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Data Engineer

Pay
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Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s 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
  • Develop and improve services to load, transform and consume data

  • Support data science and operations projects that rely on data infrastructure

  • Improve scalability, resource-efficiency, latency and flexibility of data services

From the employer’s posting
Develop and improve services to load, transform and consume data
Interact with data science and operations PMs to keep a deep understanding of their business needs and support projects that rely on data infrastructure
A constant pursuit for improvements in aspects like scalability, resource-efficiency, latency and flexibility for our data services

What you’ll bring

All qualifications

Core experience

  • Sound knowledge of Python for data manipulation
  • Experience as software engineer in data warehouse / ETL projects
  • Sound knowledge of relational and non-relational databases (PostgreSQL, MongoDB)
  • Experience with Kafka, Cassandra, Airflow or Spark
  • Experience with data visualization tools (Tableau, Metabase, Power BI)

Preferred experience

  • A product mindset that weighs engineering cost against product benefit
Qualification wording
Sound knowledge of data manipulation programming, particularly Python
Experience as software engineer in Datawarehouse / ETL projects
Sound knowledge in relational and non-relational databases (PostgreSQL, MongoDB)
Experience in technologies like Kafka, Cassandra, Airflow and Spark
Experience with data visualization tools (Tableau, Metabase, Power BI)
A product mindset, in which engineering costs are measured against the benefits to our product

Tools in this posting

  • Python
  • Kafka
  • Metabase
  • MongoDB
  • PostgreSQL
  • Power BI
  • Spark
  • Tableau
  • Airflow
Source — Tool mentions in context
There is not a single skill set to make valuable contributions, we are looking forward to meet people with diverse backgrounds. However, we believe you will be a fit for this position if some of these points are part of your profile: · Sound knowledge of data manipulation programming, particularly Python; · Experience as software engineer in Datawarehouse / ETL projects;
· Sound knowledge in relational and non-relational databases (PostgreSQL, MongoDB) · Experience in technologies like Kafka, Cassandra, Airflow and Spark Company Description
· Experience as software engineer in Datawarehouse / ETL projects; · Experience with data visualization tools (Tableau, Metabase, Power BI); · A product mindset, in which engineering costs are measured against the benefits to our product;
· A product mindset, in which engineering costs are measured against the benefits to our product; · Sound knowledge in relational and non-relational databases (PostgreSQL, MongoDB) · Experience in technologies like Kafka, Cassandra, Airflow and Spark

About Adimplere

Adimplere is a debt collection Fintech, with a tech-intensive approach to deliver great recovery performances to our partners and a seamless experience to the customer.

In the employer’s words · Read in context

Posting record

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Open 4 monthsWe first saw this posting 124 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 3, 2026124 days ago
Recorded sightings
39
Last seen by us
Nov 4, 2026
Employer says posted
Feb 22, 2021

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 124

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 10,764 similar postings that came down. Coming down is not always a hire.

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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 ↗

Job Description

Our Data Chapter

Adimplere is a technology-oriented company that is rethinking debt collection in Brazil. We are looking for outstanding Data Engineers to help us build a world-class data infrastructure.

We believe in:

·       Strongly collaborative teams;

·       Enthusiasm for building new products features and improvements;

·       Environment which supports professional development. Though very pragmatic, we do study a lot and we promote discussions across all seniority levels (You may discuss Multicolumn Indexing with the CEO occasionally);

·       Constructive feedback culture, either formal and informal.

 

What are the challenges a Data Engineer will face at Adimplere?

 

·       Develop and improve services to load, transform and consume data, employing cutting edge technologies and the best tools available in the market;

·       Interact with data science and operations PMs to keep a deep understanding of their business needs and support projects that rely on data infrastructure;

·       A constant pursuit for improvements in aspects like scalability, resource-efficiency, latency and flexibility for our data services;

At Adimplere we have massive and complex datasets with conversation texts, images, user behavior events and operation data. We have a wide range of data applications like machine learning algorithms, data discovery, dashboards and periodic reporting to customers.

Qualifications

Requirements

There is not a single skill set to make valuable contributions, we are looking forward to meet people with diverse backgrounds. However, we believe you will be a fit for this position if some of these points are part of your profile:

·       Sound knowledge of data manipulation programming, particularly Python;

·       Experience as software engineer in Datawarehouse / ETL projects;

·       Experience with data visualization tools (Tableau, Metabase, Power BI);

·       A product mindset, in which engineering costs are measured against the benefits to our product;

·       Sound knowledge in relational and non-relational databases (PostgreSQL, MongoDB)

·       Experience in technologies like Kafka, Cassandra, Airflow and Spark

Company Description

About Adimplere

Adimplere is a debt collection Fintech, with a tech-intensive approach to deliver great recovery performances to our partners and a seamless experience to the customer. The company aims to maintain itself as the top performer in the market and continuously improve the credit collection efficiency. The Brazilian debt collection market is currently dominated by outdated players whose operations are focused on massive and inefficient call centers. Adimplere outperforms the traditional players by using a data-driven operation and artificial intelligence on several steps of its processes.

Our headquarter is located in São Paulo, with a top-notch team of professionals. Adimplere has a challenging working environment and a meritocratic culture.

Source details

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Pay

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Location & working pattern

São Paulo, SP, Brazil

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