JobCubby JobCubby
Sign up
D

Data Engineer / Junior–Middle

Data Never Lies $42K–$62K/yr

Data Infrastructure and Analytics · 11-50 employees

May 28
Remote data-engineer Mid (2-5 yrs) Full-time
Log in to apply, save this posting, or score it against your profile with AI.

About the role

The role involves connecting to various data sources to extract, process, and load data into a data warehouse for analytics and BI reporting. You will be responsible for building stable, fault-tolerant data pipelines that include logging, monitoring, and data quality checks.

What they look for

Python SQL Data pipelines REST APIs ETL/ELT PostgreSQL BigQuery Snowflake Redshift Git Data warehousing JSON Cloud storage Monitoring Troubleshooting Data quality

Requirements

Candidates must have strong Python and SQL skills with practical experience in building data pipelines and integrating with REST APIs. Experience with data warehousing, ETL/ELT processes, and version control systems like Git is required.

Benefits

Variety of projects Flexible schedule Collaborative team environment Exposure to diverse global domains

Full description

This is a remote position.

We are looking for a Junior/Middle Data Engineer with a strong focus on Python, SQL, and building data pipelines.

The main responsibility of this role is connecting to various data sources, extracting data via REST APIs, databases, files, and third-party platforms, processing it, and loading it into a data warehouse for further analytics and BI reporting.

We are looking for someone who understands that a data pipeline is not just a script, but a stable process with logging, error handling, retries, monitoring, and data quality checks.

Location: Kazakhstan/Remote

Requirements

Required Skills & Experience

  • Strong knowledge of Python and practical experience using it in data engineering tasks.
  • Experience building data pipelines for loading, processing, and transforming data.
  • Experience working with various data sources: REST APIs, databases, CSV/Excel/JSON files, cloud storage, and third-party platforms.
  • Hands-on experience integrating with REST APIs: authentication, pagination, rate limits, retries, timeout handling, and error handling.
  • Understanding of how to build fault-tolerant pipelines.
  • Experience setting up incremental data loading and handling partial loads.
  • Ability to work with JSON and semi-structured data.
  • Strong SQL knowledge: JOINs, CTEs, aggregates, and window functions.
  • Experience loading data into databases or data warehouses such as PostgreSQL, BigQuery, Snowflake, Redshift, MS SQL, or similar systems.
  • Understanding of ETL/ELT approaches.
  • Experience with logging, monitoring, and basic troubleshooting of pipelines.
  • Experience working with Git.

Nice to Have

  • Experience working with dbt: models, sources, tests, documentation, incremental models.
  • Experience with Spark / PySpark.
  • Experience using orchestration tools such as Airflow, Prefect, Dagster, or similar.
  • Experience implementing data quality checks: freshness, duplicates, completeness, consistency.
  • Experience working with cloud storage: AWS S3, Google Cloud Storage, Azure Blob Storage.
  • Experience with Docker.
  • Understanding of dimensional modelling principles: fact/dimension tables, star schema, data marts.
  • Experience optimizing SQL queries and pipelines.

Bonus Points

  • Experience working with BI tools such as Power BI, Tableau, Looker, QuickSight, Domo, or similar.
  • Experience preparing datasets for BI reporting and analytical data marts.
  • Basic understanding of cloud platforms such as GCP, AWS, or Azure.
  • Experience with CI/CD for data projects.
  • Ability to document pipeline logic, data sources, and transformations clearly.

Benefits

  • A variety of projects: trust us, you won’t be bored.
  • A sane schedule: we focus on tasks, not hours—but showing up at noon every day isn’t exactly smiled upon.
  • A team that values expertise and humor: yes, we occasionally crack jokes about SQL—don’t worry if you don’t laugh right away.
  • Choose your adventure: Dive deep into a single, large-scale project or opt for a “discovery” mode, collaborating with multiple global clients across different domains. You can get hands-on with cutting-edge data stacks for anything from gaming and dating to skyscraper construction and nuclear energy. If variety is what you crave, you’ll find it here.

Similar roles