Senior Data Engineer

About Remote

Remote is solving global remote organizations’ biggest challenge: employing anyone anywhere compliantly. We make it possible for businesses big and small to employ a global team by handling global payroll, benefits, taxes, and compliance. Check out remote.com/how-it-works to learn more or if you’re interested in adding to the mission, scroll down to apply now.

Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter.

All of our positions are fully remote. You do not have to relocate to join us!

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

• Significant experience modelling in popular data transformation frameworks (dbt, Airflow, etc.) and strong SQL proficiency
• Significant experience working with popular cloud data warehouses (Snowflake, Databricks, BigQuery, etc.)
• Strong knowledge of data modelling techniques (Kimball, Data Vault, etc.)
• Experience working with BI tools (Looker, Tableau, Sigma, Metabase, etc.)
• Strong affinity towards well crafted software - version control, testing, CI/CD (Gitlab, Github, etc.)
• A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment
• Strong collaboration, documentation and communication skills
• Strong experience delivering large projects (with a significant data modelling component) autonomously
• Experience mentoring and coaching other members of Data teams
• Experience in dealing with ambiguity, working together with stakeholders on taking abstract concepts and turning them into data models that can answer a variety of questions
• You are a kind, empathetic, and patient person
• Write and speak fluent English
• Nice to haves: high-growth tech company experience, experience working remotely, software/data engineering experience, python development experience

Key responsibilities

• Data modelling:
  • Design, develop, and maintain dbt (Data Build Tool) models for data transformation and analysis, providing clean and reliable data models to end users enabling them to get accurate and consistent answers in our BI tools.
  • Able to deliver large projects autonomously, acting as the expert in all data modelling concerns, from project scoping through to execution
  • Collaborate with Data Analysts and business stakeholders to understand their reporting and analysis needs, translate them into concrete requirements, and deliver effective data solutions.
  • Own our internal dbt conventions and best practices, keeping our code-base clean and efficient (including code reviews for peers), and scaling the dbt project with the organisation.
• Data quality:
  • Ensure data quality and consistency by implementing data testing, validation and cleansing techniques.
  • Implement monitoring solutions to track the health and performance of the data present in our warehouse.
• Drive our culture of documentation:
  • Create and maintain data documentation & definitions, including data dictionaries and process flows.
  • Share knowledge and provide guidance to peers, creating an environment that empowers collective growth.

Practicals

• You'll report to: Engineering Manager - Data
• Team: Data - Analytics Engineering
• Location: Anywhere in the World
• 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. (async) Profile review
2. Interview with recruiter
3. Interview with future manager
4. (async) Small challenge
5. (async) Challenge Review
6. Interview with team members (no managers present)
7. Prior employment verification check(s)
8. (async) Offer
9.  

#LI-DP

Benefits

Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters:

• work from anywhere
• unlimited personal time off (minimum 4 weeks)
• quarterly company-wide day off for self care
• flexible working hours (we are async)
• 16 weeks paid parental leave
• mental health support services
• stock options
• learning budget
• home office budget & IT equipment
• budget for local in-person social events or co-working spaces

How you’ll plan your day (and life)

We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async.

You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs.

If that sounds like something you want, apply now!

How to apply

1. Please fill out the form below and upload your CV with a PDF format.
2. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.
3. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.

We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to.

Please note we accept applications on an ongoing basis.