Data Engineer

SadaPay; United States; Remote; USD 30,000 - 60,000; Full time

Benefits offered by this job

Fully remote

USD salary paid in PKR

Job summary

SadaPay is seeking a data engineer to own a production data platform that unifies transaction records, partner feeds, and internal events for reconciliation, reporting, risk analysis, and trusted customer data access.

You will work across ingestion, processing, warehouse modelling, and operational reliability, collaborating with finance, risk, operations, and product stakeholders, using Python, SQL, Kafka, S3, Redshift, and dbt to ensure correctness and scalable data workflows.

Qualifications

• In-depth experience building and operating production data pipelines.
• Strong Python and SQL skills with performance troubleshooting.
• Practical AWS data services experience including S3 and Redshift.
• Experience with Kafka or similar event streams and dbt modelling.
• Emphasis on data correctness, safe reruns, and traceability.

Responsibilities

• Operate and extend event-driven pipelines using Kafka, S3, and cloud compute.
• Maintain reliability, improve documentation, and remove obsolete workflows.
• Ingest and export partner data, reconciling with internal sources.
• Build and maintain warehouse models, tests, and lineage; monitor performance and cost.
• Protect data through access controls, auditability, and secure handling of regulated data.

Skills

Python

SQL

Kafka

dbt

AWS

Tools

S3

Redshift

Data catalogue

Tabular modelling

Job description

Role overview

Own a production data platform that brings together transaction records, partner feeds, and internal events. The platform supports financial reconciliation, reporting, risk analysis, and trusted access to customer data, so the role spans ingestion, processing, warehouse modelling, and operational reliability. You’ll work across a broad platform with finance, risk, operations, and product stakeholders.

Responsibilities

• Operate and extend event-driven pipelines using Kafka, S3, scheduled jobs, and cloud-based serverless or container compute.


• Keep production pipelines reliable, make failures visible, and improve documentation; remove obsolete or duplicate workflows.


• Ingest and export partner data, investigating mismatches and ensuring records reconcile with internal sources.


• Build and maintain warehouse models, tests, documentation, and lineage; monitor freshness, query performance, and cost.


• Protect personal and financial information through access controls, auditability, and appropriate handling of regulated data.

Requirements

• At least three years building and operating production data pipelines.


• Strong Python and SQL skills, including the ability to investigate slow transformations.


• Practical experience with AWS data services, including S3, cloud compute, a data catalogue, and a warehouse such as Redshift.


• Experience consuming or producing Kafka or another event stream.


• Experience with dbt or a comparable modelling layer, including testing and documentation.


• A focus on data correctness, safe reruns, and being able to trace how reported figures were produced; regular use of AI tools in practical work.

Nice to have

• Financial reconciliation, partner file exchange over SFTP, or work in payments, fintech, or another regulated environment.


• Terraform or equivalent infrastructure as code, CI/CD for data workloads, and lakehouse practices such as Parquet, partitioning, or compaction.


• Data observability experience, BI tooling such as Tableau, or handling sensitive data with masking, tokenisation, and access controls.

Benefits and work setup

• Fully remote, with Karachi, Islamabad, or Lahore preferred; full-time and part-time arrangements are listed.


• Salary is denominated in USD and paid in PKR, subject to the employer’s stated terms.