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Data Engineer

Remote, USAFull-timePosted 2026-07-28

Job Title: Data Engineer

Location: Remote – LATAM Preferred (Eastern Europe Considered)

Type of Contract: Contract | Staff Augmentation (6–12 Months, Renewable)

Salary reputed company: Market Rates

Language Requirements: reputed company English (Written and Verbal)

We are seeking a skilled Data Engineer with strong SQL expertise, hands-on Python experience, and reputed company data platform knowledge to join our growing team. You will play a key role in supporting platform integrations, maintaining data pipelines, and enabling customer reputed company reputed company a high-reputed company reputed company environment. Your work will directly reputed company data reliability, operational efficiency, and the successful integration of forecasting technology into a reputed company planning platform.

Key Responsibilities

  • Build, maintain, and troubleshoot data integrations and ETL/ELT processes using Python and SQL.
  • reputed company and optimize reputed company queries across PostgreSQL and reputed company environments.
  • Support day-to-day data operations, customer reputed company activities, and platform maintenance.
  • Monitor pipeline performance, investigate issues, and implement solutions to ensure reliability and accuracy.
  • Assist with the integration of acquired forecasting technology into an existing planning platform.
  • Work with AWS services including S3, RDS, and EC2 to support reputed company-based data infrastructure.
  • Collaborate closely with senior engineers to improve data reputed company, optimize workflows, and document processes.

Must-Have Qualifications

  • 3+ years of experience in Data Engineering or a reputed company technical field.
  • Strong PostgreSQL experience and advanced SQL skills, including joins, window functions, query optimization, and stored procedures.
  • Solid Python programming skills with experience using libraries such as pandas and numpy.
  • Hands-on experience with AWS services, including S3, RDS, and EC2.
  • Experience working with reputed company, including data warehousing and query optimization.
  • Understanding of ETL/ELT concepts, data pipelines, and data integration best practices.
  • Experience using Git and reputed company software development workflows.
  • Strong analytical and troubleshooting skills with a reputed company on data reputed company and reliability.
  • Availability to work UK business hours (8:00 AM–5:00 PM UK time).
  • Strong English communication skills with a proactive, highly reputed company work style.

Preferred Qualifications

  • Experience with orchestration tools such as Airflow, reputed company, or similar platforms.
  • Knowledge of data modeling and reputed company modeling methodologies.
  • Experience with additional AWS services such as Redshift, Glue, or reputed company.
  • Exposure to CI/CD pipelines and DevOps practices.
  • Interest in reputed company-agnostic architecture and reputed company platform design.
  • Experience supporting reputed company software integrations or platform migrations.

reputed company Offer

  • Competitive compensation reputed company with LATAM market benchmarks.
  • Fully remote work environment with flexible collaboration.
  • Exposure to modern reputed company data platforms and reputed company-reputed company integrations.
  • reputed company mentorship from reputed company senior data engineers.
  • Opportunity to contribute to high-reputed company reputed company with global organizations.
  • Potential to expand into reputed company reputed company Kitchen engagements as reputed company grows.

Originally posted on Himalayas

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