data engineer Remote
Job description
Inclusively is partnering with a leading insurance software company to hire a Principal Data Engineer.
ABOUT INCLUSIVELY:
Inclusively is a digital tech platform that connects candidates with disabilities, who may benefit from workplace accommodations, to inclusive employers. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD). Applicants with one or more of these conditions are encouraged to apply; Inclusively does not require applicants to disclose their specific disability.
What You Will Do
- Build and maintain enterprise-level cloud-native systems.
- Design and implement data models that support large-scale data processing.
- Lead the development of data processing pipelines using Apache Spark or similar big data frameworks.
- Develop and maintain data infrastructure and tools to support the analytics team.
- Manage and optimize database and data storage solutions.
- Build and maintain data integrations with third-party systems.
- Collaborate with cross-functional teams to define data architecture and infrastructure.
- Define best practices and standards for data engineering.
- Manage and mentor a team of data engineers.
- Continuously research and evaluate new technologies and techniques for data engineering.
What You Will Need to Be Successful
- Remote Opportunity: Ability to work 100% remotely, or from an office
- Your experience should include some or all of the following:8+ years of experience in data engineering and architecture.
Strong programming skills in languages such as Python, Java, Scala, or SQL.
Extensive experience with big data technologies such as Hadoop, Spark, Kafka, or Flink.
Experience with cloud-native data platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
Deep understanding of data modeling, ETL processes, and data warehousing concepts.
Knowledge of distributed computing principles and experience with parallel processing of large data sets.
Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
What You’ll Gain
Benefits from Day One
- Health insurance plans, dental, and vision
- Wellness incentives
- 401(k) and/or RRSP retirement savings plans with employer match
Work-Life Balance
- Competitive paid vacation time and a free day for your birthday
- Personal/sick time
- Paid holidays
- Flex Time
- Paid parental leave (U.S. candidates)
- Volunteer time off
Empowering Career Growth and Success – We invest in talent, care about our people and are empowered by the results of our work. We grow our teams from within and give our employees opportunities to advance.
Job Type: Full-time
Schedule:
- Monday to Friday
Work Location: Remote
