Hire a Dedicated Data Engineer
Data engineers are the plumbers of the data world — they build the infrastructure that moves data from where it is generated to where it is needed, reliably, at scale, and with the quality guarantees that downstream analysts and AI systems depend on. Our dedicated data engineers design and implement ETL/ELT pipelines, build and maintain data warehouses and lakehouse architectures, write the dbt models that transform raw ingestion data into analytics-ready tables, and instrument the data quality checks that catch issues before they reach a dashboard or a machine learning model. They are the people who make data migration projects succeed, keep reporting pipelines running overnight without manual intervention, and build the data contracts that let your analytics and ML teams move fast without breaking things.
Monthly rate
Part-time
$800 – $1,400/mo
Full-time
$1,600 – $2,800/mo
Western equivalent: ~$11,000/mo
Save up to 75% vs AU/UK/US hire
Why Codalyst Tech
Company-backed — not freelance
You hire through us — a registered company with a clear contract, NDA protection, and an escalation path if anything goes wrong.
Company-backed contract — not a freelancer agreement
Exclusive assignment — not shared across clients
Pre-vetted and interview-approved before you commit
Onboarded within 7 business days
What they do
Responsibilities
What your dedicated Data Engineer will own as part of your team.
- Designing and building ETL / ELT data pipelines from APIs, databases, SaaS tools, and flat files
- Data warehouse and lakehouse architecture (Snowflake, BigQuery, Redshift, Databricks)
- dbt model development: sources, staging models, marts, semantic layer, tests, documentation
- Pipeline orchestration and scheduling (Airflow, Prefect, Dagster, dbt Cloud)
- Data ingestion tool configuration (Airbyte, Fivetran, Stitch)
- Data quality monitoring and alerting (Great Expectations, dbt tests, Soda)
- Schema design and data modelling for analytics use cases (star schema, data vault)
- Supporting data migrations from legacy databases and systems
- Collaborating with data analysts and ML engineers on data contracts and schema evolution
- Pipeline performance optimisation — partitioning, clustering, incremental loads
Expertise
Core skills
Tooling
Tools & platforms
Services this role delivers
Hire for a project instead
Common questions
Everything you need to know before hiring a dedicated Data Engineer.
You hire a specific person — not a rotating pool. We match you with a vetted professional based on your stack, domain, and working style, you conduct a technical interview before committing, and the person is assigned exclusively to your project for the duration of the engagement. They work within your timezone overlap window, join your team's communication tools (Slack, Teams), and participate in your sprint ceremonies. We handle HR, payroll, equipment, and benefits on our side. You direct the work.
Yes — always. We present 1–2 matched candidates with their CV, portfolio, and a summary of why we think they fit your requirements. You interview them before any engagement begins. If the first candidates are not right, we keep searching at no extra cost until you find someone you want to work with.
A data analyst works with existing data to answer business questions — building dashboards, writing SQL queries, producing reports, and identifying trends. A data scientist builds predictive models and runs experiments. Most SMBs need a data analyst. Data science is valuable when you have a specific prediction problem (churn, demand forecasting) with enough data to train a model reliably.
Pakistan Standard Time (PKT) is UTC+5. This creates a 3–5 hour overlap with UK/EU mornings, a 4–6 hour overlap with Middle East business hours, and an async-friendly relationship with US/Canada (with a 2–4 hour overlap possible with early starts). We set timezone expectations upfront and ensure a minimum 3-hour synchronous overlap per day with your team.
Within the first 30 days, if the placement is not working — for any reason — we replace them at no extra cost. After the first 30 days, we require 2 weeks notice to transition to a replacement so there is no knowledge gap. Replacement sourcing is included in your engagement at no additional charge.
Ready to hire a dedicated Data Engineer?
Tell us your requirements and timezone. We will present matched candidates within 7 business days.