Data Engineer

𝗥𝗲𝗺𝗼𝘁𝗲 𝗣𝗮𝗷𝗮𝗺𝗮 𝗝𝗼𝗯𝘀 𝗶𝘀 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗳𝗮𝘀𝘁𝗲𝘀𝘁-𝗴𝗿𝗼𝘄𝗶𝗻𝗴 new remote job boards, on a mission to make finding quality remote work easier, more accessible, and 𝗺𝗼𝗿𝗲 𝗮𝗳𝗳𝗼𝗿𝗱𝗮𝗯𝗹𝗲 𝘁𝗵𝗮𝗻 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝗻𝗴 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀.
We connect job seekers with handpicked remote opportunities, helping them discover their next career move without the hassle or high costs of traditional job boards.
𝗪𝗶𝘁𝗵 𝟭,𝟬𝟬𝟬+ 𝗰𝗮𝗻𝗱𝗶𝗱𝗮𝘁𝗲𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝘂𝘀𝗶𝗻𝗴 𝗼𝘂𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺, we’re building a smarter, more accessible way to connect talent with remote career opportunities. Our goal is to challenge traditional remote job boards with a streamlined, user-friendly experience that puts job seekers first.
Qualifications
Candidates should possess strong Data Engineering and Data Warehousing skills for building and maintaining scalable data infrastructure.
Candidates should possess Data Modeling skills to design efficient, well-structured schemas that support analytics and product needs.
Candidates should possess Extract Transform Load (ETL) skills to create and optimize reliable data pipelines from multiple sources.
Candidates should possess Data Analytics skills to interpret data, support reporting, and collaborate on insight-driven decisions.
Proficiency in SQL and at least one programming language commonly used in data engineering (such as Python or Scala).
Experience with cloud data platforms and services (such as AWS, Azure, or GCP) and modern data tools (for example, Spark, dbt, or Airflow).
Strong problem-solving, documentation, and communication skills, with the ability to collaborate in a remote, distributed environment.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
Experience in data engineering, data integration, or a related technical role.
Strong proficiency in SQL and experience working with relational databases.
Programming experience in Python, Java, Scala, or a similar language.
Hands-on experience developing ETL/ELT pipelines and data transformation workflows.
Knowledge of data warehousing, data modeling, and database design principles.
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Familiarity with data processing frameworks and orchestration tools.
Strong analytical, problem-solving, and troubleshooting skills.
Excellent communication and collaboration skills.
Preferred Qualifications
Experience with platforms such as Snowflake, Databricks, Google BigQuery, Amazon Redshift, or Azure Synapse Analytics.
Familiarity with Apache Spark, Apache Kafka, or other distributed data processing technologies.
Experience with workflow orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
Knowledge of data lake and lakehouse architectures.
Experience with version control systems such as Git and CI/CD practices.
Familiarity with data governance, metadata management, and data observability tools.
Experience working in Agile or cross-functional engineering teams.

Work arrangement
Yes