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 1d 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 1d ago
The date the source published, not the day we noticed it (2026-09-30). Last seen at its source 1h ago.
We have tracked this listing since 30 Sep 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Campinas
The description agrees: it names Brazil.
What the ad says
…Location: Brazil Mode: Remote We are seeking a Senior Data Engineer wi…
Pay not stated
Similar roles pay $90k–150k/yr
Middle 50% of 24 listings that do state pay — Engineering · all levels · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 1d ago · last seen 1h ago
The listing
Job Title: Senior Data Engineer
Key Skills: Snowflake, T-SQL Python, Terraform, AWS, Docker.
Location: Brazil
Mode: Remote
We are seeking a Senior Data Engineer with strong expertise in Python to design, build, and enhance our data platform utilizing AWS and Snowflake. As a technical reference within the team, you will contribute to architectural decisions while ensuring data quality, reliability, and governance. This role involves developing production-grade Python solutions, including integrations with external APIs and SDKs, as well as custom logic for data pipeline orchestration.
Key Responsibilities
- Design and maintain scalable data pipelines using Airflow (MWAA).
- Develop production-grade Python code for API/SDK integrations, data processing, and custom pipeline orchestration.
- Model and evolve the Snowflake Data Warehouse and build transformations with dbt.
- Define architecture, development standards, and best practices.
- Manage infrastructure as code with Terraform.
- Ensure data quality, monitoring, and reliability using Grafana, CloudWatch, and automated testing.
- Implement data governance practices, including cataloging, lineage, and access control.
- Optimize cost and performance across Snowflake, AWS, and Spark.
- Build and maintain CI/CD processes for data pipelines and models.
Required Skills & Qualifications
- Solid experience as a Data Engineer in production environments.
- Advanced Python (version 3.x), including production applications, external APIs/SDKs, error handling, testing, and maintainable code.
- Advanced T-SQL, including query tuning.
- Experience with Snowflake and dbt.
- Proficiency in AWS, especially S3, Lambda, EMR, and ECS.
- Experience with Terraform or equivalent IaC tools.
- Familiarity with Docker, CD practices.
- Knowledge of DATA MODELING and Data Governance.
- Experience with monitoring and Observability tools.
Preferred Skills
- Experience with APACHE SPARK / PY-SPARK.
- Familiarity with Agentic AI, LLMs, and AWS Bedrock.
- Knowledge of additional AWS services such as Glue, Athena, Secrets Manager, SNS, VPC, EC2, and AppFlow.
- Experience with InfluxDB and OpenSearch.
- Familiarity with Collibra Connect, GUIDEWIRE DATA HUB.
- Experience with Great Expectations or Elementary.
- Familiarity with Azure Devops.
- Knowledge of FinOps and cloud cost optimization.
Posted On: 29-09-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.