1184 - Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 6d ago
The date the source published, not the day we noticed it (2026-10-27). Last seen at its source just now.
We have tracked this listing since 27 Oct 2026 (6 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Pay
$3,000–4,500/mo
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 6d ago · last seen just now
The listing
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:
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Design, build, and maintain data pipelines and analytics solutions in Databricks.
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Write and optimize SQL (including Spark SQL) and Python code for data processing and analysis.
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Work with developers and IT teams to deliver data analytics projects.
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Apply DevOps practices and CI/CD methods to data workflows.
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Build and support Power BI reports and dashboards.
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Contribute to data modeling, data management and data governance standards.
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Roll up your sleeves on day-to-day technical work, not only design and oversight.
Requirements:
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Minimum 5 years of experience as a Data Analyst, Data Engineer, or similar role.
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Background in software development and IT projects related to data analytics.
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Practical programming knowledge in SQL and Python, and experience working with developers.
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Good understanding of DevOps tools and CI/CD methods.
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Extensive hands-on experience with Databricks.
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Advanced user-level experience with cloud services and platforms.
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Experience with visualization tools such as Power BI.
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Solid understanding of data modeling, data management and data governance.
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Fluent, business-level English.
It's a plus:
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Experience with Spark SQL.
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Exposure to SAP S/4HANA or other ERP data.
Compensation:
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The salary range offered for this position varies from (USD) $3,000 - $4,500 per month, depending on seniority and skillset.
- This is a one-year project with the possibility of an extension based on the client's needs.
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This position is for a full time contract, through a payroll platform.
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The talent will work remotely allocated at our client.
Here are the steps for this process:
Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.
Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.
Note for Candidates Approached Directly:
If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.
Thank you!