Senior Data Engineer

What this job can offer you

This is an exciting time to join the growing Data Team at Remote, which today consists of over 15 Data Engineers, Analytics Engineers and Data Analysts spread across 10+ countries. Throughout the team we're focused on driving business value through impactful decision making. We're in a transformative period where we're laying the foundations for scalable company growth across our data platform, which truly serves every part of the Remote business. This team would be a great fit for anyone who loves working collaboratively on challenging data problems, and making an impact with their work. We're using a variety of modern data tooling on the AWS platform, such as Snowflake and dbt, with SQL and python being extensively employed.

This is an exciting time to join Remote and make a personal difference in the global employment space as a Senior Data Engineer, joining our Data team, composed of Data Analysts and Data Engineers. We support the decision making and operational reporting needs by being able to translate data into actionable insights to non-data professionals at Remote. We’re mainly using SQL, Python, Meltano, Airflow, Redshift, Metabase and Retool.

What you bring

• 5+ years of experience in data engineering; high-growth tech company experience is a plus
• Strong experience with building data extraction/transformation pipelines (e.g. Meltano, Airbyte) and orchestration platforms (e.g. Airflow)
• Strong experience in working with SQL, data warehouses (e.g. Redshift) and data transformation workflows (e.g. dbt)
• Solid experience using CI/CD (e.g. Gitlab, Github, Jenkins)
• Experience with data visualization tools (e.g. Metabase) is considered a plus
• A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment
• You have strong collaboration skills and enjoy mentoring
• You are a kind, empathetic, and patient person
• Writes and speaks fluent English
• It's not required to have experience working remotely, but considered a plus

Key Responsibilities

• Playing a key role in Data Platform Development & Maintenance:
  • Managing and maintaining the organization's data platform, ensuring its stability, scalability, and performance.
  • Collaboration with cross-functional teams to understand their data requirements and optimize data storage and access, while protecting data integrity and privacy.
  • Development and testing architectures that enable data extraction and transformation to serve business needs.
• Improving further our Data Pipeline & Monitoring Systems:
  • Designing, developing, and deploying efficient Extract, Load, Transform (ELT) processes to acquire and integrate data from various sources into the data platform.
  • Identifying, evaluating, and implementing tools and technologies to improve ELT pipeline performance and reliability.
  • Ensuring data quality and consistency by implementing data validation and cleansing techniques.
  • Implementing monitoring solutions to track the health and performance of data pipelines and identify and resolve issues proactively.
  • Conducting regular performance tuning and optimization of data pipelines to meet SLAs and scalability requirements.
• Dig deep into DBT Modelling:
  • Designing, developing, and maintaining DBT (Data Build Tool) models for data transformation and analysis.
  • Collaboration with Data Analysts to understand their reporting and analysis needs and translate them into DBT models, making sure they respect internal conventions and best practices.
• Driving our Culture of Documentation:
  • Creating and maintaining technical documentation, including data dictionaries, process flows, and architectural diagrams.
  • Collaborating with cross-functional teams, including Data Analysts, SREs (Site Reliability Engineers) and Software Engineers, to understand their data requirements and deliver effective data solutions.
  • Sharing knowledge and offer mentorship, providing guidance and advice to peers and colleagues, creating an environment that empowers collective growth

Practicals

• You'll report to: Engineering Manager - Data
• Team: Data 
• Location: For this position we welcome everyone to apply, but we will prioritise applications from the following locations as we encourage our teams to diversify; Vietnam, Indonesia, Taiwan and South-Korea
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce.  We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is $53,500 USD to $131,300 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

1. Interview with recruiter
2. Interview with future manager
3. Async exercise stage 
4. Interview with team members

#LI-DP