Data Engineer

At ByteForth, data is the foundation of intelligent systems. As we scale our AI engineering capabilities and automation workflows, we need exceptional data engineers who can architect, build, and optimize the data infrastructure that powers brutally efficient applications for our global clients.

This is a career-defining opportunity to work on challenging data problems at scale — from real-time streaming pipelines to complex ETL workflows — while collaborating with Pakistan's top 1% engineering talent, all from the comfort of your home.

Role Overview

As a Data Engineer at ByteForth, you'll own the complete data lifecycle for our AI-powered SaaS platforms and client projects. You'll design and implement robust data pipelines, optimize database architectures, and ensure our data infrastructure scales seamlessly as our applications grow. Your work will directly enable machine learning models, business intelligence dashboards, and automation systems that process millions of data points daily.

You'll collaborate closely with our AI engineers, backend developers, and product teams to transform raw data into actionable insights and reliable data products.

Key Responsibilities

• ▹Design and build scalable data pipelines that ingest, transform, and deliver data from multiple sources to various destinations, ensuring reliability and fault tolerance
• ▹Develop ETL/ELT workflows using modern data orchestration tools to support analytics, reporting, and machine learning initiatives
• ▹Architect and optimize data warehouses and lakes that enable efficient querying, storage, and retrieval of structured and unstructured data
• ▹Implement data quality frameworks including validation, monitoring, and alerting systems to maintain data integrity across all pipelines
• ▹Build real-time streaming solutions for event-driven architectures and time-sensitive data processing requirements
• ▹Optimize database performance through indexing strategies, query optimization, and schema design for both SQL and NoSQL systems
• ▹Collaborate with AI/ML teams to create feature stores and data preparation pipelines that accelerate model development and deployment
• ▹Document data architecture and establish best practices for data governance, security, and compliance across the organization

What We Look For

• ▹3 to 5 years of hands-on experience building and maintaining production data pipelines in cloud environments
• ▹Strong programming skills in Python or Scala, with deep knowledge of data manipulation libraries like Pandas, PySpark, or Dask
• ▹Expert-level SQL proficiency across multiple database systems (PostgreSQL, MySQL, Snowflake, BigQuery, or similar)
• ▹Production experience with data orchestration tools such as Apache Airflow, Prefect, Dagster, or equivalent workflow engines
• ▹Solid understanding of data modeling including dimensional modeling, normalization, and schema design principles
• ▹Experience with cloud data platforms (AWS, GCP, or Azure) including services like S3, Redshift, BigQuery, or Data Lake solutions
• ▹Knowledge of distributed computing frameworks like Apache Spark, Hadoop, or Flink for processing large-scale datasets
• ▹Strong grasp of data engineering best practices including version control, testing, CI/CD pipelines, and infrastructure as code

Nice-to-Haves

• ▹Experience with real-time streaming platforms like Apache Kafka, AWS Kinesis, or Google Pub/Sub
• ▹Familiarity with containerization and orchestration tools (Docker, Kubernetes) for deploying data applications
• ▹Knowledge of data visualization tools and business intelligence platforms (Tableau, Looker, Power BI, Metabase)
• ▹Experience implementing data mesh or data fabric architectures in distributed systems
• ▹Understanding of machine learning workflows and MLOps practices, including feature engineering and model serving

What We Offer

• ▹Competitive annual compensation ranging from PKR 1,800,000 to PKR 3,600,000 based on experience and expertise, paid consistently and on time
• ▹100% remote work freedom — work from anywhere in Pakistan with flexible hours that respect your productivity rhythm
• ▹Zero bureaucracy culture — no micromanagement, no unnecessary meetings, just autonomous work with clear objectives and trust
• ▹Cutting-edge technical challenges — build data infrastructure for AI applications, automation systems, and brutalist SaaS products that push boundaries
• ▹Top-tier team collaboration — learn from and work alongside Pakistan's top 1% engineering talent across disciplines
• ▹Growth-focused environment — access to learning resources, technical mentorship, and opportunities to expand into AI/ML engineering or architecture roles

How to Apply

Ready to build data infrastructure that powers the next generation of intelligent applications? We'd love to hear from you. Submit the application form below with your resume, portfolio, or GitHub profile showcasing your data engineering work. Tell us about a complex data pipeline you've built and the impact it delivered.

We review applications on a rolling basis and will reach out within one week if there's a mutual fit.