Sr Data Engineer
Pittsburgh, PA
$67,303 - $128,791 (Glassdoor Est.)
Rating Highlights
Compensation & Benefits: 2.9
Culture & Values: 3.4
Career Opportunities: 3.4
Work/Life Balance: 3.3
Job & Company Insights
Job Type: Full-time
Job Function: data engineer
Industry: Information Technology
Size: 501 to 1000 Employees


EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world's largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees.

We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency.


As a Senior Data Engineer, you will lead data engineering initiatives and build end-to-end scalable, stable, and secure analytical solutions . You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems.


  • Design, implement and operate large-scale, centralized high-volume, high-performance data structures for analytics and data science.
  • Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes.
  • Work with Project Manager to understand business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
  • Assist SWE team with identifying in code key events and data to be logged to populate the data structures used for dashboarding
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.


  • Degree in Computer Science, Engineering, Mathematics, or a related field or 7+ years industry experience.
  • Demonstrated strength in data modelling, ETL development, and data warehousing experience with Oracle, Redshift, PostgreSQL, etc.
  • Advanced SQL and query performance tuning skills.
  • Experience building data products incrementally and integrating and managing data sets from multiple sources.
  • Coding proficiency in Python programming language.

EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor.


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