远程工作雷达

数据工程师

Data Engineer

开发工程限定地区（需当地身份）与中国几乎无重叠，需长期倒时差
公司Nearshore Business Solutions
薪资未公开
工作地点Colombia
地域资格限定地区（需当地身份）
时区要求与中国几乎无重叠，需长期倒时差
用工类型Contractor
发布时间2 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制：该职位明确限定在 Colombia 招聘。如果你是位于中国大陆的求职者，通常需要当地工作身份才能投递，或需与雇主确认是否接受独立合同（Contractor）形式合作。
作息提示：与中国几乎无重叠，需长期倒时差。

职位名称：数据工程师
地点：远程 – 拉丁美洲优先（考虑东欧）
合同类型：合同 | 人员补充（6–12个月，可续签）
薪资范围：市场水平
语言要求：专业英语（书面和口语）
我们正在寻找一位具备强大 SQL 技能、实际 Python 经验以及云数据平台知识的数据工程师加入我们的团队。你将在支持平台集成、维护数据管道以及在高影响力的企业环境中实现客户上线方面发挥关键作用。你的工作将直接影响数据可靠性、运营效率，并推动预测技术成功集成到核心规划平台中。
主要职责

  • 使用 Python 和 SQL 构建、维护和排查数据集成和 ETL/ELT 流程。
  • 在 PostgreSQL 和 Snowflake 环境中开发和优化复杂查询。
  • 支持日常数据操作、客户上线活动和平台维护。
  • 监控管道性能，调查问题并实施解决方案以确保可靠性和准确性。
  • 协助将收购的预测技术集成到现有规划平台中。
  • 使用 AWS 服务（包括 S3、RDS 和 EC2）支持基于云的数据基础设施。
  • 与高级工程师紧密合作，提升数据质量、优化工作流程并记录过程。

必须具备的资格

  • 3 年以上数据工程或相关技术领域的经验。
  • 熟练使用 PostgreSQL 和高级 SQL 技能，包括连接、窗口函数、查询优化和存储过程。
  • 扎实的 Python 编程技能，有使用 pandas 和 numpy 等库的经验。
  • 具备 AWS 服务（包括 S3、RDS 和 EC2）的实际操作经验。
  • 有 Snowflake 使用经验，包括数据仓库和查询优化。
  • 理解 ETL/ELT 概念、数据管道和数据集成最佳实践。
  • 有使用 Git 和协作软件开发工作流程的经验。
  • 强大的分析和故障排除能力，注重数据质量和可靠性。
  • 能够在英国工作时间（上午 8:00–下午 5:00 英国时间）工作。
  • 优秀的英语沟通能力，具有积极主动、高度协作的工作风格。

优先考虑的资格

  • 有使用 Airflow、Prefect 或类似平台等编排工具的经验。
  • 了解……
查看英文原文

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

本页面信息整理自 Himalayas，版权归原发布方所有。职位可能随时关闭，投递请以原始页面为准。 本站只做信息聚合展示，不参与招聘流程，也不向求职者收取任何费用。

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