Data Engineer

<h3>Job Title: Data Engineer</h3><p>Location: Remote – LATAM Preferred (Eastern Europe Considered)</p><p>Type of Contract: Contract | Staff Augmentation (6–12 Months, Renewable)</p><h3>Salary Range: Market Rates</h3><p>Language Requirements: Professional English (Written and Verbal)</p><p>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.</p><h3>Key Responsibilities</h3><ul><li>Build, maintain, and troubleshoot data integrations and ETL/ELT processes using Python and SQL.</li><li>Develop and optimize complex queries across PostgreSQL and Snowflake environments.</li><li>Support day-to-day data operations, customer onboarding activities, and platform maintenance.</li><li>Monitor pipeline performance, investigate issues, and implement solutions to ensure reliability and accuracy.</li><li>Assist with the integration of acquired forecasting technology into an existing planning platform.</li><li>Work with AWS services including S3, RDS, and EC2 to support cloud-based data infrastructure.</li><li>Collaborate closely with senior engineers to improve data quality, optimize workflows, and document processes.</li></ul><h3>Must-Have Qualifications</h3><ul><li>3+ years of experience in Data Engineering or a related technical field.</li><li>Strong PostgreSQL experience and advanced SQL skills, including joins, window functions, query optimization, and stored procedures.</li><li>Solid Python programming skills with experience using libraries such as pandas and numpy.</li><li>Hands-on experience with AWS services, including S3, RDS, and EC2.</li><li>Experience working with Snowflake, including data warehousing and query optimization.</li><li>Understanding of ETL/ELT concepts, data pipelines, and data integration best practices.</li><li>Experience using Git and collaborative software development workflows.</li><li>Strong analytical and troubleshooting skills with a focus on data quality and reliability.</li><li>Availability to work UK business hours (8:00 AM–5:00 PM UK time).</li><li>Strong English communication skills with a proactive, highly collaborative work style.</li></ul><h3>Preferred Qualifications</h3><ul><li>Experience with orchestration tools such as Airflow, Prefect, or similar platforms.</li><li>Knowledge of data modeling and dimensional modeling methodologies.</li><li>Experience with additional AWS services such as Redshift, Glue, or Lambda.</li><li>Exposure to CI/CD pipelines and DevOps practices.</li><li>Interest in cloud-agnostic architecture and scalable platform design.</li><li>Experience supporting enterprise software integrations or platform migrations.</li></ul><h3>What We Offer</h3><ul><li>Competitive compensation aligned with LATAM market benchmarks.</li><li>Fully remote work environment with flexible collaboration.</li><li>Exposure to modern cloud data platforms and enterprise-scale integrations.</li><li>Direct mentorship from experienced senior data engineers.</li><li>Opportunity to contribute to high-impact projects with global organizations.</li><li>Potential to expand into future Insight Kitchen engagements as the company grows.</li></ul><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

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