Data Engineer

Django REST framework; California (MO); Remote; USD 94,000 - 130,000; Full time

Job summary

An innovative SaaS company is seeking a Data Engineer to join their dynamic team. This role involves designing and developing data pipelines, participating in the architecture of a modern data warehouse, and collaborating with various stakeholders to meet business needs. With a focus on continuous improvement, you will have the opportunity to shape the data foundation that drives the company's growth. Join a forward-thinking organization that values transparency, equitable pay, and a positive work culture, offering comprehensive benefits and a remote work environment.

Benefits

Unlimited PTO

401k + matching

Equity Option Grant

Comprehensive medical benefits

Wellness initiatives

Free gym membership

Learning budget

Home office budget

Profit sharing

No whiteboard interview

Qualifications

• 3-5 years of experience in data engineering and analytics solutions.
• Deep understanding of data pipelines and distributed architectures.
• Experience with cloud platforms like AWS and GCP.

Responsibilities

• Design and develop data pipelines for analytics and reporting.
• Collaborate with stakeholders to understand data needs.
• Ensure data quality and integrity across pipelines.

Skills

SQL

Python

Data Engineering

ETL/ELT

Agile Methodologies

Data Warehousing

Data Modeling

Machine Learning

Cloud Administration

API Development

Education

Bachelor's Degree in Computer Science or related field

Relevant Certifications

Tools

Snowflake

Big Query

Redshift

Data bricks

Airflow

Job description

Restaurant365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides aunique, centralized solution for accounting and back-office operations for restaurants. Restaurant365’s culture is focused on empowering team members to produce top-notch results while elevating their skills. We’re constantly evolving and improving to make sure we are and always will be “Best in Class” … and we want that for you too!

Restaurant365 is looking for an experienced Data Engineer to join our data warehouse team thatenables the flow of information and analytics across the company. The Data Engineer will participate in the engineering of our enterprise data lake, data warehouse, and analytic solutions. This is a key role on a highly visible team that will partner across the organization with business and technical stakeholders to create the objects and data pipelines used for insights, analysis, executive reporting, and machine learning. You will have the exciting opportunity to shape and grow with a high performingteam and the modern data foundation that enables the data-driven culture to fuel the company’s growth.

How you'll add value:

• Participate in the overall architecture, engineering, and operations of a modern data warehouse and analytics platforms.
• Design and develop the objects in the Data Lake and EDW that serve as core building blocks for the semantic layer and datasets used for reporting and analytics across the enterprise.
• Develop data pipelines, transformations (ETL/ELT), orchestration, and job controls using repeatable software development processes, quality assurance, release management, and monitoring capabilities.
• Partner with internal business and technology stakeholders to understand their needs and then design, build and monitor pipelines that meet the company’s growing business needs.
• Look for opportunities for continuous improvements that automate workflows, reduce manual processes, reduce operational costs, uphold SLAs, and ensure scalability.
• Use an automated observability framework for ensuring the reliability of data quality, data integrity, and master data management.
• Partner closely with peers in Product, Engineering, Enterprise Technology, and InfoSec teams on the shared enterprise needs of a data lake, data warehouse, semantic layer, transformation tools, BI tools, and machine learning.
• Partner closely with peers in Business Intelligence, Data Science, and SMEs in partnering business units o translate analytics and business requirements into SQL and data structures
• Responsible for ensuring platforms, products, and services are delivered with operational excellence and rigorous adherence to ITSM process and InfoSec policies.
• Adopt and follow sound Agile practices for the delivery of data engineering and analytics solutions.
• Create documentation for reference, process, data products, and data infrastructure
• Embrace ambiguity and other duties as assigned.

What you'll need to be successful in this role:

• 3-5 years of engineering experience in enterprise data warehousing, data engineering, business intelligence, and delivering analytics solutions
• 1-2 years of SaaS industry experience required
• Deep understanding of current technologies and design patterns for data warehousing, data pipelines, data modeling, analytics, visualization, and machine learning (e.g. Kimball methodology)
• Solid understanding of modern distributed data architectures, data pipelines, API pub/sub services
• Experience engineering for SLA-driven data operations with responsibility for uptime, delivery, consistency, scalability, and continuous improvement of data infrastructure
• Ability to understand and translate business requirements into data/analytic solutions
• Extensive experience with Agile development methodologies
• Prior experience with at least one: Snowflake, Big Query, Synapse, Data bricks, or Redshift
• Highly proficient in both SQL and Python for data manipulation and assembly of Airflow DAG’s.
• Experience with cloud administration and DevOps best practices on AWS and GCP and/or general cloud architecture best practices, with accountability cloud cost management
• Strong interpersonal, leadership and communication skills, with the ability to relate technical solutions to business terminology and goals
• Ability to work independently in a remote culture and across many time zones and outsourced partners, likely CT or ET

R365 Team Member Benefits & Compensation

• This position has a salary range of $94K-$130K. The above range represents the expected salary range for this position. The actual salary may vary based upon several factors, including, but not limited to, relevant skills/experience, time in the role, business line, and geographic location. Restaurant365 focuses on equitable pay for our team and aims for transparency with our pay practices.
• Comprehensive medical benefits, 100% paid for employee
• 401k + matching
• Equity Option Grant
• Unlimited PTO + Company holidays
• Wellness initiatives

$90,000 - $130,000 a year

R365 is an Equal Opportunity Employer and we encourage all forward-thinkers who embrace change and possess a positive attitude to apply.

Salary and compensation

No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, InfoSec, Python, Accounting, DevOps, Cloud, API and Engineer jobs that are similar: $60,000 — $110,000/year

Restaurant365 is a SaaS company disrupting the restaurant industry! Our cloud-based platform provides aunique, centralized solution for accounting and back-office operations for restaurants. Restaurant365’s culture is focused on empowering team members to produce top-notch results while elevating their skills. We’re constantly evolving and improving to make sure we are and always will be “Best in Class” … and we want that for you too!

Restaurant365 is looking for an experienced Data Engineer to join our data warehouse team thatenables the flow of information and analytics across the company. The Data Engineer will participate in the engineering of our enterprise data lake, data warehouse, and analytic solutions. This is a key role on a highly visible team that will partner across the organization with business and technical stakeholders to create the objects and data pipelines used for insights, analysis, executive reporting, and machine learning. You will have the exciting opportunity to shape and grow with a high performingteam and the modern data foundation that enables the data-driven culture to fuel the company’s growth.

How you'll add value:

• Participate in the overall architecture, engineering, and operations of a modern data warehouse and analytics platforms.
• Design and develop the objects in the Data Lake and EDW that serve as core building blocks for the semantic layer and datasets used for reporting and analytics across the enterprise.
• Develop data pipelines, transformations (ETL/ELT), orchestration, and job controls using repeatable software development processes, quality assurance, release management, and monitoring capabilities.
• Partner with internal business and technology stakeholders to understand their needs and then design, build and monitor pipelines that meet the company’s growing business needs.
• Look for opportunities for continuous improvements that automate workflows, reduce manual processes, reduce operational costs, uphold SLAs, and ensure scalability.
• Use an automated observability framework for ensuring the reliability of data quality, data integrity, and master data management.
• Partner closely with peers in Product, Engineering, Enterprise Technology, and InfoSec teams on the shared enterprise needs of a data lake, data warehouse, semantic layer, transformation tools, BI tools, and machine learning.
• Partner closely with peers in Business Intelligence, Data Science, and SMEs in partnering business units o translate analytics and business requirements into SQL and data structures
• Responsible for ensuring platforms, products, and services are delivered with operational excellence and rigorous adherence to ITSM process and InfoSec policies.
• Adopt and follow sound Agile practices for the delivery of data engineering and analytics solutions.
• Create documentation for reference, process, data products, and data infrastructure
• Embrace ambiguity and other duties as assigned.

What you'll need to be successful in this role:

• 3-5 years of engineering experience in enterprise data warehousing, data engineering, business intelligence, and delivering analytics solutions
• 1-2 years of SaaS industry experience required
• Deep understanding of current technologies and design patterns for data warehousing, data pipelines, data modeling, analytics, visualization, and machine learning (e.g. Kimball methodology)
• Solid understanding of modern distributed data architectures, data pipelines, API pub/sub services
• Experience engineering for SLA-driven data operations with responsibility for uptime, delivery, consistency, scalability, and continuous improvement of data infrastructure
• Ability to understand and translate business requirements into data/analytic solutions
• Extensive experience with Agile development methodologies
• Prior experience with at least one: Snowflake, Big Query, Synapse, Data bricks, or Redshift
• Highly proficient in both SQL and Python for data manipulation and assembly of Airflow DAG’s.
• Experience with cloud administration and DevOps best practices on AWS and GCP and/or general cloud architecture best practices, with accountability cloud cost management
• Strong interpersonal, leadership and communication skills, with the ability to relate technical solutions to business terminology and goals
• Ability to work independently in a remote culture and across many time zones and outsourced partners, likely CT or ET

R365 Team Member Benefits & Compensation

• This position has a salary range of $94K-$130K. The above range represents the expected salary range for this position. The actual salary may vary based upon several factors, including, but not limited to, relevant skills/experience, time in the role, business line, and geographic location. Restaurant365 focuses on equitable pay for our team and aims for transparency with our pay practices.
• Comprehensive medical benefits, 100% paid for employee
• 401k + matching
• Equity Option Grant
• Unlimited PTO + Company holidays
• Wellness initiatives

BI-Remote

$90,000 - $130,000 a year

R365 is an Equal Opportunity Employer and we encourage all forward-thinkers who embrace change and possess a positive attitude to apply.

Salary and compensation

No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, InfoSec, Python, Accounting, DevOps, Cloud, API and Engineer jobs that are similar: $60,000 — $110,000/year

Benefits

401(k)

Distributed team

Async

Vision insurance

Dental insurance

Medical insurance

Unlimited vacation

Paid time off

4 day workweek

401k matching

Company retreats

Coworking budget

Learning budget

Free gym membership

Mental wellness budget

Home office budget

Pay in crypto

???? Pseudonymous

Profit sharing

Equity compensation

️ No whiteboard interview

No monitoring system

No politics at work

We hire old (and young)

Location

Remote

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