Data & Analytics

Hire Data Engineers for Pipelines and Warehouses

Data engineers build the pipelines that move data from your apps and tools into one reliable place for reporting and analysis.

The role

What data engineers do

A data engineer connects data sources, builds pipelines and schedules, designs warehouse tables and data models, adds tests and monitoring, and keeps data fresh and correct. Good engineering means analysts can trust the numbers.

Typical deliverables

  • Data pipelines from your sources
  • A data warehouse or lakehouse
  • Data models with dbt
  • Scheduling and monitoring
  • Documentation of data definitions

Tools you will see

  • dbt
  • Airflow or Dagster
  • Snowflake, BigQuery or Redshift
  • Fivetran or Airbyte
  • SQL and Python
  • Spark

Choosing

How to choose data engineers

What to look for

  • Tests on data, not only pipeline code.
  • Clear data models analysts can use.
  • Monitoring and alerts for failed or late pipelines.
  • Cost awareness in cloud warehouses.

Questions to ask

  1. 1Which sources would you connect first?
  2. 2Build or use a tool like Fivetran for ingestion?
  3. 3How do you test that data is correct?
  4. 4How do you control warehouse costs?

Planning

Before you post the job

Start with key reports

Build pipelines for the reports people need most, then expand.

What drives cost

Number of sources, data volume, freshness requirements, and tooling fees.

Hiring on Open Lance

  • Posting a job and reviewing proposals are free.
  • Each milestone is funded into escrow before work starts and paid when you approve it.
  • Hire fixed-price, hourly, as a monthly Dedicated Hire, or buy a packaged Drop-In.
  • Client fees are shown before you pay and added on top of the work.

How escrow and approval work · Pricing

FAQ

Questions about hiring data engineers

What is dbt?

A tool for transforming data in the warehouse with SQL, including tests and documentation.

Do small companies need a data warehouse?

Once data lives in several tools and reports conflict, a simple warehouse often helps.

ETL or ELT?

Modern stacks often load raw data first, then transform it in the warehouse (ELT).

Related

Related skills

Post a job for data engineers

Describe the work and compare proposals. You only fund the first milestone once you have chosen someone.

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