Applied SystemsRemote
Data Engineer
United States
Full-time
3 days ago
$60,000 - $120,000 USD
H1B Sponsor Likely
Key skills
BigQuerySQLData warehousingPythonGoogle Cloud PlatformData modelingAgile frameworksAnalytical skillsProblem-solving skillsCommunication skillsAIETLData EngineeringData WarehousingData LakeGoogle CloudJiraConfluenceAgileScrum
About this role
Applied Systems is transforming the insurance industry by building a team focused on innovative software and services. The Data Engineer will work closely with data architects and scientists to enhance data solutions and AI initiatives, ensuring data integrity and optimizing data architecture for global teams.
Responsibilities:
- Code BigQuery procedures, functions, and other database objects by applying expert knowledge in BigQuery SQL and ANSI SQL
- Implement scalable and efficient data models within our data lake, with a focus on BigQuery
- Manage and optimize data storage, partitioning, and clustering strategies to ensure high performance and reliability of our data infrastructure
- Develop and implement features and enhancements in BigQuery, levering your expertise in SQL and cloud-based data warehousing technologies
- Collaborate with cross-functional teams to understand requirements and deliver solutions aligned with business objectives, security requirements, and guidelines for data governance
- Develop documentation for the team to support design discussions
- Ensure data integrity and quality by implementing robust data validation and error-handling mechanisms. Maintain and advocate for these standards through code review
- Identify and implement improvements across the full lifecycle of data management, from ingestion to ETL processes and final reporting layers, to increase productivity on the team
- Continuously build knowledge of industry trends and advancements in data engineering and big data technologies
Requirements:
- 3+ years focused on modeling, building, and maintaining data solutions
- Proven experience with BigQuery and cloud-based data warehousing solutions
- Advanced knowledge of data modeling, data warehousing, and big data architecture
- Experience managing and optimizing BigQuery and Google Cloud Platform data services
- Proficiency in SQL and Python to manipulate, store, manage, or retrieve data assets
- Knowledge of Agile frameworks, ideally Scrum, and tools like Jira and Confluence
- Ability to communicate with global team members to clarify requirements, confirm priorities, and deliver solutions within committed timelines
- Advanced analytical and problem-solving skills, with a detail-oriented mindset
- Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience