding of Google’s Cloud Platform or AWS.
  • Experience on big-data environments, such as Hadoop, Spark, Pig, BigQuery or Hive.
  • Strong communication and data presentation skills (Tableau, PowerBI or Qlik).
  • Excellent English communication skills.

Desirable skills

  • Expertise in building out data pipelines, efficient ETL implementation and maintenance.
  • Experience with Agile or Scrum software development methodologies.


Fully remote You can work from anywhere in the world.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Informal dress code No dress code is enforced.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

Life's too short for bad jobs.
Sign up for free and find jobs that are truly your match.