Data Engineer Ssr/Sr (ETL · NiFi/Glue · PySpark · AWS)

• Location: LATAM (preferably Argentina CABA/AMBA region)

• Job Type: Remote (hybrid expected for CABA/AMBA)

• Project: Data Infrastructure Modernization

• Time Zone: GMT-3 (Buenos Aires time)

• English Level: B2 / C1

Get to Know Us

At Darwoft, we build digital products with heart. Were a Latin American tech company focused on creating impactful, human-centered software in partnership with companies around the globe. Our remote-first culture is built on trust, continuous learning, and collaboration.

Were passionate about tech, but even more about people. If youre looking to join a team where your ideas matter and your impact is real welcome to Darwoft.

Were Looking For a Data Engineer

Were looking for a skilled Data Engineer to help lead our migration from on-premise data processes to a scalable cloud-native environment. Youll design and optimize ETL/ELT pipelines using modern tools, and play a key role in ensuring efficiency, scalability, and high-quality data integration as we move to the cloud.

Note: Candidates located in CABA/AMBA will be expected to attend some in-person ceremonies.

What Youll Be Doing

• Design, develop, and optimize ETL/ELT processes using NiFi, AWS Glue, EMR, or Informatica Cloud.

• Migrate and adapt existing ETL workflows from on-premise to cloud infrastructure.

• Ingest and process unstructured data into Data Lakes, ensuring seamless integration with other data sources.

• Implement and fine-tune scalable data workflows with Apache Spark or PySpark.

• Develop automation and data processing scripts in Python as part of robust data pipelines.

• Collaborate closely with solution architects and cross-functional teams to ensure smooth cloud transitions.

• Build cloud-based pipelines (preferably on AWS) with scalability and performance in mind.

• Maintain comprehensive documentation of data architecture and processes for clarity and support.

What You Bring

• Proven experience developing ETL/ELT jobs in both on-premise and cloud environments.

• Hands-on experience with tools such as NiFi, AWS Glue, EMR, or Informatica Cloud.

• Solid background in migrating data workflows to the cloud.

• Familiarity with ingesting and transforming unstructured data within Data Lakes.

• Proficiency in Apache Spark or PySpark for distributed data processing.

• Strong Python scripting skills for automation within data pipelines.

• Cloud experience, ideally with AWS (other cloud platforms are a plus).

• Strong analytical and problem-solving skills with a focus on optimizing complex data workflows.

Nice to Have

• AWS or other cloud platform certifications.

• Experience with other data orchestration/integration tools.

• Background in large-scale migration or cloud optimization projects.

• Understanding of data governance and security in cloud environments.

Perks & Benefits

• Full-time contract with payment in ARS

• 100% remote work

• Competitive salaries

• Legal leave and vacation days

• 5 extra personal days off per year

• Access to top learning platforms

• Benefits and discounts card

• Welcome kit

• Reimbursement programs

• English classes

• Referral program

• Birthday gift

• Healthy Break

• Darwoft-style celebrations: anniversaries, year-end parties, birthdays, and fun team-building events