Senior Data Engineer

Remote

Actively hiring, first seen by us 7 days ago

Pay: USD 3,000–4,500/month — pay source
Compensation: 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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Work setting: Remote — work setting source
Listed location: Remote
Read the full posting
Employment: Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting

What you’ll work on

Full posting

Design, build, and maintain data pipelines and analytics solutions in Databricks
Write and optimize SQL (including Spark SQL) and Python for data processing
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

From the employer’s posting

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.

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.

What you’ll bring

All qualifications

Core experience

5+ years as a Data Analyst, Data Engineer, or similar role
Extensive hands-on experience with Databricks
Practical programming in SQL and Python
Advanced user-level experience with cloud services and platforms
Fluent, business-level English

Qualification wording

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

Extensive hands-on experience with Databricks.

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

Advanced user-level experience with cloud services and platforms.

Fluent, business-level English.

Apply at GoFasti

Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 27, 20267 days ago
Recorded sightings: 9
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

GoFasti is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Databricks
Power BI
SAP
Spark

Where the posting names them

- 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.

- 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.

It's a plus: - Experience with Spark SQL. - Exposure to SAP S/4HANA or other ERP data.

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.

- Good understanding of DevOps tools and CI/CD methods. - Extensive hands-on experience with Databricks. - Advanced user-level experience with cloud services and platforms.

- 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.

- 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:

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Your next step

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.
Fluent, business-level English.

It's a plus:

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.
This is a one-year project with the possibility of an extension based on the client's needs.
This position is for a full time contract, through a payroll platform.
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!

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