Data Engineer

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