Job Title: Data Engineer

Location: Remote – LATAM Preferred (Eastern Europe Considered)

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

Salary Range: Market Rates

Language Requirements: Professional English (Written and Verbal)

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

Key Responsibilities

Build, maintain, and troubleshoot data integrations and ETL/ELT processes using Python and SQL.
Develop and optimize complex queries across PostgreSQL and Snowflake environments.
Support day-to-day data operations, customer onboarding 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 cloud-based data infrastructure.
Collaborate closely with senior engineers to improve data quality, optimize workflows, and document processes.

Must-Have Qualifications

3+ years of experience in Data Engineering or a related 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 Snowflake, including data warehousing and query optimization.
Understanding of ETL/ELT concepts, data pipelines, and data integration best practices.
Experience using Git and collaborative software development workflows.
Strong analytical and troubleshooting skills with a focus on data quality and reliability.
Availability to work UK business hours (8:00 AM–5:00 PM UK time).
Strong English communication skills with a proactive, highly collaborative work style.

Preferred Qualifications

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

What We Offer

Competitive compensation aligned with LATAM market benchmarks.
Fully remote work environment with flexible collaboration.
Exposure to modern cloud data platforms and enterprise-scale integrations.
Direct mentorship from experienced senior data engineers.
Opportunity to contribute to high-impact projects with global organizations.
Potential to expand into future Insight Kitchen engagements as the company grows.

Originally posted on Himalayas

Data Engineer