Data Engineer
Data Engineer
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Job Description
Meet Benevity
Benevity is the way the world does good providing companies (and their employees) with technology to take social action on the issues they care about. Through giving volunteering grantmaking employee resource groups and microactions we help most of the Fortune 100 brands build better cultures and use their power for good. Were also one of the first B Corporations in Canada meaning were as committed to purpose as we are to profits. We have people working all over the world including Canada Spain Switzerland the United Kingdom the United States and more!
As a Data Engineer you will be a key member of our data team responsible for designing building and maintaining scalable and efficient data pipelines. You will work closely with data scientists analysts and other teams to ensure the organizations data infrastructure is optimized to meet the needs of business analytics machine learning and reporting. Your expertise in managing data workflows ETL (Extract Transform Load) processes and integrating various data sources will be vital in supporting datadriven decisionmaking across the organization.
If youre eager to make a difference and thrive in a collaborative setting we invite you to join our team!
What youll do:
- Data Pipeline Development: Design build and maintain robust and scalable data pipelines that automate data extraction transformation and loading from various sources (databases APIs flat files etc.).
- Data Integration: Integrate disparate data sources into a unified accessible format for analytics and reporting purposes.
- Data Modeling: Develop data models data warehousing solutions and implement best practices for structuring and storing large volumes of data.
- ETL Process Management: Develop and optimize ETL processes to handle highthroughput realtime data streams and batch processing.
- Performance Optimization: Monitor optimize and troubleshoot data processing workflows for improved speed efficiency and scalability.
- Collaboration: Work with crossfunctional teams including Data Scientists Analysts and Business Intelligence teams to deliver highquality data solutions.
- Data Quality Assurance: Ensure data quality integrity and compliance with industry standards and best practices.
- Cloud and Big Data Technologies: Manage cloudbased data storage solutions and big data processing frameworks to enable realtime and batch analytics at scale.
What youll bring:
- Bachelors or Masters degree in Computer Science or equivalent professional experience
- 4 years of professional experience in data engineering or a related field.
- Solid understanding of data modeling ETL processes and data warehousing.
- Experience working with largescale data infrastructure including batch and stream processing systems.
- Strong problemsolving skills and attention to detail.
- Excellent communication and teamwork abilities.
- Ability to manage multiple projects and priorities in a fastpaced environment.
- Passion for continuous learning and keeping up with the latest data engineering trends
Preferred Skills and Tools:
- Programming Languages: Proficient in Python Java or Scala for data processing and automation.
- Big Data Technologies: Familiarity with Hadoop Spark Kafka or similar distributed data processing frameworks.
- ETL Tools: Experience with ETL tools like Apache NiFi Talend or Informatica.
- Databases: Knowledge of SQL and NoSQL databases such as PostgreSQL MySQL MongoDB or Cassandra.
- Cloud Platforms: Proficiency with cloud services such as AWS (Redshift S3 Lambda) Google Cloud (BigQuery Dataflow) or Azure (Data Lake SQL Data Warehouse).
- Data Warehousing Solutions: Experience with data warehousing platforms like Snowflake Amazon Redshift or Google BigQuery.
- Data Orchestration Tools: Familiarity with Apache Airflow Prefect or similar tools for workflow automation and scheduling.
- Version Control: Experience with Git for source code management and collaboration.
Greattohaves:
- AWS Certified Data Analytics Specialty
- Google Professional Data Engineer
- Microsoft Certified: Azure Data Engineer Associate
- Cloudera Certified Associate (CCA) Data Analyst
- Certified Data Management Professional (CDMP)
Discover your purpose at work
Were not employees were Benevityites. From all locations backgrounds and walks of life who deserve more
Innovative work. Growth opportunities. Caring coworkers. And a chance to do work that fills us with a sense of purpose.
If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where youre valued for who you are and challenged to see who you can become
Its time to join Benevity. Were so excited to meet you.
Where we work
At Benevity we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work strong relationships and personal wellbeing. For those located near one of our offices while theres no set requirement for inoffice time we do value the moments when coming together in person helps us build connection and collaboration. Whether its for onboarding project work or a chance to align and bond as a team we trust our people to make thoughtful decisions about when showing up in person matters most.
Join a company where DEIB isnt a buzzword
Diversity equity inclusion and belonging are part of Benevitys DNA. Youll see the impact of our massive investment in DEIB daily from our wellsupported employee resources groups to the exceptional diversity on our leadership and tech teams.
We know that diverse backgrounds experiences skills and passions are what move our business and our people forward so were committed to creating a culture of belonging with equal opportunities for everyone to shine.
That starts with a fair and accessible hiring process. If you want to feel seen heard and celebrated you belong at Benevity.
Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to .
Employment Type
Full Time
