Senior Data Engineer

Writing

United States

Remote

USD 33,000 - 50,000

Full time

3 days ago
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Job summary

GoFasti, a Talent-as-a-Service platform, seeks a Senior Data Engineer for remote work, based in Latin America, available to collaborate with global clients.

You will design, build, and maintain data pipelines in Databricks, write SQL and Python for data processing, and develop Power BI dashboards while adopting DevOps practices for analytics projects.

This one-year project offers remote work with potential extension based on client needs.

Qualifications

  • Minimum 5 years of experience in data analytics or data engineering roles.
  • Strong programming skills in SQL and Python for data processing and analysis.
  • Hands-on Databricks experience and cloud services familiarity required.
  • Experience building Power BI reports and dashboards for business insight.
  • Solid understanding of data modeling, governance, and data management principles.
  • Experience with Spark SQL and ERP data exposure preferred.
  • Knowledge of DevOps practices and CI/CD in data workflows.

Responsibilities

  • Design, build, and maintain data pipelines and analytics solutions in Databricks.
  • Write and optimize SQL (including Spark SQL) and Python code for data processing and analysis.
  • Collaborate with developers and IT teams on data analytics projects.
  • Apply DevOps practices and CI/CD methods to data workflows.
  • Build and support Power BI reports and dashboards.
  • Contribute to data governance and data management standards.
  • Engage in day-to-day hands-on technical work, not only design.

Skills

SQL
Python
Databricks
Power BI
DevOps
CI/CD
Data modeling
Data governance
Spark SQL
ERP data

Job description

Senior Remote Posted 2 days ago RemoteFirstJobs Product

AI summary: Designs and maintains data pipelines, writes SQL/Python code, builds Power BI dashboards, and applies DevOps practices to analytics solutions on Databricks.

Description

We Make Remote Work Remarkable TopTalent from LatAm

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Senior Data Engineer, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who’s constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities

Design, build, and maintain data pipelines and analytics solutions in Databricks.

Write and optimize SQL (including Spark SQL) and Python code for data processing and analysis.

Work with developers and IT teams to deliver data analytics projects.

Apply DevOps practices and CI/CD methods to data workflows.

Build and support Power BI reports and dashboards.

Contribute to data modeling, data management and data governance standards.

Roll up your sleeves on day‑to‑day technical work, not only design and oversight.

Requirements

Minimum 5 years of experience as a Data Analyst, Data Engineer, or similar role.

Background in software development and IT projects related to data analytics.

Practical programming knowledge in SQL and Python, and experience working with developers.

Good understanding of DevOps tools and CI/CD methods.

Extensive hands‑on experience with Databricks.

Advanced user-level experience with cloud services and platforms.

Experience with visualization tools such as Power BI.

Solid understanding of data modeling, data management and data governance.

Experience with Spark SQL.

Exposure to SAP S/4HANA or other ERP data.

Compensation

The salary range offered for this position varies from (USD) $3,000 - $4,500 per month, depending on seniority and skillset.

Thisisaone-yearprojectwiththepossibilityofanextensionbasedontheclient’sneeds.

This position is for a full time contract, through a payroll platform.

The talent will work remotely allocated at our client.

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