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](https://himalayas.app)